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دسترسی آزاد مقاله
1 - ارائه مدلی جهت پیش بینی و بهبود کیفیت تولید با استفاده از الگوریتم های درخت تصمیم و برنامه ریزی خطی ( مورد مطالعه: شرکتهای تولید کننده موج گیرتیبا در ایران)
نادره سادات راست قلم رویا محمدعلی پور اهری احمد رضا شکرچی زاده عاطفه امین دوستامروز در اکثر صنایع کشور از ابزار کنترل کیفیت آماری جهت بهبود کیفیت محصولات استفاده می‌نمایند ولی با توجه به حجم بالای دادهها در حال حاضر نیاز به ابزاری قوی‌تر می‌باشد که بتواند فرایندهای کنترل کیفیت آماری را تحت کنترل قرار دهد با توجه به گستردگی الگوریتم‌های داده‌کاوی چکیده کاملامروز در اکثر صنایع کشور از ابزار کنترل کیفیت آماری جهت بهبود کیفیت محصولات استفاده می‌نمایند ولی با توجه به حجم بالای دادهها در حال حاضر نیاز به ابزاری قوی‌تر می‌باشد که بتواند فرایندهای کنترل کیفیت آماری را تحت کنترل قرار دهد با توجه به گستردگی الگوریتم‌های داده‌کاوی در این تحقیق از ابزار داده‌کاوی جهت بهبود فرایند استفاده شده است و همچنین هدف اصلی تحقیق ارائه روشی جهت کشف اقلام معیوب قبل از تولید کامل آنها و جلوگیری از تولید اقلام معیوب می‌باشد. روش کار بدین گونه است که در ابتدا پایگاه داده خرابی تشکیل می‌گردد و پس از جمع آوری داده های کنترل کیفیت، با استفاده از الگوریتم‌های مختلف درخت تصمیم دقت پیش بینی کیفیت قطعات تعیین می‌گردد و در مرحله بعد با استفاده از مدل-تحلیلپوششیدادهها هر یک از قوانین ارزیابی می گردد و در نهایت با استفاده از قوانینی که در هر ایستگاه کاری صدق میکنند ارزیابی ایستگاه های کاری انجام می گیرد. بر این اساس در این پژوهش جامعه آماری تمامی قطعات تولیدی موج‌گیر تیبا در سال 1398 می‌باشد. خصیصه ها شامل 9 ایستگاه کاری هستند، بر اساس نتایج بدست آمده بهترین الگوریتم در پیش‌بینی خرابی C5 می‌باشد و مهمترین خصیصه‌های انتخابی توسط آن تعیین می‌گردند عبارت‌اند از: کیفیت خنک کاری، کیفیت سوراخ کاری و کیفیت برش. همچنین ارزیابی قوانین نیز با استفاده از مدل‌تحلیل‌پوششی‌داده‌ها انجام شده و مهمترین قوانین استخراج شده‌اند و در نهایت بر اساس حل مدل دستگاه‌هایی که در اولویت اصلاحی برای سال جاری قرار گیرند عبارتند از: رولینگ، لحیم کاری و برش پرونده مقاله -
دسترسی آزاد مقاله
2 - بررسی عملکرد مالی شرکتها بااستفاده از مدل تحلیل پوششی داده ها و مدل زمیسکی و مقایسه نتایج این دومدل (مطالعه موردی: شرکتهای دارویی پذیرفته شده در بورس و اورا ق بهادار)
اکبر رحیمی پور معصومه تدریس حسنیورشکستگی های اخیر شرکت های بزرگ در سطح بین المللی و نوسان های بورس اوراق بهادار در ایران، به وجود ابزارهایی برای ارزیابی توان مالی شرکتها نیاز دارد. مدل های مختلفی برای پیش بینی ورشکستگی و بررسی وضعیت مالی سازمانها مورداستفاده قرار می گیرد. تغییرات محیطی و رقابت روزافزو چکیده کاملورشکستگی های اخیر شرکت های بزرگ در سطح بین المللی و نوسان های بورس اوراق بهادار در ایران، به وجود ابزارهایی برای ارزیابی توان مالی شرکتها نیاز دارد. مدل های مختلفی برای پیش بینی ورشکستگی و بررسی وضعیت مالی سازمانها مورداستفاده قرار می گیرد. تغییرات محیطی و رقابت روزافزون موسسات، دستیابی به سود موردنظر را برای سازمانها محدود کرده است. بدین لحاظ، تصمیم گیری مالی نسبت به گذشته اهمیت بیشتری یافته و مدیران را وادار ساخته تا بابهره گیری از تکنیک های پیشرفته روشهای جدید کنترل را به کارگیرند. در این راستا، پژوهش حاضر با هدف ارائه مبانی تئوریکی پژوهش و مقایسه نتایج حاصل از به کارگیری مدل های تحلیل پوششی داده ها و مدل زمیسکی جهت ارزیابی عملکرد و بررسی چگونگی وضعیت مالی شرکتها ارائه گردیده است. از این رو داده های جمع آوری شده 10 شرکت دارویی پذیرفته شده در بورس و اوراق بهادار مورد آزمون قرارگرفتند. نتایج حاصل از این پژوهش نشان میدهد که در ارزیابی و بررسی چگونگی وضعیت مالی شرکتها، با روش تحلیل پوششی داده ها تنها یک شرکت و با روش زمیسکی تنها دو شرکت دارای وضعیت مالی بهتری نسبت به سایر شرکتها بوده اند. هم چنین راهکارهایی جهت ارتقاء و بهبود وضعیت مالی سایر شرکتها با استفاده از روش تحلیل پوششی داده ها نیز ارائه گردیده است. پرونده مقاله -
دسترسی آزاد مقاله
3 - ارزیابی پیشرفت و پسرفت رسانه‌های چاپی با استفاده از شاخص بهره‌وری مالم‌کوئیست در تحلیل پوششی دادهها
هانیه حقیقی نیا محسن رستمی مال خلیفه محمد سلطانی فر اکبر نصرالهیمحدودیت منابع یک واقعیت غیر قابل انکار است که بسیاری از سازمانها (نظیر سازمان‌های رسانه‌ای) با آن در ارتباط هستند؛ از این رو، بهبود بهره‌وری منابع این سازمانها نیز یکی از مهمترین نگرانی‌های مدیران است. در نتیجه، یک مدیر باید عملکرد سازمان خود را پیوسته ارزیابی کند. د چکیده کاملمحدودیت منابع یک واقعیت غیر قابل انکار است که بسیاری از سازمانها (نظیر سازمان‌های رسانه‌ای) با آن در ارتباط هستند؛ از این رو، بهبود بهره‌وری منابع این سازمانها نیز یکی از مهمترین نگرانی‌های مدیران است. در نتیجه، یک مدیر باید عملکرد سازمان خود را پیوسته ارزیابی کند. در این مقاله، قصد داریم میزان پیشرفت و پسرفت روزنامه‌های چاپی ایران را بین سال‌های (1394) و (1395) ارزیابی کنیم. این مطالعه، از لحاظ هدف کاربردی است و از شاخص بهره‌وری مالم‌کوئیست که یک رویکرد بسیار مفید در تحلیل پوششی دادهها برای اندازه‌گیری میزان پیشرفت و پسرفت واحدهای تصمیم‌گیرنده‌ی تحت ارزیابی است، استفاده کرده است. جهت تجزیه و تحلیل دادهها نیز از نرم‌افزار گمز که یک سیستم مدلسازی قوی برای برنامه‌نویسی ریاضی و بهینهسازی است، استفاده شده است. پس از مرور ادبیات ارزیابی عملکرد و مصاحبه با خبرگان حوزه‌ی مدیریت رسانه و همچنین، کارشناسان معاونت مطبوعاتی وزارت فرهنگ و ارشاد اسلامی، شاخصهای مورد نیاز شناسایی و انتخاب شده است. نتایج حاصل از مقایسه‌ی شاخصهای درون سازمانی در دو سال متوالی (1394) و (1395) نشان میدهد از 87 واحد تصمیم‌گیرنده‌ی تحت ارزیابی، 29 واحد پیشرفت و 58 واحد پسرفت داشته‌اند. به منظور بهبود واحدهایی که پسرفت داشته‌اند، استراتژی مناسب پیشنهاد شده است. پرونده مقاله -
دسترسی آزاد مقاله
4 - تعیین بازده به مقیاس‌های چپ و راست در زنجیرة تأمین سبز دو مرحلهای با استفاده از تحلیل پوششی داده‌های شبکهای
روح اله شرف الدین امیر غلام ابری محمد فلاحدر عصر حاضر ارزیابی و سپس بهبود عملکرد سیستمهای تولیدی و در کل زنجیرههای تأمین، بعنوان تنها راه ممکن جهت رقابت در بازار جهانی کسب و کار مطرح می‌باشد. تکنیک تحلیل پوششی دادهها (DEA) بعنوان یک روش برنامه‌ریزی ریاضی، روشی ناپارامتریک برای اندازه‌گیری کارایی نسبی سیستم‌ه چکیده کاملدر عصر حاضر ارزیابی و سپس بهبود عملکرد سیستمهای تولیدی و در کل زنجیرههای تأمین، بعنوان تنها راه ممکن جهت رقابت در بازار جهانی کسب و کار مطرح می‌باشد. تکنیک تحلیل پوششی دادهها (DEA) بعنوان یک روش برنامه‌ریزی ریاضی، روشی ناپارامتریک برای اندازه‌گیری کارایی نسبی سیستمهای تولیدی و واحدهای تصمیمگیرنده با چندین ورودی و خروجی همگن است. تعیین نوع بازده به مقیاس (RTS) به مدیران کمک میکند که پیشبینیهای دقیقتری در رابطه با توسیع یا تحدید واحد تصمیمگیرنده (DMU) داشته باشند. با توجه به اهمیت RTS در رابطه با تصمیم گیریهای مدیریتی، روشهای مختلف و متنوعی از سوی پژوهشگران علم DEA جهت معرفی و تعیین نوع آن ارائه شده است. تحقیق‌ها در ارزیابی RTS، منجر به دستهبندی کلی‌تری از انواع RTS، با عناوین بازده به مقیاس چپ (L-RTS) و بازده به مقیاس راست (R-RTS) شده است.این تحقیق به مطالعه فرآیند تولید دو مرحلهای میپردازد و یک رویکرد برای برآورد نوع بازده به مقیاس راست و چپ DMUs معرفی می‌نماید. در این مقاله کاربرد مدل DEA شبکهای برای محاسبه کارایی نسبی و بازده به مقیاس شرکتهای سیمان حاضر در بورس اوراق بهادار مورد مطالعه قرار گرفته است. داده‌های مورد استفاده در مدل، مربوط به فرآیند تولید 42 شرکت سیمان در سال 1400 می‌باشد. پرونده مقاله -
دسترسی آزاد مقاله
5 - تخصیص بهینه منابع با بکارگیری جوابهای ایده آل
سعید قبادی سعید جهانگیریاین مقاله یک روش جدید بر اساس بردار ورودی ایده آل برای تخمین ورودی ها تحت حفظ اندازه کارایی از یک واحد تصمیم گیرنده وقتی که برخی یا همه خروجی های آن افزایش یافته است، پیشنهاد می دهد. بعبارت دیگر، این مقاله سوال زیر را مطالعه کرده است: تحت حفظ کارایی، به چه میزانی می بای چکیده کاملاین مقاله یک روش جدید بر اساس بردار ورودی ایده آل برای تخمین ورودی ها تحت حفظ اندازه کارایی از یک واحد تصمیم گیرنده وقتی که برخی یا همه خروجی های آن افزایش یافته است، پیشنهاد می دهد. بعبارت دیگر، این مقاله سوال زیر را مطالعه کرده است: تحت حفظ کارایی، به چه میزانی می بایستی ورودی های یک واحد تصمیم گیرنده افزایش یابد در شرایطی که برخی یا همه خروجی های آن افزایش داده شده باشد؟ در روش ارایه شده در این مقاله، برخلاف روش های پیشنهاد شده دیگر، سوال فوق فقط بر پایه مسایل برنامه ریزی خطی تک هدفی پاسخ داده شده است. مساله تخمین ورودی ها بر پایه مدل غیر شعاعی راسل پیشرفته مورد بررسی قرار گرفته است. شرایط لازم و کافی برای تخمین ورودی ها بر پایه برنامه ریزی خطی پیشنهاد گردیده است. بعلاوه، اگر کمبودی در هر یک از مولفه های خروجی واحد تصمیم گیرنده وجود داشته باشد شناسایی می شود. یک مثال با داده های واقعی برای توضیح از روش پیشنهادی ارایه شده است. پرونده مقاله -
دسترسی آزاد مقاله
6 - خروجی های با تاخیر زمانی در فرآیندهای تولیدی: روشی مبتنی بر تحلیل پوششی داده ها
سهیلا سیدبویر مهناز مقبولی فاطمه متروددر مدل های کلاسیک تحلیل پوششی داده ها، مجموعه ای از داده ها با موقعیت مشخص به عنوان ورودی یا خروجی داده می شود. اما در بسیاری موارد عملی،یک شاخص می تواند برای بعضی از واحدهای تصمیم گیرنده به عنوان ورودی و برای بعضی دیگر به عنوان خروجی عمل نماید. برای مثال در فعالیت های چکیده کاملدر مدل های کلاسیک تحلیل پوششی داده ها، مجموعه ای از داده ها با موقعیت مشخص به عنوان ورودی یا خروجی داده می شود. اما در بسیاری موارد عملی،یک شاخص می تواند برای بعضی از واحدهای تصمیم گیرنده به عنوان ورودی و برای بعضی دیگر به عنوان خروجی عمل نماید. برای مثال در فعالیت های دانشگاه همیشه با این سوال مواجه هستیم که درآمد حاصل از تحقیقات را به عنوان ورودی یا خروجی در نظر بگیریم؟ در حالت وجود چنین شاخص هایی سوال اصلی این است که چگونه در مورد نقش هر شاخص به عنوان ورودی یا خروجی تصمیم بگیریم. در برخی از ساختارهای مورد مطالعه، چنین متغیرهایی در قالب نقش دوگانه عمل می کند. یعنی در دوره ی اول زمانی به عنوان خروجی و در دوره ی زمانی دوم به عنوان ورودی عمل میکنند . چنین متغیرهایی را متغیرهای با تاخیر زمانی می نامند. در این مقاله این متغیرها را در قالب متغیرهایی با ساختار نقش دوگانه مورد بررسی قرار میدهیم و کارایی سیستم را با استفاده از تکنولوژی موسوم به تکنولوژی بهم پیوسته مورد ارزیابی قرار میدهیم. همچنین کارایی سیستم را با توجه به هر دوره زمانی با توجه به اینکه متغیر با تاخیر زمانی یکبار نقش ورودی و بار دیگر نقش خروجی را دارد مورد ارزیابی قرار می دهیم. پرونده مقاله -
دسترسی آزاد مقاله
7 - ارزیابی عملکرد زنجیره ارزش پروژه های تحقیق و توسعه برای سیستم ها و محصولات پیچیده: رویکرد تحلیل پوششی داده های سه مرحله ای فازی
پژمان پیکانی جعفر قیدر خلجانیهدف از پژوهش پیش رو، ارائه یک سیستم ارزیابی عملکرد با قابلیت در نظر گرفتن ساختار شبکه ای زنجیره ارزش پروژه های تحقیق و توسعه برای سیستم ها و محصولات پیچیده تحت عدم قطعیت داده ها می باشد. از این رو به منظور دستیابی به این هدف، از رویکرد تحلیل پوششی داده های شبکه ای و برن چکیده کاملهدف از پژوهش پیش رو، ارائه یک سیستم ارزیابی عملکرد با قابلیت در نظر گرفتن ساختار شبکه ای زنجیره ارزش پروژه های تحقیق و توسعه برای سیستم ها و محصولات پیچیده تحت عدم قطعیت داده ها می باشد. از این رو به منظور دستیابی به این هدف، از رویکرد تحلیل پوششی داده های شبکه ای و برنامه ریزی امکانی برای ارائه یک رویکرد تحلیل پوششی داده های شبکه ای فازی بهره گرفته شده است. لازم به ذکر است که ساختار حاکم بر زنجیره ارزش در قالب سه مرحله شامل تحقیق و توسعه، ساخت و تست و در نهایت عملیات در نظر گرفته شده است. در نهایت رویکرد پیشنهادی پژوهش با استفاده از داده های مربوط به ده پروژه تحقیق و توسعه برای سیستم ها و محصولات پیچیده در ایران پیاده سازی و اجرا گردید که نتایج حاکی از توانمندی و کاربردی بودن رویکرد پیشنهادی تحلیل پوششی داده های سه مرحله ای فازی می باشند.کلمات کلیدی: پروژه تحقیق و توسعه، سیستم ها و محصولات پیچیده، تحلیل پوششی داده های شبکه ای، زنجیره ارزش، عدم قطعیت. پرونده مقاله -
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8 - ارزیابی کارایی واحدهای تصمیم گیرنده با مدل کلاسیک و آرمانی تحلیل پوششی داده ها و ارتباط سنجی خروجی ها با روشهای آماری در بانک قوامین.
غلامرضا پناهنده خوجین عباس طلوعی اشلقی محمد علی افشار کاظمیهدف: هدف این مطالعه تعیین و ارزیابی کارایی واحدهای تصمیم گیرنده با مدل کلاسیک و برنامه ریزی آرمانی تحلیل پوششی داده ها و ارتباط سنجی خروجی ها با روشهای آماری در بانک قوامین می باشد.روش: در این مقاله برای تعیین کارایی مدیریت شعب استانها در بانک قوامین مدل تحلیل پوششی داد چکیده کاملهدف: هدف این مطالعه تعیین و ارزیابی کارایی واحدهای تصمیم گیرنده با مدل کلاسیک و برنامه ریزی آرمانی تحلیل پوششی داده ها و ارتباط سنجی خروجی ها با روشهای آماری در بانک قوامین می باشد.روش: در این مقاله برای تعیین کارایی مدیریت شعب استانها در بانک قوامین مدل تحلیل پوششی داده ها برمبنای BCCخروجی محور مورد استفاده قرارگرفت. همچنین برای بالابردن قدرت تفکیک پذیری واحد های تصمیم گیرنده کارا از ناکارا ابتدا مدلهای پیش فرض مدل برنامه ریزی آرمانی تحلیل پوششی داده ها مورد بررسی قرار گرفته، سپس خروجی مدلهای پیش فرض بعنوان بخشی از ورودی مدل برنامه ریزی آرمانی تحلیل پوششی داده مورد استفاده قرار گرفت و در انتها برای سنجش همبستگی مدل کلاسیک با مدل برنامه ریزی آرمانی در خروجی ها از ضریب همبستگی پیرسون استفاده شد.یافته: بر اساس مقادیر خروجی مدلBCC خروجی محور تمامی واحد های تصمیم گیرنده کارا بوده و مقدار کارایی آنها برابر یک شد، سپس برای تفکیک پذیری بیشتر از مدل برنامه ریزی آرمانی تحلیل پوششی داده ها استفاده شد، نتایج آن نشان دادکه از بین 32 واحد تصمیم گیرنده 21 واحد کارا و بقیه ناکارا می باشند. همچنین نتایج نشان داد که بین مدل کلاسیک با مدل برنامه ریزی آرمانی همبستگی معنی داری وجود دارد.نتیجه گیری: نتایج نشان داد که مدل برنامه ریزی آرمانی تحلیل پوششی داده در تفکیک واحد های تصمیم گیرنده کارا از ناکارا ، دارای قدرت تفکیک پذیری بالاتری نسبت به مدل BCC خروجی محور می باشد . پرونده مقاله -
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9 - یک مدل راسل توسعه یافته برای اندازه گیری کارایی تجمیعی سیستمهای تولید چند دوره‌ای
محمد نجاری الموتی محسن خون سیاوش رضا کاظمی متین زهره مقدسارزیابی عملکرد سیستمهای تولید با در نظر گرفتن داده‌های مربوط به دوره‌های زمانی مختلف یکی از مهمترین مسائل نظریه تولید است. در این مقاله یک روش جدید برای اندازه گیری کارایی تجمیعی سیستمهای تولید چند دوره‌ای با استفاده از روش تحلیل پوششی دادهها ارائه میشود. رویکرد ارا چکیده کاملارزیابی عملکرد سیستمهای تولید با در نظر گرفتن داده‌های مربوط به دوره‌های زمانی مختلف یکی از مهمترین مسائل نظریه تولید است. در این مقاله یک روش جدید برای اندازه گیری کارایی تجمیعی سیستمهای تولید چند دوره‌ای با استفاده از روش تحلیل پوششی دادهها ارائه میشود. رویکرد ارائه شده را میتوان به عنوان توسعه‌ای از روشهای شعاعی در ادبیات در نظر گرفت. یک مدل مبتنی بر راسل توسعه یافته برای اولین بار برای اندازه گیری کارایی تجمیعی با در نظر گرفتن بازه‌های زمانی مراحل تولید ارائه میشود. یکی از ویژگی‌های مفید مدل پیشنهادی این است که ناکارایی رویکرد تجمیعی موجود در یک مرحله بدون نیاز به در نظر گرفتن مرحله دوم برای بهینه سازی متغیرهای کمکی، قابل تشخیص است. ویژگی‌ها و مزایای مدل جدید بحث میشوند. در پایان، برای نشان دادن قابلیت اجرای رویکرد جدید، دو مثال کاربردی بررسی و تحلیل میشوند. نتایج، عملکرد خوب روش پیشنهادی را نشان می دهند. پرونده مقاله -
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10 - کارایی هزینه زنجیره تامین حلقه بسته در حضور عوامل دو نقشی و نامطلوب
منیره جهانی صیادنویری سهراب کردرستمی علیرضا امیرتیموریمدیریت زنجیره تامین برای موفقیت واحدهای اقتصادی و رضایت مشتریان لازم و اساسی است. علاوه بر این یک سیستم ارزیابی عملکرد مناسب به منظور مدیریت موثر زنجیره تامین ضروری است. با توجه به اهمیت مدیریت هزینه در زنجیره تامین، در این بررسی یک روش مبتنی بر تحلیل پوششی داده­ها چکیده کاملمدیریت زنجیره تامین برای موفقیت واحدهای اقتصادی و رضایت مشتریان لازم و اساسی است. علاوه بر این یک سیستم ارزیابی عملکرد مناسب به منظور مدیریت موثر زنجیره تامین ضروری است. با توجه به اهمیت مدیریت هزینه در زنجیره تامین، در این بررسی یک روش مبتنی بر تحلیل پوششی داده­ها به منظور ارزیابی کارایی هزینه زنجیره­های تامین حلقه بسته پیشنهاد می­شود در حالی که عوامل دو نقشی و خروجی نامطلوب حضور دارند. تحلیل­پوششی­داده­ها یک روش برنامه ریزی ریاضی موثر به منظور ارزیابی و تحلیل کارایی نسبی واحدهای تصمیم­گیرنده با چندین ورودی و خروجیاست. در واقع در این تحقیق با استفاده از تکنیک تحلیل پوششی داده­ها کارایی هزینه زنجیره­های تامین با سه مولفه، تامین­کننده، تولیدکننده، و تعمیر و بازیافت و همچنین جریان­های رو به جلو و عقب ارزیابی می­شود در حالی که عوامل دو نقشی و خروجی نامطلوب در سیستم مشاهده می­شوند. فرض دسترسی­پذیری ضعیف برای خروجی­های نامطلوب در نظر گرفته می­شود. همچنین یک مطالعه موردی به منظور تشریح و تحلیل روش پیشنهادی مطرح می­شود. نتایج نشان می­دهد تشخیص درست نقش عامل­ها و همچنین در نظر گرفتن عوامل نامطلوب و برگشت­پذیر در سیستم­های زنجیره تامین نقش مهمی در محاسبه درست کارایی هزینه در هریک از مولفه­ها و زنجیره تامین کل دارد. همچنین در روش پیشنهادی کارایی هزینه کل را می­توان به صورت مجموع وزن­داری از کارایی هزینه مولفه­ها بیان کرد. پرونده مقاله -
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11 - رتبهبندی واحدهای کارا در شبکه دو مرحلهای تحلیل پوششی دادهها با روش وزن مشترک
مهناز احدزاده نمین الهه خمسهمدل­های شبکه­ای دو مرحله­ای تحلیل پوششی داده (DEA)، ازجمله مدل­های پرکاربرد در بسیاری از رشته­های مدیریت و صنایع است. یکی از مفاهیمی که در تئوری تولید، نظر پژوهشگران را به خود جلب کرده است، مفهوم رتبه­بندی واحدها با شبکه دو مرحله­ای است. رتبه چکیده کاملمدل­های شبکه­ای دو مرحله­ای تحلیل پوششی داده (DEA)، ازجمله مدل­های پرکاربرد در بسیاری از رشته­های مدیریت و صنایع است. یکی از مفاهیمی که در تئوری تولید، نظر پژوهشگران را به خود جلب کرده است، مفهوم رتبه­بندی واحدها با شبکه دو مرحله­ای است. رتبه یک واحد می­تواند اطلاعات سودمندی در زمینه فعالیت­های بهینه واحدهای تصمیم­گیرنده (DMUs) در اختیار تصمیم­گیرنده (مدیر) قرار دهد. اینکه کدام واحد بر واحد دیگر اولویت دارد. این مفهوم ارجعیت یک واحد را از نظر کارایی و اثربخشی بر واحدهای دیگر مشخص می­کند. محاسبه کارایی واحدها درشبکه دو مرحله­ای DEA انجام شده است و اندازه کارایی واحد دو مرحله­ای می­تواند ملاک مناسبی برای رتبه­بندی یک واحد باشد. اما مشکل اصلی زمانی است که چند واحد کارا همگی رتبه یک را لحاظ می­کنند. هدف از این پژوهش، ارائه مدلی جهت رتبه­بندی واحدهای کارا با استفاده از روش وزن مشترک در شبکه دو مرحله­ای DEA است. پرونده مقاله -
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12 - یکتایی بازه اطمینان کلی برای اپسیلون غیرارشمیدسی در مدل هایDEA به وسیله روش جهتی
سعید محرابیاننقش اپسیلون غیرارشمیدسی در مدل های تحلیل پوششی داده ها واضح است، به طوری که با یک مقدار نامناسب آن،برنامه ریزی های خطی مربوطه، می تواند نشدنی (برای شکل مضربی) و یا بی کران (برای شکل پوششی) باشد. این مقاله نشانبه وسیله مفهوم جهت های رأسی، یکتاست. همچنین در این DEA می دهد چکیده کاملنقش اپسیلون غیرارشمیدسی در مدل های تحلیل پوششی داده ها واضح است، به طوری که با یک مقدار نامناسب آن،برنامه ریزی های خطی مربوطه، می تواند نشدنی (برای شکل مضربی) و یا بی کران (برای شکل پوششی) باشد. این مقاله نشانبه وسیله مفهوم جهت های رأسی، یکتاست. همچنین در این DEA می دهد که بازه اطمینان کلی برای اپسیلون در مدل هایمقاله یک مقدار مطمئن برای اپسیلون با استفاده از فقط عملیات حسابی روی ورودی ها و خروجی ها ارائه شده است. پرونده مقاله -
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13 - تعیین بازده به مقیاس‌های چپ و راست و امتداد پایداری بازده به مقیاس با استفاده از مدلهای برنامه‌ریزی خطی براساس تغییرات همزمان شعایی ورودیها و خروجی‌ها
مصطفی امیدی محسن رستمی مالخلیفه علی پایان فرهاد حسین زاده لطفیتعیین نوع بازده به مقیاس (RTS) و شناسایی ناحیه­ای که در آن نوع بازده به مقیاس یک واحد تصمیم­گیرنده (DMU) پایدار باقی بماند؛ به مدیران کمک می­کند که پیش­بینی­های دقیق­تری در رابطه با تغییراتی که بر سر راه تغییر سایز یک DMU قرار می­گیرد، داشته چکیده کاملتعیین نوع بازده به مقیاس (RTS) و شناسایی ناحیه­ای که در آن نوع بازده به مقیاس یک واحد تصمیم­گیرنده (DMU) پایدار باقی بماند؛ به مدیران کمک می­کند که پیش­بینی­های دقیق­تری در رابطه با تغییراتی که بر سر راه تغییر سایز یک DMU قرار می­گیرد، داشته باشند. این مقاله تلاش می­کند که به معرفی و تعیین امتداد پایداری RTS واحدهای تصمیم­گیرنده تحت تحلیل پوششی داده­ها (DEA)، بپردازد. با توجه به اهمیت RTS در رابطه با تصمیم گیری­های مدیریتی، روش­های مختلف و متنوعی از سوی محققین DEA جهت معرفی و تعیین نوع آن ارائه شده است. پژوهش­ها در ارزیابی RTS، منجر به دسته بندی کلی­تر و عمومی­تری از انواع RTS، با عناوین « RTSچپ (L-RTS)» و « RTSراست (R-RTS)» شده است. وجه مشترک بسیاری از روش­های ارزیابی L-RTS و R-RTS این است که مدل­های بکار رفته دراین روش­ها پارامتریک هستند و لذا آنها را بایستی جزء روش­های غیرخطی دسته­بندی کرد. به منظور مقابله با این ضعف، مقاله پیشرو به ارائه روشی برای ارزیابی L-RTS و R-RTS می­پردازد که مدل­های این روش پیشنهادی خطی بوده و در مورد آنها مشکل پارامتری بودن، وجود ندارد. علاوه براین مدل­های روش پیشنهادی از این مزیت برخوردارند که با انجام تغییرات جزئی روی آنها و با تقسیم بندی مرز مجموعه امکان تولید، توانسته­ایم در این مقاله از آنها بعنوان ابزاری برای ارزیابی امتداد پایداری RTS واحدهای تصمیم­گیرنده استفاده کنیم. پرونده مقاله -
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14 - تاثیر جریان نقد آزاد و رشد شرکت بر همزمانی بازده سهام
آذر یعقوبی خانخواجه آزیتا جهانشادهدف از این تحقیق، بررسی میزان اثرگذاری تاثیر جریان نقد آزاد و رشد شرکت بر همزمانی بازده سهام در شرکت های پذیرفته شده بورس اوراق بهادار تهران است. فرضیه اصلی این تحقیق این است که شرکت های با رشد پایین و جریان نقد بالا همزمانی بازده سهام بالاتری دارند. برای آزمون فرضیه و چکیده کاملهدف از این تحقیق، بررسی میزان اثرگذاری تاثیر جریان نقد آزاد و رشد شرکت بر همزمانی بازده سهام در شرکت های پذیرفته شده بورس اوراق بهادار تهران است. فرضیه اصلی این تحقیق این است که شرکت های با رشد پایین و جریان نقد بالا همزمانی بازده سهام بالاتری دارند. برای آزمون فرضیه و رسیدن به اهداف تحقیق، 101 نمونه از شرکتها (505 سال شرکت) که در سال های1389 تا 1393 در بورس اوراق بهادار تهران پذیرفته و به روش نمونه گیری حذف سیستماتیک انتخاب شده اند. روش آماری برای فرضیه اصلی مطرح شده در این تحقیق، برازش مدل داده های ترکیبی به روش رگرسیون پانل با اثرات تصادفی است. یافته های تحقیق نشان می دهد که بین جریان نقد آزاد و رشد شرکت با همزمانی بازده سهام ارتباط معنی داری وجود داشته و در حدود 49 درصد از تغییرات متغیر همزمانی بازده سهام توسط این متغیرها بیان می شود. پرونده مقاله -
دسترسی آزاد مقاله
15 - کاربرد تحلیل پوششی داده ها برای محاسبه شاخص تلفیقی نقدشوندگی سهام (شواهدی از بورس اوراق بهادار تهران)
کیخسرو یاکیده محمدحسن قلی زاده سیدمرتضی موسوی نیادر این پژوهش از الگوی محاسبه کارایی در تحلیل پوششی داده ها، به منظور ارائه یک شاخص تلفیقی از ابعاد مختلف نقدشوندگی سهام استفاده گردیده است. در میان مدل های تحلیل پوششی داده ها، مدل دامنه تعدیل شده (RAM) از این خاصیت برخوردار است که هم ورودی ها و خروجی ها را به طور چکیده کاملدر این پژوهش از الگوی محاسبه کارایی در تحلیل پوششی داده ها، به منظور ارائه یک شاخص تلفیقی از ابعاد مختلف نقدشوندگی سهام استفاده گردیده است. در میان مدل های تحلیل پوششی داده ها، مدل دامنه تعدیل شده (RAM) از این خاصیت برخوردار است که هم ورودی ها و خروجی ها را به طور همزمان در نظر می گیرد، هم شاخص عددی برای کارایی ارائه می دهد و هم ورودی و خروجی منفی را می پذیرد؛ از این رو مدل RAM به عنوان مبنای ارائه شاخص تلفیقی نقدشوندگی سهام در این پژوهش مورد توجه قرار گرفته است. درگام بعدی اقدام به رتبه بندی واحدهای دارای شاخص تلفیقی نسبی نقدشوندگی برابر یک، بر مبنای روش رتبه بندی بر مبنای مرزهای کاملاً ناکارا نموده ایم. نتایج پژوهش حاکی از کاربرد مؤثر روش تحلیل پوششی داده ها برای محاسبه شاخص تلفیقی نسبی نقدشوندگی سهام می باشد. با استفاده از این روش، نمره شاخص تلفیقی نقدشوندگی سهام اختصاص داده شده به هر یک از شرکت های پذیرفته شده در بورس، ابعاد و جنبه های مختلف نقدشوندگی سهام یک شرکت را در بر می گیرد و بر اساس آن به راحتی می توان شرکت ها را با هم مقایسه کرد یا اینکه شاخص تلفیقی نقدشوندگی سهام یک شرکت را در چند دوره مالی مورد نظارت قرار داد. پرونده مقاله -
دسترسی آزاد مقاله
16 - A hybrid Model on the Basis of Data Envelopment Analysis and Data Mining Techniques to Analyze the Investment Behavior in Stock Exchange: A Real Case Study in Tehran Stock Exchange
Saiedeh Molla Hosseinagha Kaveh Khalili-DamghaniStock exchange, which is the core of investment market, transfers scattered resources to the productive sector of the service and industry. The analysis of stock exchange has attracted lots of researches in recent decades. The issue concern both of securities and invest چکیده کاملStock exchange, which is the core of investment market, transfers scattered resources to the productive sector of the service and industry. The analysis of stock exchange has attracted lots of researches in recent decades. The issue concern both of securities and investors. More formally both sides of investment (i.e., behavior of investors and fluctuations of returns on securities) form the markets. In this paper, a hybrid model on the basis of data envelopment analysis and data mining techniques is proposed to analyze the investment behavior in stock exchange. The proposed approach is applied in Tehran stock exchange. First, the financial data of investments on selective companies during 2013-2014 are analyzed using data mining approaches to recognize the behavioral patterns of investors and securities.Second, customers are clustered in 3 selling and 4 buying groups using data mining techniques. Then, the efficiency of active companies in stock exchange is evaluated using and input-oriented Data Envelopment Analysis model considering variable returns-to-scale assumption. Data mining techniques and DEA model are codified using MATLAB and LINGO software, respectively. The obtained results indicate that in 2013 and 2014,nine and six companies are efficient, respectively.Among these companies, six companies are efficient in both years. The most visited companies in reference sets are determined during periods of this study. The reference set of inefficient companies are determined in order to project them toward efficient frontier. The results of this study can provide insightful vision to investors in order to illustrate the behavior of previous investors and securities. پرونده مقاله -
دسترسی آزاد مقاله
17 - An algorithm for the anchor points of the PPS of the CCR model
Dariush AkbarianAnchor DMUs are a new class in the general classification of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). An anchor DMU in DEA is an extreme-efficient DMU that defines the transition from the efficient frontier to the free-disposability part of the b چکیده کاملAnchor DMUs are a new class in the general classification of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). An anchor DMU in DEA is an extreme-efficient DMU that defines the transition from the efficient frontier to the free-disposability part of the boundary of the Production Possibility Set (PPS). In this paper, the anchor points of the PPS of the CCR model are investigated. A basic definition of anchor point based on the supporting hyperplanes of the PPS of CCR model is provided. Then, by using a variant of super-efficiency models, the necessary and sufficient conditions for a DMU to be an anchor DMU are provided via some theorems. To illustrate the applicability of the proposed model, some numerical examples are finally given. پرونده مقاله -
دسترسی آزاد مقاله
18 - Ranking of units by anti-ideal DMU with common weights
Masoumeh Khanmohammadi Maryam Davaei FarData envelopment analysis (DEA) is a powerful technique for performance evaluation of decision making units (DMUs). One of the main objectives that is followed in performance evaluation is discriminating among efficient DMUs to provide a complete ranking of DMUs. DEA su چکیده کاملData envelopment analysis (DEA) is a powerful technique for performance evaluation of decision making units (DMUs). One of the main objectives that is followed in performance evaluation is discriminating among efficient DMUs to provide a complete ranking of DMUs. DEA successfully divides them into two categories: efficient DMUs and inefficient DMUs. The DMUs in the efficient category have identical efficiency score. But the question that raises here is in evaluation. Where several DMUs have the equal efficiency, which unit performs better and how can we rank these efficient units, Different methods have been presented for ranking the efficient units. In this paper, we propose a method for calculating an efficiency of DMUs by comparing with the bad benchmark line. Our approach obtain common set of weights to create the best efficiency score, such that the amount of DMUs that are efficient is less than that of other models. If we have more than one efficient DMU, we can rank them by the same model and it isn't necessary to use another ranking method. پرونده مقاله -
دسترسی آزاد مقاله
19 - A One-Model Method Based on a Relaxed Combination of Inputs for Congestion Assessment in Interval Data Envelopment Analysis
Masoumeh Hajiani Reza FallahnejadIt is of special importance to calculate and recognize the quantity of congestion, as one of the major sources of inefficiency in different areas, and attempt to resolve it in order for reducing the costs and increasing the output. To date, various methods have been pro چکیده کاملIt is of special importance to calculate and recognize the quantity of congestion, as one of the major sources of inefficiency in different areas, and attempt to resolve it in order for reducing the costs and increasing the output. To date, various methods have been proposed for the calculation of congestion in classic data envelopment analysis (DEA) with precise input and output values while, in the real world, the input and output values are imprecise in most of the cases. The present paper proposes a new model for calculating the congestion interval for interval data in such cases that the interval inputs are not constrained to the selection of dominant projection points and, thereby, more outputs can be generated for the projection points. The proposed method is used for assessing the inefficiency and finding the values of congestion in the inputs of 20 bank branches. پرونده مقاله -
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20 - Evaluating the efficiency of bank branches with random data
Maryam Ghashami Farhad Hosseinzadeh lotfiData Envelopment Analysis (DEA) is a mathematic technique to evaluate the relative efficiency of a group of homogeneous decision making units (DMUs) with multiple inputs and outputs. The efficiency of each unit is measured based on its distance to the production possibi چکیده کاملData Envelopment Analysis (DEA) is a mathematic technique to evaluate the relative efficiency of a group of homogeneous decision making units (DMUs) with multiple inputs and outputs. The efficiency of each unit is measured based on its distance to the production possibility set (PPS). In this paper, the BCC model is used in output-oriented. The average return on profit as output and the covariance of profit (risk) are considered as inputs. In the continuation, the median and the mod earned investment as two factors of output to the model presented to provide a better analysis of the types of investment, and finally, let us mention a true example پرونده مقاله -
دسترسی آزاد مقاله
21 - The overall efficiency and projection point in network DEA
Zeinab Aghababazadeh Shima AghababazadehData Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as چکیده کاملData Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and the last network outputs will be effected on network efficiency. After solving each DEA model, in order to improving the DMUs efficiency, introduce one efficient market to evaluated DMU is so important. Conventional DEA network models cant ensures that the market of each evaluated is efficient .In this paper, by considering DMUs that have two stages network process, in order to find projection frontier point some models have been proposed. These models after finding the best intermediate product corresponded to each network, found the overall network efficiency and introduce one projection point for each DMU. پرونده مقاله -
دسترسی آزاد مقاله
22 - Ranking Decision Making Units with Fuzzy Data Using Cross-efficiency with use of ranking function
Eskandar AbdolahiData covering analysis is a technique for evaluating the performance of homogeneous decision-making units. In evaluating the performance of units, it is necessary the efficiency and ranking of units be done (be calculated). Ranking decision-making units is based on effi چکیده کاملData covering analysis is a technique for evaluating the performance of homogeneous decision-making units. In evaluating the performance of units, it is necessary the efficiency and ranking of units be done (be calculated). Ranking decision-making units is based on efficiency. According to the existence of various efficacies in the applied examples, different techniques have been developed for ranking, that in this study, cross efficiency method has been used. This technique has been developed for fuzzy input and output modes. While data are fuzzy, cross efficiency table has been calculated inaccurately and table entries are fuzzy numbers, so the average (mean) of calculated efficiency in the table is also a fuzzy number. Since comparing the averages of obtained efficiencies ranks the decision-making units, it is necessary to propose a solution for this comparison. In this research, after providing the required grounds with assistance of models and doing the necessary changes in them, the averages of efficiency are compared by assistance of fuzzy ranking function. And with the knowledge that every decision-making unit that has better average (mean) is more efficient, decision-making units are ranked. پرونده مقاله -
دسترسی آزاد مقاله
23 - A two-stage study of grey system theory and DEA in strategic alliance: An application in Vietnamese Steel industry
Hoang-Phu Nguyen Nhu-Ty NguyenThroughout the years, Vietnam has experienced the higher economic growth. It leads more development in many various fields including steel industry. However, it necessary to have more strategic alliances among those steel companies for an incredible and sustainable grow چکیده کاملThroughout the years, Vietnam has experienced the higher economic growth. It leads more development in many various fields including steel industry. However, it necessary to have more strategic alliances among those steel companies for an incredible and sustainable growth. To have successful cooperation, it requires many special skills, efforts and considerations. This paper applies DEA model and Grey Theory to calculate the effectiveness and proposes a method to find out the most suitable strategic partners. Seventeen biggest companies in the Vietnam steel industry are chosen to research. The input factors (Net assets, operating cost, Cost of good sold) and the output factors (Net sales and net profits) are collected from realistic published financial reports of the Vietnam issued stock market in seven consecutive financial years (2011-2017). The Hoa Sen Group is considered as the target decision making unit (DMU). According to the empirical results, Pomina Steel corporation (DMU4) is the most feasible beneficial alliance partner for Hoa Sen Group. In addition, the proposed process in this paper is applied to not only the steel industry, but also to other manufacturing fields. پرونده مقاله -
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24 - Evaluating the Efficiency of Iranian Movie Theaters’ Halls
Hamidreza Izadi Salimeh AmiriThis research tries to investigate the economic performance of the public movie Theaters halls through quantitative data through estimation of efficiency. The results of calculating the technical efficiency of the halls showed that assuming of constant return to scale ( چکیده کاملThis research tries to investigate the economic performance of the public movie Theaters halls through quantitative data through estimation of efficiency. The results of calculating the technical efficiency of the halls showed that assuming of constant return to scale (CRS), a small percentage of cinemas are efficient and the rest are inefficient, and assuming a variable return to scale (VRS), a higher percentage of cinemas are efficient. Also, the average of technical efficiency of public movie theatre halls during this period was equal to 0.60. In addition, the results show that the most important reasons for the possible inefficiency of public cinemas on the supply side, the lack of use and screening of commercial and revenue-generating movies, and on the demand side, the lack of attention to the audience's taste. پرونده مقاله -
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25 - Military hospitals efficiency evaluation: Application of Malmquist Productivity Index-Data Envelopment Analysis
Rouhalah Moradi Maghsoud AmiriThe purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to as چکیده کاملThe purposed-the main purpose of this study is to look at the development of efficiency and productivity in the military hospital sector of Tehran province, by applying a nonparametric method. Design/methodology/approach- The study applied the nonparametric method to assess the efficiency of military hospitals service in Iran, Tehran, over the period 2013-2016. Utilizing non-parametric methodology, Data Envelopment Analysis (DEA) and Malmquist productivity index (MPI), individual hospital efficiency and productivity changes which took place within this period are estimated. Practical implications- the present study helps to understand the productivity and technological change and change in technical efficiency in this area, which is essential for policy making identifying improvement opportunities in resource allocation. The difference in productivity in this study is attributed to technological change rather than technical efficiency change. It was observed that military hospitals did not improve the efficiency with which they employed their inputs (i.e., staff and supplies) over the study period; moreover, the Malmquist Index Productivity increases and decreases interchangeably over the period. They did achieve gains and losses through the application of technologies. These results should be both informative and reassuring to military leaders and citizen alike. Originality/value- This paper provides a thorough study on the productivity growth of health care service in military hospitals in Iran using a non-parametric framework with Malmquist Productivity Index. Using panel data, this paper uses the Malmquist Productivity Index with Data Envelopment Analysis that provides new empirical evidence on the long-term trends in the efficiency of military hospitals in Iran. پرونده مقاله -
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26 - Efficiency evaluating and improvement by using the network SBM-DEA model with undesirable output: A case study of Iranian airlines
Fatemeh Shirazi Emran MohammadiMeasuring and improving the efficiency of organizations, as one of the most important parts of the organization's performance evaluation and a tool to control it, is a contemplative issue in order to survive and advance in the area of competition. Transportation is also چکیده کاملMeasuring and improving the efficiency of organizations, as one of the most important parts of the organization's performance evaluation and a tool to control it, is a contemplative issue in order to survive and advance in the area of competition. Transportation is also a key element in the growth and development of countries that creates an unbreakable link among the various sections of the economy. Therefore, evaluating and improving the efficiency of the transportation industry, especially air transportation, as a fast and expensive method, is of particular importance in today's world. The purpose of this article was to evaluate and improve the efficiency of Iranian airlines, that for this purpose, the Data Envelopment Analysis (DEA) Method, as the most popular method of evaluating efficiency, has been selected. In recent years, network envelopment data analysis models have been developed, taking into account various parts of the organization's activity in computing efficiency. Also, undesirable outputs have been considered as the reality of the outside world in these models. In this article, the Slack-Based Measure (SBM) model as one of the newest data envelopment analysis models has been considered that simultaneously sought to increase outputs and reduce inputs, in a network form and associated with undesirable output as the basis of efficiency computations. The efficiency of 14 Iranian airlines was evaluated using the mentioned model. پرونده مقاله -
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27 - Malmquist Productivity Index Based on Means of Weights for Ranking of Decision Making Units in Data Envelopment Analysis
Sorena Jafarigorzin Iraj Asadi TalookiThe Malmquist Index is the prominent Index for measuring the productivity change of Decision Making Units (DMUs) in multiple time periods that use Data Envelopment Analysis (DEA) models with Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technology. O چکیده کاملThe Malmquist Index is the prominent Index for measuring the productivity change of Decision Making Units (DMUs) in multiple time periods that use Data Envelopment Analysis (DEA) models with Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technology. One of the drawbacks of DEA is the problem of lack of discrimination among efficient DMUs and hence yielding many numbers of DMUs as efficient. The main purpose of this paper is to overcome this inability. In this paper, we compute the Malmquist Index based on means of weights evaluation, and by using this method we can rank DMUs by logical criteria. For illustration numerical example is given. پرونده مقاله -
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28 - Enterprise Resource Planning Selection based on a Preference Voting and Data Envelopment Analysis
Mohhamad Reza ShahriariToday, there are several reasons for the necessity of using an enterprise resource planning system (ERP) more than ever. In the competitive environment of companies, components such as flexibility, quality, management of the relationship with customers, and lower cost s چکیده کاملToday, there are several reasons for the necessity of using an enterprise resource planning system (ERP) more than ever. In the competitive environment of companies, components such as flexibility, quality, management of the relationship with customers, and lower cost show this necessity more colorfully. The necessity of integration in the processes of an organization and the need for ERP as one of the important and innovative decision-making and management tools increases the competitiveness of the organization. Since the application of ERP in the world has had many successes and failures, therefore, the efficient selection of one of the companies providing ERP can play a decisive role in the survival of organizations. In this article, considering standard KPIs, a method for selecting an ERP service provider based on Data Envelopment Analysis and Preference Voting is proposed. پرونده مقاله -
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29 - Comparison of ranking methods in Data envelopment analysis using Rough set theory
Leila KaramaliData envelopment analysis is an efficiency evaluation method for assessing DMUs. In this context, ranking efficient DMUs is very important. So far, various models have been provided for this purpose. According to the results of these methods, can be seen that the rank o چکیده کاملData envelopment analysis is an efficiency evaluation method for assessing DMUs. In this context, ranking efficient DMUs is very important. So far, various models have been provided for this purpose. According to the results of these methods, can be seen that the rank obtained for each DMU will vary. Due to this issue, we cannot provide a specific method to specify ranking to DM. In order to solve this problem, this paper employs the Rough Set theory to determine the compatibility or incompatibility of these methods together and thus provide the appropriate ranking among the existing methods. پرونده مقاله -
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30 - Generalization of the RDM model in Data Envelopment Analysis
Hamed Taherzadeh Ghasem Tohidi Bo HsiaoThe current study extends and provides a generalization of the range directional model (RDM). The proposed generalized RDM (GRDM) model utilizes an ideal point (IP) and anti-ideal point (AIP) simultaneously to evaluate the efficiency score. It is evident that approachin چکیده کاملThe current study extends and provides a generalization of the range directional model (RDM). The proposed generalized RDM (GRDM) model utilizes an ideal point (IP) and anti-ideal point (AIP) simultaneously to evaluate the efficiency score. It is evident that approaching to the IP, not necessarily, leads to moving away from the AIP. This obviously happens when the IP, AIP, and DMU lie on a common line; however, the depicted situation usually occurs hardly ever. On the other side, there are loads of situations in which a DMU requires not only to approach the IP but also to move away from the AIP, simultaneously. The GRDM model imposes two criteria (i.e., approaching to IP and moving away from AIP) to asses DMUs. Therefore, the efficiency score, when GRDM is used, is less than or equal to the efficiency score obtained by using the RDM model; consequently, the discrimination power of the GRDM model is better than that of the RDM model due to finding more inefficiency regarding both IP and AIP. The GRDM model is unit- and translation-invariant. A numerical example is applied to demonstrate the applicability of the proposed model in comparison with the RDM model. پرونده مقاله -
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31 - Presenting an efficiency analysis model of posts in social networks of digital marketing (Case Study: Facebook)
Mohhamad Reza ShahriariToday, there are several reasons for the necessity of using an enterprise resource planning system (ERP) more than ever. In the competitive environment of companies, components such as flexibility, quality, management of relationships with customers, and lower cost show چکیده کاملToday, there are several reasons for the necessity of using an enterprise resource planning system (ERP) more than ever. In the competitive environment of companies, components such as flexibility, quality, management of relationships with customers, and lower cost show this necessity more colorfully. The necessity of integration in the processes of an organization and the need for ERP as one of the important and innovative decision-making and management tools increases the competitiveness of the organization. Since the application of ERP in the world has had many successes and failures, therefore, the efficient selection of one of the companies providing ERP can play a decisive role in the survival of organizations. In this article, considering standard KPIs, a method for selecting an ERP service provider based on Data Envelopment Analysis and Preference Voting is proposed. پرونده مقاله -
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32 - Using Multi-Objective Linear Programming (MOLP) and Data Envelopment Analysis (DEA) models in Non-discretionary Performance Measurement
Sahar Khoshfetrat Mojtaba GhiyasiInverse DEA (InvDEA) models put one step forward, in contrast with the DEA models by estimating required input level for producing a perturbed output level with the current efficiency status. In many real world applications, decision-makers face non-discretionary factor چکیده کاملInverse DEA (InvDEA) models put one step forward, in contrast with the DEA models by estimating required input level for producing a perturbed output level with the current efficiency status. In many real world applications, decision-makers face non-discretionary factors which can be hardly controlled by the Decision Making Units (DMUs). However, these types of factor are not dealt in the inverse DEA problems. Thus, the current covers the research methodological gap of the literature by developing mathematical foundation of the InDEA models capable of dealing with non-discretionary factors. To do this end, an MOLP model along with its required constraints is developed to be linked with the developed models. A numerical example and a real-world case study are provided to illustrate the proposed models and demonstrate their applicability and validity for the real world problems. پرونده مقاله -
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33 - Evaluating Efficiency by Multiplier Method in Two-Stage Unit with Undesirable Outputs
Sepideh VataniData Envelopment Analysis (DEA) is a linear programming based method to measure performance a group of homogeneous decision making units (DMUs) units such as firms with multiple inputs and outputs. In two-stage unit all or part of the outputs of the first stage are assu چکیده کاملData Envelopment Analysis (DEA) is a linear programming based method to measure performance a group of homogeneous decision making units (DMUs) units such as firms with multiple inputs and outputs. In two-stage unit all or part of the outputs of the first stage are assumed to be the second stage's inputs and measuring performance of these DMUs is one of the important issues in DEA. There are two ways, multiplier or additive model, to calculate efficiency of DMU in DEA which in this paper, a new model is proposed by using multiplier method to evaluate efficiency of such unit then according to the presented model, the efficiency of a hose and plastic product manufacturer in 10 years is examined. پرونده مقاله -
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34 - Determining the Technical Efficiency of Hospitals affiliated with Kashan University of Medical Sciences using Data Envelopment Analysis: 2011-2016
Mohammad Ali Raayatpanah Monireh Sadeqi Jabali Razieh Farrahi Panos PardalosHospitals, as the biggest and costliest operative units of ministry of health and medical education, have always faced budget deficit. Hence, efficiency scores of hospitals is one of the important criteria that managers and policy makers can use for future planning to i چکیده کاملHospitals, as the biggest and costliest operative units of ministry of health and medical education, have always faced budget deficit. Hence, efficiency scores of hospitals is one of the important criteria that managers and policy makers can use for future planning to improve the performance of the hospitals. This paper presents data envelopment analysis (DEA) to assess relative efficiency of hospitals with multiple inputs and multiple outputs. We use cross-efficiency score for ranking the top hospitals and also Malmquist productivity index for estimating productivity growth. This study evaluates the efficiency of hospitals operated by Kashan University of Medical Sciences from 2011 to 2016, in which input parameters are the number of physicians, nurses and beds and output parameters are the number of discharged patients. GAMS software application was used for data analysis. Based on the results, the average technical efficiency of understudy hospitals was 0.71. On the other hand, inefficient hospitals faced input increase to achieve the same output. The average productivity index at hospitals during study years was 0.909, indicating that the productivity index reduced on average 10% during this time range. Hospitals affiliated with Kashan University of Medical Sciences were technically inefficient. Thus, at these hospitals, technical, pure technical and scale efficiency did not follow a fixed trend, changing continually. Moreover, hospitals did not use their resources optimally and encountered decrease in productivity. Therefore, it is recommended that hospitals’ functionality be compared with national and international standards. پرونده مقاله -
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35 - Gradual Improvement of Benchmarking in Data Envelopment Analysis Using Gradient Line Method
Hamid SharafiData envelopment analysis (DEA), firstly, checks whether decision making units (DMUs) are efficient or inefficient and then it introduces a benchmark for inefficient DMUs. This benchmark is of significant importance for managers and decision-makers. There are different چکیده کاملData envelopment analysis (DEA), firstly, checks whether decision making units (DMUs) are efficient or inefficient and then it introduces a benchmark for inefficient DMUs. This benchmark is of significant importance for managers and decision-makers. There are different methods for benchmarking one of which is the gradient line method. This method has a major problem which is that the benchmark introduced by this method is not always Pareto efficient. Having given an example, this problem is commented on in this article. On the other hand, the application of gradient line is effective on gradual improvement of efficiency because the introduced equation is in such a way that for reducing a certain amount of inputs, the largest expansion is given to outputs. Finally, we demonstrated that by using gradient line in gradual improvement method, there is no need any more to ask the managers for improvement bounds of inputs and outputs in any level and it is enough for the manager to state the highest efficiency improvement amount he expects in each step. پرونده مقاله -
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36 - Bargaining game model for measuring the performance of two-stage network structures
Shadi GivehchiData envelopment analysis (DEA) mainly utilizes envelopment technology to replace production functions in microeconomics. Based on this replacement, DEA is a widely used mathematical programming approach for evaluating the relative efficiency of decision-making units (D چکیده کاملData envelopment analysis (DEA) mainly utilizes envelopment technology to replace production functions in microeconomics. Based on this replacement, DEA is a widely used mathematical programming approach for evaluating the relative efficiency of decision-making units (DMUs) in organizations. Evaluating the efficiency of DMUs with two-stage network structures is important in management and control. The resulting two stage DEA model not only provides an overall efficiency score for the entire process, but also yields an efficiency score for each of the individual stages. In this Paper we develop Nash bargaining game model to measure the performance of DMUs that have a two-stage structure. Under Nash bargaining theory, the two stages are viewed as players. It is shown that when only one intermediate measure exists between the two stages, our newly developed Nash bargaining game approach yields the same results as applying the standard DEA approach to each stage separately. With a new breakdown point, the new model is obtained which by providing example, the results of these models are investigated. Among these results can be pointed to the changing efficiency by changing the breakdown point. پرونده مقاله -
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37 - Robust optimization for identifying the most efficient decision making unit in data envelopment analysis
Reza Akhlaghi Mohsen Rostamy-Malkhalifeh Alireza Amirteimoori Sohrab KordrostamiDue to the nonlinear and discrete nature of BCC (Banker, Charnes, and Cooper, [11]) models for determining the most efficient decision-making unit, it is practically impossible to evaluate the models' dual and, consequently, optimistic case. Thus, in this paper, the lin چکیده کاملDue to the nonlinear and discrete nature of BCC (Banker, Charnes, and Cooper, [11]) models for determining the most efficient decision-making unit, it is practically impossible to evaluate the models' dual and, consequently, optimistic case. Thus, in this paper, the linear model with linear constraints proposed by Akhlaghi et al. [2] is used to investigate the dual equality of the model's robust problem and the optimistic case of the new model's dual under VRS uncertainty. The model proposed in this paper is novel in comparison to previous models because it solves the most efficient decision-making unit only once, without relying on uncertain data to determine its rank. The paper demonstrates how the proposed robust model can also ascertain the most efficient decision-making unit when uncertainty exists. Furthermore, the dual issues raised by robust counterparts in the new linear programming (LP) model are addressed to identify the most efficient decision-making unit. The robust counterpart is demonstrated to be equivalent to a linear program under interval uncertainty, and the dual of the robust counterpart is shown to be equal to the optimistic counterpart of the dual problem. Consequently, this study aims to demonstrate that the dual problem is equivalent to a decision-maker operating under optimal data, whereas the primal robust problem is equivalent to a decision-maker operating through the worst-case possible data scenario. پرونده مقاله -
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38 - A Non-radial rough DEA model
G. Tohidi P. ValizadehFor efficiency evaluation of some of the Decision Making Units that have uncertain information, Rough Data Envelopment Analysis technique is used, which is derived from rough set theorem and Data Envelopment Analysis (DEA). In some situations rough data alter nonradiall چکیده کاملFor efficiency evaluation of some of the Decision Making Units that have uncertain information, Rough Data Envelopment Analysis technique is used, which is derived from rough set theorem and Data Envelopment Analysis (DEA). In some situations rough data alter nonradially. To this end, this paper proposes additive roughDEA model and illustrates the proposed model by a numerical example. پرونده مقاله -
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39 - Performance evaluation of SCM using DEA: A review
M. Sanei S. Mamizadeh-ChatghayehOver the years we have witnessed the growing importance of supply chain operations and supply chain management (SCM), as supply chains play a major role in every step of the product life cycle. Therefore, this paper will DEA-based performance evaluation approaches for چکیده کاملOver the years we have witnessed the growing importance of supply chain operations and supply chain management (SCM), as supply chains play a major role in every step of the product life cycle. Therefore, this paper will DEA-based performance evaluation approaches for overall supply chain can be categorized. Future perspectives and challenges are discussed پرونده مقاله -
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40 - Assessment of Industrial Cluster with Value-Chain DEA model
I. Mansouri S. Mamizadeh-Chatghayeh V. Abbasi P. Barahimi A. R. TahmouresiEvery country actively and initiatively takes all kinds of policy steps to improve the international competitiveness of its industries and therefore improve national integrated competitiveness for the purpose of gaining economic benefits under the context of economic چکیده کاملEvery country actively and initiatively takes all kinds of policy steps to improve the international competitiveness of its industries and therefore improve national integrated competitiveness for the purpose of gaining economic benefits under the context of economic globalization. Therefore, studies of moreover, projects launched by the cluster had to be endorsed by the growers and one criterion in the selection of projects was that the project would demonstrate to the growers the value of collaboration. Therefore, we develop a comprehensive performance measurement framework using the classical and two-stage Value Chain Data Envelopment Analysis models پرونده مقاله -
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41 - Evaluating the performance of cement producing companies of Tehran Stock market using Data Envelopment Analysis models
Mohammad Reza ShahriariNowadays, performance measurement is carried out through two types of methods: parameterized and non-parameterized. This research focuses on non-parametric methods, specifically those that utilize mathematical programming, to assess the performance of cement companies i چکیده کاملNowadays, performance measurement is carried out through two types of methods: parameterized and non-parameterized. This research focuses on non-parametric methods, specifically those that utilize mathematical programming, to assess the performance of cement companies in the Tehran Stock Exchange (TSE) market. The coverage analysis method used in this study provides an advantage over existing methods in that it can evaluate the performance of units with multiple inputs and outputs that are not interchangeable (UMIMO). The evaluation of performance was carried out using two assumptions: "Performance against constant scale" and "performance against variable scale", based on the inputs and outputs of cement companies in the TSE. The study examined 22 cement producing companies, finding 7 efficient units according to the CCR method and 11 efficient units according to the BCC method. پرونده مقاله -
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42 - Allocation efficiency in network DEA
S. Banihashemi G. TohidiThe present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. The previous models of Data Envelopment Analysis (DEA) have been too general in their scope and focused on the input and the output within a black box چکیده کاملThe present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. The previous models of Data Envelopment Analysis (DEA) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. By using these models internal linking activities are neglected. A slacks-based network DEA model is dealt with intermediate products (Tone,Tsutsui). In this development, each input and output can use situations where unit price and unit cost information are available. In this paper we introduce models of cost, revenue and profit efficiency in network DEA. These models are illustrated by numerical examples and finally results of Constant Returns to Scale (CRS) are obtained. The findings could be used in minimizing the costs and maximizing the benefits in various organizations, public services, factories, and public and private sector companies. پرونده مقاله -
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43 - Estimating right and left returns to scales in data envelopment analysis: A new approach
M. Khoveyni R. Eslami -
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44 - A two phases approach for discriminating efficient candidate by using DEA inspired procedure
M. ZanganeThere are several methods to ranking DMUs in Data Envelopment Analysis (DEA) and candidates in voting system. This paper proposes a new two phases method based on DEA’s concepts. The first phase presents an aspiration rank for each candidate and second phase propo چکیده کاملThere are several methods to ranking DMUs in Data Envelopment Analysis (DEA) and candidates in voting system. This paper proposes a new two phases method based on DEA’s concepts. The first phase presents an aspiration rank for each candidate and second phase propose final ranking. پرونده مقاله -
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45 - Estimating Returns to Scale in the Presence of Undesirable Factors in Data Envelopment Analysis
R. Eslami A. Davodabadi FarahaniThis research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output or چکیده کاملThis research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output oriented model to determine efficient DMUs in the presence of undesirable factors and then, returns to scale of these DMUs are estimated by presenting a new non-radial DEA model. So far several RTS approaches has been proposed in DEA literature by many researchers, such as Banker and Thrall’s, Golany and Yu’s, Khodabakhshi’s et al., and Eslami and Khoveyni’s RTS approaches. In the proposed approaches, all inputs and outputs are respectively considered as desirable inputs and outputs while in real world, both desirable and undesirable data may be present. Note that advantage of our proposed approach is capable of estimating RTS of efficient DMUs in the presence of desirable and undesirable data. It is noticeable that, since an inefficient decision making unit (DMU) has more than one projection on the empirical function thus different returns to scales can be obtained for projections of the inefficient DMU by using our proposed RTS approach. Lastly, an empirical example for illustrating purpose is presented and also directions for future research are suggested. پرونده مقاله -
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46 - Presenting a Hybrid Approach based on Two-stage Data Envelopment Analysis to Evaluating Organization Productivity
E. Najafi M. Fallah S. HamedMeasuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Lord Kelvin said :“When you can measure what you are speaking about, and express it in numbers, you know something about it; but when چکیده کاملMeasuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Lord Kelvin said :“When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind.” Hence, management knowledge is measurable science and if we can’t measure each subject we can’t control it so management is impossible. We know, the major criteria performance is productivity and we should be able to measure it. Data Envelopment Analysis (DEA), as an evaluation method, can estimate the relative efficiency of organizations systematically. The efficiency of an organization can be benchmarked by using DEA. DEA presents a model for evaluating the performance of a set of comparable decision making units (DMUs). In this paper we developed a new model for calculating productivity with Two-stage data envelopment analysis. پرونده مقاله -
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47 - Prioritizing Potential Risks based on Failure Mode and Effects Analysis Using Data Envelopment Analysis: a case study
B. Nasr Esfahani H. Shirouyehzad F. Mokhatab RafieiThe need to establish power plants to supply the required electricity of the country has been rising dueto increasing demand levels as well as the lack of governmental resources. Furthermore, the availabletraditional attitude in performing and conducting power plant pro چکیده کاملThe need to establish power plants to supply the required electricity of the country has been rising dueto increasing demand levels as well as the lack of governmental resources. Furthermore, the availabletraditional attitude in performing and conducting power plant projects has made government seek amodern attitude. This paper tries to use the topics that have been employed in automotive industry of thecompany for many years to detect and analyse failure reasons as well as the solutions that are suggestedto prevent and improve them. The present study has used Failure Mode & Effects Analysis along withData Envelopment Analysis to evaluate 17 failure modes of South Esfahan Power Plant. Severity,Occurrence and Detection are 3 failure factors considered in this study. Failure mode dealing with Scalingon rotor and diaphragms blades has the highest importance with the highest Risk Priority Number,Severity and its first grade. پرونده مقاله -
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48 - Detect and Eliminate Congestion of the Intermediate Products in Supply Chain
E. Mollaeian M. Rostamy-MalkhalifehData envelopment analysis (DEA) is a nonparametric technique that includes models to evaluate the relative efficiency of Decision Making Units (DMUs). It has the ability to separate efficient units and inefficient units. One of the applications of this mathematical tech چکیده کاملData envelopment analysis (DEA) is a nonparametric technique that includes models to evaluate the relative efficiency of Decision Making Units (DMUs). It has the ability to separate efficient units and inefficient units. One of the applications of this mathematical technique is evaluating performance of supply chain. According to such as the inefficiency factors of one DMU, is existence congestion in its inputs and with regard to the economic concept of congestion that is widely visible in the most phenomenon, therefore, cannot ignore its presence in supply chain. In this paper, at first a network DEA model is noted to evaluate the performance of supply chain. Then according to the important role of intermediate products in supply chain, the existence of congestion in this product is investigated, finally, an Inverse DEA model is introduced in order to overcome the problems caused by congestion. So that the amount required input for providing the desired intermediate product can be estimated by that. In this case, no congestion will occur in intermediate products. Finally for improving the efficiency of this unit with new intermediate products an inverse DEA model is proposed. پرونده مقاله -
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49 - Portfolio Performance Evaluation in a Modified Mean-Variance-Skewness Framework with Negative Data
Sh. Banihashemi M. Sanei M. AziziThe present study is an attempt toward evaluating the performance of portfolios using mean-variance-skewness model with negative data. Mean-variance non-linear framework and mean-variance-skewness non- linear framework had been proposed based on Data Envelopment Analysi چکیده کاملThe present study is an attempt toward evaluating the performance of portfolios using mean-variance-skewness model with negative data. Mean-variance non-linear framework and mean-variance-skewness non- linear framework had been proposed based on Data Envelopment Analysis, which the variance of the assets had been used as an input to the DEA and expected return and skewness were the output. Conventional DEA models assume non-negative values for inputs and outputs. However, we know that unlike return and skewness, variance is the only variable in the model that takes non-negative values. This paper focuses on the evaluation process of the portfolios in a mean-variance-skewness model with negative data. The problem consists of choosing an optimal set of assets in order to minimize the risk and maximize return and positive skewness. This method is illustrated by application in Iranian stock companies and extremely efficiencies are obtained via mean-variance-skewness non-linear framework with negative data for making the best portfolio. The finding could be used for constructing the best portfolio in stock companies, in various finance organization and public and private sector companies. پرونده مقاله -
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50 - A Neural Network Model to Solve DEA Problems
S. Dolatabadi H. Rezai ZhianiThe paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural چکیده کاملThe paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets. پرونده مقاله -
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51 - Deriving Common Set of Weights in the Presence of the Undesirable Inputs: A DEA based Approach
M .Eyni M .MaghbouliData Envelopment Analysis (DEA) as a non-parametric method for efficiency measurement allows decision making units (DMUs) to select the most advantageous weight factors in order to maximize their efficiency scores. In most practical applications of DEA presented in the چکیده کاملData Envelopment Analysis (DEA) as a non-parametric method for efficiency measurement allows decision making units (DMUs) to select the most advantageous weight factors in order to maximize their efficiency scores. In most practical applications of DEA presented in the literature, the presented models assume that all inputs are fully desirable. However, in many real situations undesirable inputs are part of the production process. In order to deal with undesirable inputs, this paper changes the undesirable inputs to be desirable ones by reversing, then a compromise solution approach is proposed to generate a common set of weights under DEA framework. The DEA efficiencies obtained with the most favorable weights to each DMU are treated as the target efficiencies of DMUs. Based on the generalized measure of distance, three types of DEA-based efficiency score programming can be derived. The proposed approach is then applied to real-world data set that characterize the performance of seven types of chemical activities. پرونده مقاله -
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52 - Presenting a New Model for Bank’s Supply Chain Performance Evaluating with DEA Solution Approach
R .ShahverdiData Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first چکیده کاملData Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to outputs of DMU and as a result the effect of these measures in the process of performance evaluation is not considered. Recently, some models are created in DEA which can evaluate the system in multi stages and consider the relations between the systems. The objective of this paper is to investigate efficiency decomposition in a three-stage process that has a two independent parallel stages linking with a one final stage. This three stage processes calculate the efficiency of organization with considering intermediate constraints. Finally, we illustrate the proposed method with numerical example پرونده مقاله -
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53 - Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds
Hamid Sharafi Mohsen Rostamy-Malkhalifeh Alireza Salehi Mohammad IzadikhahOn account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMU چکیده کاملOn account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking interval data with stochastic bounds. The approach is exemplified by numerical examples. پرونده مقاله -
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54 - Cross Efficiency Evaluation with Negative Data in Selecting the Best of Portfolio Using OWA Operator Weights
Sh. Banihashemi M. SaneiThe present study is an attempt toward evaluating the performance of portfolios and asset selectionusing cross-efficiency evaluation. Cross-efficiency evaluation is an effective way of ranking decisionmaking units (DMUs) in data envelopment analysis (DEA). Conventional چکیده کاملThe present study is an attempt toward evaluating the performance of portfolios and asset selectionusing cross-efficiency evaluation. Cross-efficiency evaluation is an effective way of ranking decisionmaking units (DMUs) in data envelopment analysis (DEA). Conventional DEA models assume nonnegativevalues for inputs and outputs. However, we know that unlike return and skewness, varianceis the only variable in the model that takes non-negative values. This paper focuses on the evaluationprocess of the efficiencies in the cross-efficiency matrix with negative data and proposes the use ofordered weighted averaging (OWA) operator weights for cross-efficiency evaluation. The problemconsists of choosing an optimal set of assets in order to minimize the risk and maximize return. Thismethod is illustrated by application in Iranian stock companies and extremely weights are obtainedvia OWA operator in cross efficiency for making the best portfolio. The finding could be used forconstructing the best portfolio in stock companies, in various finance organization and public andprivate sector companies. پرونده مقاله -
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55 - A Study on the Financial Performance of Companies Using Data Envelopment Analysis Model and Zemijsky's Model and a Comparison of their Results
Akbar rahimipoor masomeh tadress hasaniRecent bankruptcy of big companies all over the world and fluctuations in Iran's stock market require that some methods be developed for the evaluation of companies' financial potential. Different models are used for the prediction of bankruptcy and the evaluation of or چکیده کاملRecent bankruptcy of big companies all over the world and fluctuations in Iran's stock market require that some methods be developed for the evaluation of companies' financial potential. Different models are used for the prediction of bankruptcy and the evaluation of organizational financial situation. Environmental changes and increasing competition among agencies led to companies' and organizations' limited access to expected profit. Thus, financial decision making is, nowadays, more and more important, forcing managers to apply modern control methods through sophisticated techniques. The present study aims to evaluate the performance of companies' situation. For this purpose, we use the two models of data envelopment analysis and Zemijsky and compare results derived from them. The research data were gathered from 10 accepted in stock market. Results from data envelopment analysis model indicated that only one company was in a proper financial situation while results from Zemijsky's model showed that there were two companies in good financial condition. We also managed to develop strategies for the improvement of financial situation in other companies using data envelopment analysis model. پرونده مقاله -
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56 - Utilizing Computer Simulation and DEAGP to Enhance Productivity in a Manufacturing System
B. Vaisi A. EbrahimiGenerally, a typical problem which is crucial in a manufacturing system is increasing the production rate. To cope with the problem, different types of techniques are used in companies by trial and error which imposes high costs on them. Using simulation as a tool for a چکیده کاملGenerally, a typical problem which is crucial in a manufacturing system is increasing the production rate. To cope with the problem, different types of techniques are used in companies by trial and error which imposes high costs on them. Using simulation as a tool for assessing the effect of alterations on the performance of the overall system might be significant. This paper considers a simulation based data envelopment analysis goal programming (DEAGP) applied into a well-known automobile spare part manufacturer in Kurdistan to improve production rate. The objective is to develop a simulation model based on real system to identify the imbalances and improve the performance of production system. For this purpose, in 2013 data are collected from existing system and applying full factorial design of experiments technique, different scenarios have been considered then to find the best one we used data envelopment analysis goal programming technique as a method for measuring the relative efficiency of similar units. The results show that, the optimum scenarios are 5 and 8. Applying this method could conduct us to gain more than 1% improvement in production rate using the existing resources. پرونده مقاله -
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57 - Data Envelopment Analysis with LINGO Modeling for Technical Educational Group of an Organization
Mohd RizwanullahData Envelopment Analysis (DEA) was developed to help compare the relative performance of decision-making units. It is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and i چکیده کاملData Envelopment Analysis (DEA) was developed to help compare the relative performance of decision-making units. It is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics [3]. DEA generates an efficiency score between 0 and 1 for each unit, indicating how effectively they are managing their resources. A compelling feature of DEA is it develops a unique rating system for each unit designed to make them look their best. This should facilitate acceptance of DEA within an organization [2]. LINGO is a comprehensive tool designed to make building and solving mathematical optimization models easier and more efficient. In this paper, we have explained what DEA does? How DEA evaluates efficiency, how DEA identifies paths to improve efficiency using this LINGO software, and how to use DEA. We have considered a group of 3 technical colleges (campuses). We assume that each campus “converts” 2 inputs into 3 outputs. This will enable managers to explore and assess the value of using DEA in their service operations. This paper also shows that Lingo Model can offer more information than the standard LP approach with exclusion of Simulation modeling approach [4]. The advantages of this approach are modesty, flexibility and visualization. The results by comparison of educational campuses were helpful for organization management. پرونده مقاله -
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58 - Calculating Cost Efficiency with Integer Data in the Absence of Convexity
Arezoo Khoshgova Mohsen Rostamy-MalkhalifehOne of the new topics in DEA is the data with integer values. In DEA classic models, it is assumed that input and output variables have real values. However, in many cases, some inputs or outputs can have integer values. Measuring cost efficiency is another method to ev چکیده کاملOne of the new topics in DEA is the data with integer values. In DEA classic models, it is assumed that input and output variables have real values. However, in many cases, some inputs or outputs can have integer values. Measuring cost efficiency is another method to evaluate the performance and assess the capabilities of a single decision-making unit for manufacturing current products at a minimum cost with its input prices. In this paper, we proposed a model which is capable of calculating the cost efficiency in the absence of convexity when some of the input parameters have integer values, and then we implemented the mentioned model with a numerical example and discussed the results. پرونده مقاله -
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59 - Evaluation and Complete Ranking of Islamic Azad University Unit Golestan Province with DEA Approach and a New Way of OEP / AHP+
Sima Madadi Masoume Yazdanpanah Maryaki Mohammad Reza Moazami GoudarziData envelopment analysis provides a theoretical framework for analyzing performance and measuring efficiency. Using data envelopment analysis, we can evaluate units and organizations and discuss about their efficiency or inefficiency. In performance assessment of organ چکیده کاملData envelopment analysis provides a theoretical framework for analyzing performance and measuring efficiency. Using data envelopment analysis, we can evaluate units and organizations and discuss about their efficiency or inefficiency. In performance assessment of organizations, the most important goal is to rank the units according to their efficiency. Since ranking decision making units in data envelopment analysis may lead us to several efficient units, choosing the best efficient unit is very important. This study evaluates the research efficiency of Islamic Azad University of Golestan province applying DEA, and a new method OEP / AHP and finally offers a full ranking with respect to the exit. پرونده مقاله -
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60 - Cross-Efficiency Evaluation Based on an Interval Method
M Khodadadi Ghasem TohidiIn data envelopment analysis (DEA), several secondary goals have already been proposed in order to overcome the problem of the DEA alternative optimal weights in the cross-efficiency evaluation. However, in the presence of different secondary goals, the rank assigned to چکیده کاملIn data envelopment analysis (DEA), several secondary goals have already been proposed in order to overcome the problem of the DEA alternative optimal weights in the cross-efficiency evaluation. However, in the presence of different secondary goals, the rank assigned to some of decision making units (DMUs) may be non-unique. To overcome the shortcomings, this paper considers the elements of cross-efficiency matrix as interval numbers based on maximum and minimum cross-efficiency that each of the DMUs can achieve. Then, the study using a formula reorders the aggregated interval numbers in each row of the cross-efficiency matrix, and obtains the rank of each of DMUs. The new method removes the problem of the DEA alternative optimal weights in the cross-efficiency evaluation. Moreover, it provides a distinct and unique rank to each of the DMUs. Ultimately, the usefulness of the proposed method in comparison with the previous methods is demonstrated by using a numerical example. پرونده مقاله -
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61 - Combined Data Envelopment Analysis and Analytical Hierarchy Process Methods to obtain the Favorable Weights from Pairwise Comparison Matrix
Mehdi Fallah JelodarFinding the favorable weights from pairwise comparison matrices is very important to rank the alternatives in Multi Attribute Decision Making (MADM) concept. Using Linear Programming has considered to develop this field during recent researches. Combined Analytic Hierar چکیده کاملFinding the favorable weights from pairwise comparison matrices is very important to rank the alternatives in Multi Attribute Decision Making (MADM) concept. Using Linear Programming has considered to develop this field during recent researches. Combined Analytic Hierarchy Process and Data Envelopment Analysis considered by some researches to find the weights. Decreasing the numerical procedures is vital because of using linear programming in proposed models. In this paper we are going to present some models to generate the favorable weights from a pairwise comparison matrix combing Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) models. First we address a history and applications of AHP and then some notes on DEA models. Finally three DEA models are proposed to find the weights. In this way we tried to decrease the computational process by decreasing the number of constraints and variables of proposed models. Some numerical examples are putted forward to illustrate our approaches. پرونده مقاله -
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62 - The Overall Efficiency in the Presence of Imprecise Adaptable Measures
Sohrab Kordrostami Monireh Jahani Sayyad NoveiriTraditional data envelopment analysis (DEA) models usually evaluate the efficiency scores of decision making units (DMUs) with precise data from an optimistic point of view where the status of each measure (i.e. input/output) is certain. However, there are occasions in چکیده کاملTraditional data envelopment analysis (DEA) models usually evaluate the efficiency scores of decision making units (DMUs) with precise data from an optimistic point of view where the status of each measure (i.e. input/output) is certain. However, there are occasions in real world applications that measures can play both input and output roles in an imprecise environment. In the current study, measures with two roles, input and output, are called “adaptable measures”. This paper proposes a DEA-based approach for estimating the performance of DMUs where adaptable and fuzzy data exist. Indeed, efficiency scores are calculated from two aspects, optimistic and pessimistic, when there are adaptable and fuzzy data. Two different efficiency scores are integrated into a geometric average efficiency. Thus, the overall efficiency is calculated and adaptable variables are split into input and output variables in evaluating the efficiency of each DMU. A numerical example is used to illustrate the approach. پرونده مقاله -
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63 - بررسی عمکرد کارایی پرتفویی بر اساس رویکرد تلفیقی(اقتصادی-حسابداری) بر اساس روش تحلیل پوششی
فاطمه دادبه مریم خلیلی عراقیارزیابی عملکرد انتخاب پرتفویی مطلوب و بهینه به عنوان مساله ای مهم برای سرمایه‌گذاران حقیقی و حقوقی شامل ایجاد سبد سهامی برای حداکثرسازی مطلوبیت سرمایه‌گذار می شود. تعیین رویکردی مناسب برای ارزیابی عملکرد کارایی پرتفویی سهام یکی از مهم ترین مباحث امروزین در دانش مدیریت س چکیده کاملارزیابی عملکرد انتخاب پرتفویی مطلوب و بهینه به عنوان مساله ای مهم برای سرمایه‌گذاران حقیقی و حقوقی شامل ایجاد سبد سهامی برای حداکثرسازی مطلوبیت سرمایه‌گذار می شود. تعیین رویکردی مناسب برای ارزیابی عملکرد کارایی پرتفویی سهام یکی از مهم ترین مباحث امروزین در دانش مدیریت سرمایه‌گذاری است. روش ارزیابی چنین سبد سهامی همواره ذهن محققان و تحلیل‌گران مالی را به خود معطوف ساخته است. بطوری در انتخاب معیارهای ارزیابی نمی توان یک پروژه‌ی سرمایه‌گذاری را تنها بر اساس بازدهی بالا آن انتخاب کرد. مدل‌هایی برای ارزیابی عملکرد پرتفوی با توجه توأمان به ریسک و بازده ارائه شده مبتنی بر رویکرد بنیادین عناصر مالی نیستند. لذا در این تحقیق بررسی عمکرد کارایی پرتفویی بر اساس رویکرد تلفیقی(اقتصادی-حسابداری) بر اساس روش تحلیل پوششی که جز مدل سازی چند هدفه پرداخته شده است استفاده شده است. از نتایج به دست آمده استنتاج میشود، رویکرد حسابداری نسبت به رویکرد اقتصادی و رویکرد ترکیبی کاراتر می‌باشد. پرونده مقاله -
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64 - ارزیابی رابطه عمر و مجموع داراییهای صندوق های سرمایه گذاری مشترک با کارایی آنها با استفاده از روش تحلیل پوششی داده ها
علیرضا بادکوبه هزاوه علی اسماعیل زاده مقریصندوق های سرمایه گذاری مشترک، نهادهای مالی تخصصی هستند که با وجوه سرمایه گذاران در سبد متنوعی از اوراق بهادار سرمایه گذاری کرده و سرمایه گذاران را از مزیت مدیریت حرفه ای و نیز کاهش ریسک غیر سیستماتیک بهره مند می سازند. در این میان سرمایه گذاران نیازمند ابزارهایی جهت ارز چکیده کاملصندوق های سرمایه گذاری مشترک، نهادهای مالی تخصصی هستند که با وجوه سرمایه گذاران در سبد متنوعی از اوراق بهادار سرمایه گذاری کرده و سرمایه گذاران را از مزیت مدیریت حرفه ای و نیز کاهش ریسک غیر سیستماتیک بهره مند می سازند. در این میان سرمایه گذاران نیازمند ابزارهایی جهت ارزیابی عملکرد صندوق های سرمایه گذاری مشترک می باشند. از جمله این ابزارها می توان به روش تحلیل پوششی داده ها که از جمله روش های تصمیم گیری چند معیاره است، اشاره نمود. با استفاده از این روش، می توان شرکت های کارا و ناکارا را مشخص کرد. دوره زمانی تحقیق از ابتدای سال 1397 تا پایان فصل بهار سال 1399 می باشد و جامعه آماری آن را کلیه صندوق های سرمایه گذاری مشترک در سهام تشکیل می دهد. همچنین نمونه آماری تحقیق شامل 35 صندوق سرمایه گذاری می باشد. نتایج نشان می دهد که نسبت کارایی بدست آمده از روش تحلیل پوششی داده ها ارتباط معنی داری با بازدهی واقعی صندوق ها دارد، لذا روش تحلیل پوششی داده ها روش مناسبی جهت ارزیابی کارایی صندوق های سرمایه گذاری مشترک می باشد. همچنین یافته ها گویای آن است که با افزایش مجموع دارایی های صندوق های سرمایه گذاری مشترک بر کارایی آن ها افزوده می شود اما سن صندوق های سرمایه گذاری مشترک بر کارایی آن ها تاثیر ندارد. پرونده مقاله -
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65 - Inverse DEA Using Enhanced Russell Measure in the Presence of Fuzzy Data
S. GhobadiThe present study deals with the inverse DEA using the non-radial Enhanced Russell (ER)-measure in the presence of fuzzy data. This paper proposes a technique to treat the fuzzy data in the problem of simultaneous estimation of input-output levels. Necessary and suffici چکیده کاملThe present study deals with the inverse DEA using the non-radial Enhanced Russell (ER)-measure in the presence of fuzzy data. This paper proposes a technique to treat the fuzzy data in the problem of simultaneous estimation of input-output levels. Necessary and sufficient conditions are provided for ER-measure maintaining in the presence of fuzzy data. A numerical example with real data is presented to show the accuracy of the proposed method. پرونده مقاله -
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66 - Weak Disposability in Integer-Valued Data Envelopment Analysis
A. R. Amirteimoori M. MaghbouliConventional data envelopment analysis (DEA) models normally assume all inputs and outputs are real valued and continuous. However in problems some inputs and outputs can only take integer values, also, both desirable and undesirable outputs can be generated . In this p چکیده کاملConventional data envelopment analysis (DEA) models normally assume all inputs and outputs are real valued and continuous. However in problems some inputs and outputs can only take integer values, also, both desirable and undesirable outputs can be generated . In this paper the effect of undesirable outputs in integer DEA model is discussed. The proposed model distinguishes weak disposability of outputs imposing non-uniform abatement factor. پرونده مقاله -
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67 - Estimating Upper and Lower Bounds For Industry Efficiency With Unknown Technology
R. Kazemi Matin R. Azizi N. Pasban M. MirjaberiWith a brief review of the studies on the industry in Data Envelopment Analysis (DEA) framework, the present paper proposes inner and outer technologies when only some basic information is available about the technology. Furthermore, applying Linear Programming techniqu چکیده کاملWith a brief review of the studies on the industry in Data Envelopment Analysis (DEA) framework, the present paper proposes inner and outer technologies when only some basic information is available about the technology. Furthermore, applying Linear Programming techniques, it also determines lower and upper bounds for directional distance function (DDF) measure, overall and allocative efficiency in industry level. Finally, the results are illustrated using a Cobb-Douglas function. پرونده مقاله -
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68 - A Method for Calculating the Marginal Rate in the FDH Model
M. Mirzaei S. Kordrostami AR. Amirteimoori M. G. CheginiTrade-off reviews the rate of marginal substitution of inputs and outputs onto the efficient frontier. On the other hand, marginal rates of substitution (MRS) are important quantities for analysts and managers. In this paper, by changing the method of Asmild (2004), an چکیده کاملTrade-off reviews the rate of marginal substitution of inputs and outputs onto the efficient frontier. On the other hand, marginal rates of substitution (MRS) are important quantities for analysts and managers. In this paper, by changing the method of Asmild (2004), an algorithm is found that it can be used to calculate the marginal rate of the free disposal hull (FDH) model. پرونده مقاله -
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69 - Applying MCDEA Models to Rank Decision Making Units with Stochastic Data
A. Ghofran M. Sanei G. Tohidi H. BevraniAs a technique based on mathematical programming, Data Envelopment Analysis (DEA) is used for evaluating the efficiency of homogeneous Decision Making Units (DMUs). DEA models need accurate input and output data. In many situations, on the one hand, accurate measurement چکیده کاملAs a technique based on mathematical programming, Data Envelopment Analysis (DEA) is used for evaluating the efficiency of homogeneous Decision Making Units (DMUs). DEA models need accurate input and output data. In many situations, on the one hand, accurate measurement of inputs and outputs is difficult due to their volatility and complexity. This conflict results in uncertain DEA models. Its main problem is transformation of deterministic equivalent of stochastic model into quadratic programming, time-consuming and complexity and it requires presuppositions. By means of Bi-objective multiple criteria DEA (Bio-MCDEA) model that considers stochastic data, our proposed model reduces some of these problems and facilitates problem solving through presenting primary presupposition and final linear model. The efficiency score of DMUs is determined by applying stochastic Bio- MCDEA model. Eventually, we used the data of seventeen Iranian electricity distribution companies to illustrate the methods developed in the present paper. پرونده مقاله -
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70 - Ranking of Efficiency in Context-dependent Data Envelopment Analysis with Non-discretionary Data
M. Khanmohammadi M. KazemimaneshIn this paper, we use the context-dependent method for ranking decision making units (DMUs) with non-discretionary data in data envelopment analysis (DEA). This methodology partitions a set DMUs into the several levels of efficient frontier, then obtains the efficiency چکیده کاملIn this paper, we use the context-dependent method for ranking decision making units (DMUs) with non-discretionary data in data envelopment analysis (DEA). This methodology partitions a set DMUs into the several levels of efficient frontier, then obtains the efficiency of each DMU against of every calculate efficient frontier. We calculate a ranking score for each DMU by this efficiency indexes. Therefore we can rank DMUs by this score. پرونده مقاله -
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71 - Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
M. Shafiee F. Hosseinzade Lotfi H. SalehAlthough DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, چکیده کاملAlthough DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to forecast the efficiency. پرونده مقاله -
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72 - Developing an Efficiency Based Target Setting Model for K-Stage Serial tructures
M. Homayounfar AR. Amirteimoori M. Goudarzvand- CheginiDEA as an effective approach to evaluate the relative efficiency of DMUs, recently applied in many production and operation systems. This paper proposed a new k-stage DEA based MOLP model for target setting in the serial network structures, considering undesirable outpu چکیده کاملDEA as an effective approach to evaluate the relative efficiency of DMUs, recently applied in many production and operation systems. This paper proposed a new k-stage DEA based MOLP model for target setting in the serial network structures, considering undesirable outputs. Since the proposed model takes the size of DMUs into account, the new idea ensures the possibility of the results. The results showed the applicability of the proposed plan. پرونده مقاله -
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73 - Modeling a Concentration Pattern on Critical Paths in Control of Project Delays
V. Rooholelm A. Sheikh AboumasoudiIn the present study the researchers believes that, risk of delays should be managed, minimized, shared, transferred or accepted, but it cannot be ignored. By providing an innovative method with the help of the Work breakdown Structure, Baseline, Hierarchical Technique چکیده کاملIn the present study the researchers believes that, risk of delays should be managed, minimized, shared, transferred or accepted, but it cannot be ignored. By providing an innovative method with the help of the Work breakdown Structure, Baseline, Hierarchical Technique and Data Envelopment Analysis (DEA), the researchers will control the risk of projects and even prevent them from occurring. پرونده مقاله -
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74 - An Inverse Dynamic FDH Approach to Estimate Outputs
F. Asadi S. Kordrostami AR. Amirteimoori M. BazrafshanIn many situations, the performance and the changes of outputs related to dynamic systems should be estimated while the convexity property is relaxed. Accordingly, first, a dynamic free disposal hull (FDH) model is proposed in this paper to address the efficiency of pro چکیده کاملIn many situations, the performance and the changes of outputs related to dynamic systems should be estimated while the convexity property is relaxed. Accordingly, first, a dynamic free disposal hull (FDH) model is proposed in this paper to address the efficiency of processes in multiple period of time while the convexity assumption is unsatisfied. Also, two problems, including a mixed integer linear programming and a linear programming model are provided to compute the dynamic FDH model that is a mixed integer non-linear programming problem. Then the changes of multi-period outputs are dealt with for changes of inputs related to several periods using the proposed inverse dynamic FDH model while the efficiency levels are preserved. A case study of gas industry is, moreover, presented to demonstrate the introduced models. The results show the proposed technique is useful to analyze the performance and to estimate outputs in dynamic processes without including convexity. پرونده مقاله -
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75 - An Algorithm for Weak Defining Hyperplanes of the PPS in Data Envelopment Analysis
A. A. Bani M. Rostamy-Malkhalifeh F. Hosseinzade LotfiBorder points of the production possibility set (PPS) have particular importance in data envelopment analysis (DEA). The present study aims to provide a method to find weak defining hyperplanes of DEA models by the anchor points. Anchor points are an important subset of چکیده کاملBorder points of the production possibility set (PPS) have particular importance in data envelopment analysis (DEA). The present study aims to provide a method to find weak defining hyperplanes of DEA models by the anchor points. Anchor points are an important subset of the set of extreme efficient points of the PPS in DEA. They are directly related to weak defining hyperplanes in the production possibility set. Therefore, we used this feature and offered a practical algorithm to find weak defining hyperplanes of PPS. Eventually, we illustrate our algorithm using two numerical examples. پرونده مقاله -
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76 - Evaluating the Efficiency of Firms with Negative Data in Multi-Period Systems: An Application to Bank Data
S. Kordrostami‎‎ M. Jahani Sayyad ‎NoveiriData Envelopment Analysis (DEA) is a mathematical technique to evaluate the performance of firms with multiple inputs and outputs. In conventional DEA models, the efficiency scores of Decision Making Units (DMUs) with non-negative inputs and outputs are evaluated in a s چکیده کاملData Envelopment Analysis (DEA) is a mathematical technique to evaluate the performance of firms with multiple inputs and outputs. In conventional DEA models, the efficiency scores of Decision Making Units (DMUs) with non-negative inputs and outputs are evaluated in a special period of time. However, in the real world there are situations wherein performance of firms must be evaluated in multiple periods of time while negative data are present; for this matter the current paper proposes an approach for assessing the efficiency of multi-period systems in the presence of positive and negative measures. To illustrate, the average efficiency of firms with some negative measures are calculated in multi-period production systems. The suggested approach utilizes the Semi-Oriented Radial Measure (SORM) model (Emrouznejad et al. \cite{4}) for incorporating some negative factors (inputs and outputs) and determining the efficiency of multi-period production systems. A real world data set related to banking sector is used to illustrate and clarify the proposed approach. پرونده مقاله -
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77 - New model for ranking DMUs in DDEA as a special case
J. Pourmahmoud‎The purpose of this paper is to offer the equitable method for ranking Decision Making Units(DMUs) based on the Dynamic Data Envelopment Analysis (DDEA) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between c چکیده کامل‎The purpose of this paper is to offer the equitable method for ranking Decision Making Units(DMUs) based on the Dynamic Data Envelopment Analysis (DDEA) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. In fact, this paper originally makes the use of an approach extending the ranking of DMUs in DEA by Khodabakhshi and Aryavash into the Dynamic DEA framework. Hence, firstly, we compute minimum and maximum efficiency values of each DMUs in dynamic state, under the assumption that the sum of efficiency values of all DMUs in dynamic state is equal to unity. Thus, with the combination of its minimum and maximum efficiency values, the rank of each DMUs is ‎determined.‎ پرونده مقاله -
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78 - Estimation of portfolio efficient frontier by different measures of risk via DEA
M. Sanei S. ‎Banihashemi‎ M. ‎Kaveh‎In this paper, linear Data Envelopment Analysis models are used to estimate Markowitz efficient frontier. Conventional DEA models assume non-negative values for inputs and outputs. however, variance is the only variable in these models that takes non-negative values. Th چکیده کاملIn this paper, linear Data Envelopment Analysis models are used to estimate Markowitz efficient frontier. Conventional DEA models assume non-negative values for inputs and outputs. however, variance is the only variable in these models that takes non-negative values. Therefore, negative data models which the risk of the assets had been used as an input and expected return was the output are utilized . At the beginning variance was considered as a risk measure. However, both theories and practices indicate that variance is not a good measure of risk. Then value at risk is introduced as new risk measure. In this paper,we should prove that with increasing sample size, the frontiers of the linear models with both variance and value at risk , as risk measure, gradually approximate the frontiers of the mean-variance and mean-value at risk models and non-linear model with negative data. Finally, we present a numerical example with variance and value at risk that obtained via historical simulation and variance-covariance method as risk measures to demonstrate the usefulness and effectiveness of our ‎claim.‎ پرونده مقاله -
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79 - A New Group Data Envelopment Analysis Method for Ranking Design Requirements in Quality Function Deployment
J. ‎Pourmahmoud‎ E. Babazadeh‎Data envelopment analysis (DEA) is an objective method for priority determination of decision making units (DMUs) with the same multiple inputs and outputs. DEA is an efficiency estimation technique, but it can be used for solving many problems of management such a چکیده کامل‎Data envelopment analysis (DEA) is an objective method for priority determination of decision making units (DMUs) with the same multiple inputs and outputs. DEA is an efficiency estimation technique, but it can be used for solving many problems of management such as rankig of DMUs. Many researchers have found similarity between DEA and MCDM techniques. One of the earliest techniques in MCDM is Quality Function Deployment (QFD) which is a team-based and disciplined approach to product design, engineering and production and provides in-depth evaluation of a product. The QFD team is responsible for assessing the relationships between costumer requirements (CRs) and design requirements (DRs) and the interrelationships between DRs. In practice, each member demonstrates significantly different behavior from the others and generates different assessment results, leading to the QFD with uncertainty. In this paper data envelopment analysis is used to overcome this uncertainty. Each member's subjective assessment is taken into account directly and a new data envelopment analysis method in group situation is constructed which differs from multi-objective decision making models. Then, without using Charnes-Cooper transformation, the proposed model is transformed into a linear programing problem in a completely different manner. We will call the proposed model "Grouped-QFDEA"‎.‎ پرونده مقاله -
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80 - Flexibility of Variations in Radial and Non-Radial Data Envelopment Analysis Models
S. ‎Kordrostami A. ‎Amirteimoori‎ M. Jahani Sayyad ‎Noveiri‎One of the major problems in Data Envelopment Analysis (DEA) is to determine the projection of inefficient Decision Making Units (DMUs) into the efficient frontier. In conventional DEA models, inputs and outputs of inefficient DMUs alter arbitrarily for reaching to the چکیده کاملOne of the major problems in Data Envelopment Analysis (DEA) is to determine the projection of inefficient Decision Making Units (DMUs) into the efficient frontier. In conventional DEA models, inputs and outputs of inefficient DMUs alter arbitrarily for reaching to the efficient frontier. Nevertheless, sometimes the ability of DMUs is defined and restricted. Moreover, there are situations in the real world applications that limited resources exist. Therefore, in these cases inputs and outputs cannot vary irrationally. Actually, there are pre-specified alteration levels of inputs and outputs. For this purpose, the current study proposes DEA-based models, radial and non-radial models, to evaluate the relative efficiency of DMUs with restricted input and output variables. Furthermore, non-radial super-efficiency models are extended for ranking efficient DMUs. An example from the banking sector is used to illustrate the proposed approach. پرونده مقاله -
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81 - Impact of Outliers in Data Envelopment Analysis
A. Gholam ‎Abri‎This paper will examine the relationship between "Data Envelopment Analysis" and a statistical concept ``Outlier". Data envelopment analysis (DEA) is a method for estimating the relative efficiency of decision making units (DMUs) having similar tasks in a production sys چکیده کاملThis paper will examine the relationship between "Data Envelopment Analysis" and a statistical concept ``Outlier". Data envelopment analysis (DEA) is a method for estimating the relative efficiency of decision making units (DMUs) having similar tasks in a production system by multiple inputs to produce multiple ‎outputs.‎ An important issue in statistics is to identify the outliers. In this paper, we attempt to investigate the concept of the outliers determination by data envelopment analysis and assess the manner of decision making units when a sample contains an outlier. We will start by providing a review literature. We will then proceed with our proposed method and discuss the strengths and weaknesses of our method. We will provide some numerical results to demonstrate the applicability of our ‎method.‎ پرونده مقاله -
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82 - Malmquist Productivity Index for Two-stage Structures and its Applications in Bank Branches
M. ShahriariThis study uses the data envelopment analysis (DEA) to assess the progress/regression of decision-making units (DMUs) having a two-stage structure‎. ‎The progress/regression of these DMU can be assessed in the first stage‎, ‎the second stage‎, ‎a چکیده کاملThis study uses the data envelopment analysis (DEA) to assess the progress/regression of decision-making units (DMUs) having a two-stage structure‎. ‎The progress/regression of these DMU can be assessed in the first stage‎, ‎the second stage‎, ‎and the whole system‎. ‎In the first stage‎, ‎the progress/regression of bank branches in collecting resources and in the second stage their progress/regression in allocating the resources as well as gaining profit are calculated‎, ‎and the combination of both types of data is ultimately analyzed‎. The progress/regression is calculated using two separate indices‎: ‎the The Malmquist indexand the Meta-Malmquist index‎. ‎This study applied the proposed models to 20 branches of a commercial bank with two-stage structure‎. ‎The obtained results were analyzed using ‎GAMS. پرونده مقاله -
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83 - Ranking Network-Structured Decision-Making Units and Its Application in Bank Branches
M. ShahriariData envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units‎. Unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal s چکیده کاملData envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units‎. Unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producing outputs which are subsequently fed as inputs to the second stage‎. ‎These indices are introduced as intermediate indices‎. ‎Here‎, it is assumed that congruent decision-making units have a two-stage serial structure‎. ‎In this structure‎, ‎the first stage and second stages act as the supplier and the consumer of resources respectively‎. ‎Two ranking models based on the efficiency cloud and the common set of weights concepts were developed for ranking network-structured decision-making units‎. ‎In the practical example presented in this study‎, ‎25 bank branches were ranked using the two-stage method.‎‎‎ پرونده مقاله -
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84 - Increasing the Discrimination Power in a Voting System
Abdollah Hadi-VenchehRanking DMUs based on individual preferences is an interesting and useful part of decision-making problems. Comparing the weighted sum of the selected number of rank votes, after determining the weights in a selected rank, can be regarded as a common approach to compute چکیده کاملRanking DMUs based on individual preferences is an interesting and useful part of decision-making problems. Comparing the weighted sum of the selected number of rank votes, after determining the weights in a selected rank, can be regarded as a common approach to compute the total ranking of alternatives. In actual applications, making the weight of a certain rank zero means that we throw away the corresponding part of the obtained rank voting data. This paper proposes a new model to assess the non-zero weights for each position. پرونده مقاله -
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85 - The Ranking of Fraudulent Financial Reporting By Using Data Envelopment Analysis: Case of Pharmaceutical Listed Companies
Bahman BanimahdFraudulent financial reporting has been one of the most sensitive issues on the business world. Financial statements that conceal the company's facts have caused great losses to its stakeholders. The ranking of companies based on fraudulent financial reporting is one of چکیده کاملFraudulent financial reporting has been one of the most sensitive issues on the business world. Financial statements that conceal the company's facts have caused great losses to its stakeholders. The ranking of companies based on fraudulent financial reporting is one of the key issues for performance analysis. This study, by using financial variables and the data envelopment analysis methodology, ranked the pharmaceutical companies listed on the Tehran Stock Exchange in terms of fraudulent financial reporting. The data and theoretical framework of the research are based on library studies and data analysis has been done based on the data envelopment analysis model. The results of this study indicate that the most manipulation of profits in 2015 was in the Daru Amin and Faravordehaye Tazrighi companies, as well as Iran Daru and Sina Daru in 2016. This will lead to the companies being ranked at the highest level of fraudulent financial reporting. پرونده مقاله -
دسترسی آزاد مقاله
86 - Application of Resource-Based View Theory in Assessing of Efficiency of Companies Accepted in Tehran Stock Exchange by Data Envelopment Analysis
Zahra Moradi Mona Ghilavi Mohammad Hamed Khan Mohammadi Zohreh HajihaResource-based view (RBV) theory analyzes and interprets company's resources in order to find out how organizations gain a competitive advantage. This theory fo-cuses on the implications of the complicated features of a company as the resources for excellent performance چکیده کاملResource-based view (RBV) theory analyzes and interprets company's resources in order to find out how organizations gain a competitive advantage. This theory fo-cuses on the implications of the complicated features of a company as the resources for excellent performance and comparative advantage. According to this view, capa-bilities and resources of the company are the main factors in explaining the func-tional results or competitive advantage. Resources can be considered as inputs which enable companies to do their activities. The purpose of this research is to introduce a resource-based theory for calculating the efficiency score of accepted companies in Tehran Securities Exchange by using Data Envelopment Analysis (DEA). In this regard, the financial statements of 190 companies accepted in the exchange for the 2009 – 2018 period have been analysed. Efficiency indicators, which include 4 categories of resources (10 inputs) and 5 outputs, have formed the axis of the mentioned technique. The results of implementing this model for compa-nies with the efficiency score of one, indicates first a minimal input consumption compared to competing companies in the same industry while producing more out-put, and second, using the resource-based view theory (integration of tangible and intangible resources) enables the company to push the boundaries of efficiency. Finally, it can be said that utilizing minimum and maximum resources simultaneous-ly leads to a focus strategy-type competitive advantage. پرونده مقاله -
دسترسی آزاد مقاله
87 - DEA Approaches for Financial Evaluation - A Literature Review
Mohammad IzadikhahFinancial assessment has been of great interest to both academic and practitioners in the past decades. Among several performance assessment approaches, Data Envelopment Analysis (DEA) has become one of the crucial tools that have been commonly adopted to financially ev چکیده کاملFinancial assessment has been of great interest to both academic and practitioners in the past decades. Among several performance assessment approaches, Data Envelopment Analysis (DEA) has become one of the crucial tools that have been commonly adopted to financially evaluate firms in various fields. The main aim of this review article is to review of DEA models in regarding to evaluation of the financial performance. This paper presents the first comprehensive and structured literature review of the use of DEA models for financially assessment. To this end, this paper reviewed and summarized the different models of DEA models that have been applied around the world to development of financial assessment problems. Consequently, a review of 455 published scholarly papers appearing in 160 journals between 1994 and 2021 have been obtained to achieve a comprehensive review of DEA application in financial efficiency. Accordingly, the selected articles have been categorized based on year of publication, authors, nationalities, scope of study, time duration, application area, study purpose, results, outcomes, etc. The discussion and the findings of this paper can be used as a guideline to analysts to determine the best fit financial assessment method when DEA evaluation is applied to any dataset. Future perspectives and challenges are discussed. پرونده مقاله -
دسترسی آزاد مقاله
88 - Patterning Mergers and Acquisitions by Network Data Envelopment Analysis in the Iranian Insurance Companies
Elham Sadeghi Mohsen Rostamy-Malkhalifeh Mohammad Reza Miri Lavasani mohammad hamed khan mohammadiOne of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doi چکیده کاملOne of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doing this process in the insurance industry using network data envelopment analysis and can select the companies that potentially facilitate achieving the purposes of the merger and acquisition process and improve of this action. For this purpose, in this study, first the efficiency of 20 insurance companies was measured through the Modified Slack-Based Measure (MSBM) in the two-stage data envelopment analysis approach during three years 2017, 2018 and 2019. Then, considering the calculated efficiency, Asia Insurance Company, Parsian, Dey, Pasargad, Kowsar and Taavon, which have had efficient performance in the last three years, were excluded from the calculations and other companies were selected for M&A . After ensuring that no monopoly is considered via Herfindahl- Hirschman Index, M&A is performed and then the overall efficiency was measured and it was divided into three parts: technical, harmony and scale. The results showed that the two consolidations Dana-Mihan and Dana-Sina had the best efficiency and the three consolidations Alborz-Mellat, Sina-Arman and Sina-Sarmad had the lowest efficiency and potential for the highest improvement. Calculations also showed that if the scale effect in the composition is greater than 1, then the coordination effect is smaller than 1 and the inverse relationship are not necessarily satisfied. پرونده مقاله -
دسترسی آزاد مقاله
89 - A New Method of Sensitivity Analysis of Returns to Scale in Two-Stage Network; A Case Study of the Insurance Industry in Iran
Maryam Sarparast Farhad Hosseinzadeh Lotfi Alireza Amirteimoori Mohsen Rostamy-MalkhalifehOne important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to چکیده کاملOne important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to determine return to scale classification in two-stage networks. The current article proposed an approach for determining the stability region of returns to scale classification in two-stage network DEA. The data were collected from insurance companies in Iran in 2019. We consider the insurance industry process as a two-stage network; the stage of marketing and that of investment. The effectiveness of insurance companies was evaluated, and, after determining the classification of returns to scale, we found a sustainability interval to classify returns to their scale. پرونده مقاله -
دسترسی آزاد مقاله
90 - Computing the Efficiency of Bank Branches with Financial Indexes, an Application of Data Envelopment Analysis (DEA) and Big Data
Fahimeh Jabbari-Moghadam Farhad Hosseinzadeh Lotfi Mohsen Rostamy-Malkhalifeh Masoud Sanei Bijan Rahmani-ParchkolaeiIn traditional Data Envelopment Analysis (DEA) techniques, in order to calculate the efficiency or performance score, for each decision-making unit (DMU), specific and individual DEA models are designed and resolved. When the number of DMUs are immense, due to an increa چکیده کاملIn traditional Data Envelopment Analysis (DEA) techniques, in order to calculate the efficiency or performance score, for each decision-making unit (DMU), specific and individual DEA models are designed and resolved. When the number of DMUs are immense, due to an increase in complications, the skewed or outdated, calculating methods to compute efficiency, ranking and …. may not prove to be economical. The key objective of the proposed algorithm is to segregate the efficient units from that of the other units. In order to gain access to this objective, effectual indexes were created; and taken to assist, in regards the DEA concepts and the type of business (under study), to survey the indexes, which were relatively operative. Subsequently, with the help of one of the clustering techniques and the ‘concept of dominance’, the efficient units were absolved from the inefficient ones and a DEA model was developed from an aggregate of the efficient units. By eliminating the inefficient units, the number of units which played a role in the construction of a DEA model, diminished. As a result, the speed of the computational process of the scores related to the efficient units increased. The algorithm designed to measure the various branches of one of the mercantile banks of Iran with financial indexes was implemented; resulting in the fact that, the algorithm has the capacity of gaining expansion towards big data. پرونده مقاله -
دسترسی آزاد مقاله
91 - Marketing Strategy Evaluation by Integrating Dynamic Systems Modeling and Network Data Envelopment Analysis
Mojtaba Kaveh Saeid Saeida Ardekani Seyed Mohammad TabatabaeenasabNowadays, the service industries play an essential role in the economic development of countries, and among the various fields of insurance, life insurance is of particular importance because it covers its cover directly to humans. Increased competition in the insurance چکیده کاملNowadays, the service industries play an essential role in the economic development of countries, and among the various fields of insurance, life insurance is of particular importance because it covers its cover directly to humans. Increased competition in the insurance industry has led managers to seek marketing strategies that, in addition to increasing insurance sales, reduce costs and gain competitive advantage. Therefore, the purpose of this study was to develop appropriate marketing strategies in the form of scenario-based strategic planning in the life insurance market of Mellat Insurance Company. For this purpose, system dynamics and network data envelopment analysis tools have been used. In order to formulate marketing strategies, the causal-loop diagram and then the flow-stock diagram were simulated for scenario-based strategic planning. Then the operation was performed for different scenarios and the simulated results were put as input to the data envelopment analysis model and based on the obtained results, the best and most efficient scenario was selected. It should be noted that in this study, different scenarios play the role of marketing models and strategies, and their performance has been analyzed. پرونده مقاله -
دسترسی آزاد مقاله
92 - Implementation of two assessment models Based on Failure Rate and NDEA in production supply chains with the approach of choosing the right supplier
mehdi latifiee Morteza ShafieeOne of the important issues in the supply chain is the selection of reliable and efficient suppliers, which improves performance and competitive advantage. Therefore, the aim of this research is to implement two evaluation models based on failure rate and NDEA with the چکیده کاملOne of the important issues in the supply chain is the selection of reliable and efficient suppliers, which improves performance and competitive advantage. Therefore, the aim of this research is to implement two evaluation models based on failure rate and NDEA with the approach of choosing the right supplier in 7 separate supply chains of an electrical appliance manufacturing company in Shiraz. In this direction, a series-parallel system was used to evaluate based on the failure rate, which at the first level examines the reliability of the suppliers and at the second level examines the reliability of the devices required for the production of electrical appliances. And in order to calculate the efficiency of suppliers, the NDEA model was also used. The results showed that both presented approaches are suitable for evaluating the performance of the supply chain, because the performance rating of both models has high resolution. پرونده مقاله -
دسترسی آزاد مقاله
93 - Profitability and Effectiveness by Means Two Stage DEA Model in Iranian Bank
Morteza ShafieeThe purpose of this paper is to provide a frameworkfor evaluating the overall performance of bank branches in terms ofprofitability efficiency and effectiveness. Ioannis E.Tsolas (2010) introduced“Modeling Bank Branch Profitability and Effectiveness by MeansDEA&rd چکیده کاملThe purpose of this paper is to provide a frameworkfor evaluating the overall performance of bank branches in terms ofprofitability efficiency and effectiveness. Ioannis E.Tsolas (2010) introduced“Modeling Bank Branch Profitability and Effectiveness by MeansDEA”. But this study has several problems regarding modeling and theresults it claims to be withstanding. In 2010 Kumer and Gulati introduceda model for performance evaluation. But this study also has aproblem with regard to modeling. We can say that the model introducedin Tsolas, Kumer and Gulati‘s studies was already introduced byHo and Zhu (2004) and Ho (2007). This paper tries to take a close lookat these problems and offer a solution to modify it in a more practicalmodel. First, we analyze the Ho and Zhu (2004) Ho (2007), Tsolas(2010), Kumer and Gulati‘s (2010) model and prove them to be incorrect.Then we apply a modified two stage model proposed by Chen,Liang and Zhu (2009) in bank branches in Iran. This study aggregatesprofitability efficiency and effectiveness into overall performance. In Hoand Zhu (2004) Ho (2007), Tsolas (2010), Kumer and Gulati‘s (2010)studies, they assume that profitability efficiency and effectiveness areindependent, and with that assumption, they design a two stage DEAmodel. We show that this assumption is wrong, and we cannot designa two stage DEA model with this assumption. There are some relationsbetween profitability efficiency and effectiveness which are very important.Without considering these relations we cannot obtain a superiorinsight about the overall performance. Finally, we show that the resultsof the modified model are proved to be more accurate than those ofTsolas, Kumer and Gulati‘s model. This study shows the importance ofprofitability efficiency and effectiveness in overall performance of bankbranches in Iran. پرونده مقاله -
دسترسی آزاد مقاله
94 - Performance Evaluation of IT Industries Using SERVQUAL, DEA and FMCDM
Alireza Alinezhad Ramin HakimianIn developed countries, improvement has been made in service providing industries along with the improvements made in quality assurance and management skills and systems in the domain of manufacturing industries. Unfortunately, in developing countries, primary needs hav چکیده کاملIn developed countries, improvement has been made in service providing industries along with the improvements made in quality assurance and management skills and systems in the domain of manufacturing industries. Unfortunately, in developing countries, primary needs have led these countries to focus their attention illogically and solely on production and they disregard the quality of services. That is why this research aims at investigating service improvement in the domain of Information Technology. Nowadays, the role played by information technology and communication in economic growth is evident to everyone. Because of access to Internet, communication and information technology is considered one of the major elements in providing services and has improved the efficiency of this industry. Meanwhile, focusing on service quality is an efficient approach that results in customer orientation in an organization and is believed by our domestic organizations and companies to be an efficient method to satisfy customers’ demands and has been applied so many times. Presenting a compound approach, this research uses SERVQUAL as a tool for quality engineering of services, and multiple criteria decision making for ranking service providing branches, and data envelopment analysis for making improvement and benchmarking and it is an attempt to overcome these weaknesses and develop quality models in regard with service providing so that the current gap can be filled. پرونده مقاله -
دسترسی آزاد مقاله
95 - Evaluating Cost Efficiency in Fuzzy Environment by Using Expected Value
Ali Payan Mohsen HekmatniaToday, one of the most fundamental issues within the field of industrial and nonindustrial activities is evaluate the costs performance of the units which are associated with industrial and nonindustrial activities. Data envelopment analysis (DEA) is a nonparametric met چکیده کاملToday, one of the most fundamental issues within the field of industrial and nonindustrial activities is evaluate the costs performance of the units which are associated with industrial and nonindustrial activities. Data envelopment analysis (DEA) is a nonparametric method for evaluating performance. Fuzzy sets theory is a powerful tool for mentioning ambiguous situations. Traditional DEA models cannot work with fuzzy data therefor there is a need for a method which can evaluate this type of activities. Yet, in fuzzy data envelopment analysis, there isn’t a powerful method which can evaluate cost efficiency in fuzzy environment. In this paper, a new methods for obtaining cost efficiency measurement with data set of fuzzy numbers in various conditions (variable return to scale and constant return to scale) is suggested. These consist of situations where prices are fuzzy numbers and unknown exactly at each decision making unit (DMU). All offered methods are applied in an assessment project and results are mentioned. پرونده مقاله -
دسترسی آزاد مقاله
96 - مقایسه قدرت تفکیک پذیری مدل های بازده به مقیاس متغیر به منظور ارزیابی کارایی واحدهای تصمیم گیرنده در صنعت بانکداری
Gholamreza Panahandeh Khojin Abbas Toloie Ashlaghi Mohammad Ali Afshar Kazemiتحلیل پوششی داده ها بعنوان یک ابزار مناسب برای برآورد کارایی شرکت هایی که از تکنولوژی های تولید با چندین ورودی و چندین خروجی استفاده می نمایند، مورد استفاده قرار می گیرد. مدلهای کلاسیک تحلیل پوششی داده ها بدلیل پایین بودن قدرت تفکیک واحدها اغلب اطلاعات دقیقی را از وضعی چکیده کاملتحلیل پوششی داده ها بعنوان یک ابزار مناسب برای برآورد کارایی شرکت هایی که از تکنولوژی های تولید با چندین ورودی و چندین خروجی استفاده می نمایند، مورد استفاده قرار می گیرد. مدلهای کلاسیک تحلیل پوششی داده ها بدلیل پایین بودن قدرت تفکیک واحدها اغلب اطلاعات دقیقی را از وضعیت واحد ها در اختیار مدیران و سیاست گذاران سازمانی قرار نمی دهند. در این پژوهش، اساس کار مدل BCCخروجی محور تحلیل پوششی داده ها بوده و به منظور افزایش قدرت تفکیک پذیری واحد های تصمیم گیرنده کارا از ناکارا، مدل برنامه ریزی آرمانی تحلیل پوششی داده ها برمبنای BCC مورد استفاده قرار گرفت و در ادامه برای افزایش قدرت تفکیک واحد های تصمیم گیرنده از یک مدل جدید تحت عنوان مدل برنامه ریزی آرمانی اصلاح شده تحلیل پوششی داده ها برمبنای BCC خروجی محور برای سنجش کارایی استفاده شد. در این پژوهش مدیریت شعب بانک قوامین سراسر کشور مورد ارزیابی قرار گرفت که نتایج حاصل از پژوهش قدرت تفکیک پذیری مدل برنامه ریزی آرمانی اصلاح شده تحلیل پوششی داده ها برمبنای BCC خروجی محور نسبت به سایر مدلهای تحلیل پوششی داده ها را نشان می دهد. به طوریکه از 32 مدیریت تحت بررسی در بانک قوامین، مدیریت شعب غرب تهران با استفاده از این مدل کارا و بقیه مدیریت ها ناکارا تشخصیص داده شد. پرونده مقاله -
دسترسی آزاد مقاله
97 - استفاده از مدل تحلیل پوششی داده ها برای ارزیابی عملکرد زنجیره تأمین سه سطحی
Saviz Saei Esmaeil Najafiتحلیل پوششی داده ها ابزاری برای محاسبه کارایی در واحدهای تصمیم گیری از جمله زنجیره تأمین است. از آنجا که اخیراً مدل تحلیل پوششی دو مرحله ای تمرکز بیشتری روی فرآیندهای زنجیره تأمین در دو سطح داشته است؛ بدین منظور ضرورت ارزیابی زنجیره تأمین در سطوح بالاتر برای دستیابی به چکیده کاملتحلیل پوششی داده ها ابزاری برای محاسبه کارایی در واحدهای تصمیم گیری از جمله زنجیره تأمین است. از آنجا که اخیراً مدل تحلیل پوششی دو مرحله ای تمرکز بیشتری روی فرآیندهای زنجیره تأمین در دو سطح داشته است؛ بدین منظور ضرورت ارزیابی زنجیره تأمین در سطوح بالاتر برای دستیابی به کارایی دقیق تر محسوس است. در این مقاله مدل وانگ(2010) را در سه سطح جهت ارزیابی یک زنجیره تأمین، گسترش داده ایم تا اهمیت یکپارچگی در کل زنجیره تأمین را نشان دهیم. در این مدل، تحلیل پوششی داده های دو مرحله ای کو و هوانگ(2010) با فرض بازده به مقیاس متغیر و کارایی مدل چن(2009) با در نظر گرفتن اهمیت نسبی وزن ها در هر مرحله به طور مجزا لحاظ شده است. مدل ارائه شده در یک مثال عددی اجرا گردیده و نتایج در قالب جداولی تحلیل گردیده است. پرونده مقاله -
دسترسی آزاد مقاله
98 - ارزیابی عملکرد سازمان با استفاده از دو رویکرد تلفیقی DEA-BSC و ANN-DEA
رضا احتشام‏ راثی عیسی ناجیبا توجه به اهمیت کارایی در پیشبرد جوامع و جایگاهی که سازمان های امروزی به خود اختصاص داده ، استفاده از ارزیابی عملکرد به ضرورتی گریز ناپذیر تبدیل شده است. از این رو در این پژوهش سعی بر آن داریم تا با استفاده از تلفیق دو رویکرد DEA-BSC و ANN-DEA به بررسی کارایی سازمان ها چکیده کاملبا توجه به اهمیت کارایی در پیشبرد جوامع و جایگاهی که سازمان های امروزی به خود اختصاص داده ، استفاده از ارزیابی عملکرد به ضرورتی گریز ناپذیر تبدیل شده است. از این رو در این پژوهش سعی بر آن داریم تا با استفاده از تلفیق دو رویکرد DEA-BSC و ANN-DEA به بررسی کارایی سازمان ها بپردازیم. در این راستا، ابتدا به تعیین شاخص های عملکرد به کمک تکنیک کارت امتیازی متوازن در چهار بعد مشتری، فرآیندهای داخلی، رشد و یادگیری و مالی پرداخته، سپس با استفاده از روش تحلیل پوششی داده ها و مدل غیر شعاعی SBM و نرم افزار GAMS کارایی سازمان را محاسبه نمودیم. در گام بعد به کمک شاخص های بدست آمده از روش DEA-BSC و با استفاده از رویکرد تلفیق تحلیل پوششی داده ها و شبکه عصبی مصنوعی و با بهره گیری از نرم افزار MATLAB میزان کارایی را مجدداً محاسبه نمودیم. در گام آخر به مقایسه دو روش DEA-BSC و ANN-DEA پرداخته که نتایج بدست آمده از مقایسه دو روش مذکور حاکی از سازگاری دو مدل در بحث کارایی و برتری روش ANN-DEA به لحاظ زمان کوتاه پاسخگویی و تعیین کارایی و امکان استفاده از الگوریتم آموزش دیده آن برای اندازه گیری کارایی واحدهای سازمانی در آینده است. پرونده مقاله -
دسترسی آزاد مقاله
99 - An Efficient Economic-Statistical Design of Simple Linear Profiles Using a Hybrid Approach of Data Envelopment Analysis, Taguchi Loss Function, and MOPSO
Maryam Fazelimoghadam Mohammad Javad Ershadi Seyed Taghi Akhavan NiakiStatistically constrained economic design for profiles usually refers to the selection of some parameters such as the sample size, sampling interval, smoothing constant, and control limit for minimizing the total implementation cost while the designed profiles demonstra چکیده کاملStatistically constrained economic design for profiles usually refers to the selection of some parameters such as the sample size, sampling interval, smoothing constant, and control limit for minimizing the total implementation cost while the designed profiles demonstrate a proper statistical performance. In this paper, the Lorenzen-Vance function is first used to model the implementation costs. Then, this function is extended by the Taguchi loss function to involve intangible costs. Next, a multi-objective particle swarm optimization (MOPSO) method is employed to optimize the extended model. The parameters of the MOPSO are tuned using response surface methodology (RSM). In addition, data envelopment analysis (DEA) is employed to find efficient solutions among all near-optimum solutions found by MOPSO. Finally, a sensitivity analysis based on the principal parameters of the cost function is applied to evaluate the impacts of changes on the main parameters. The results show that the proposed model is robust on some parameters such as the cost of detecting and repairing an assignable cause, variable cost of sampling, and fixed cost of sampling. پرونده مقاله -
دسترسی آزاد مقاله
100 - A Non-radial Approach for Setting Integer-valued Targets in Data Envelopment Analysis
Reza Kazemi MatinData Envelopment Analysis (DEA) has been widely studied in the literature since its inception with Charnes, Cooper and Rhodes work in 1978. The methodology behind the classical DEA method is to determine how much improvements in the outputs (inputs) dimensions is necess چکیده کاملData Envelopment Analysis (DEA) has been widely studied in the literature since its inception with Charnes, Cooper and Rhodes work in 1978. The methodology behind the classical DEA method is to determine how much improvements in the outputs (inputs) dimensions is necessary in order to render them efficient. One of the underlying assumptions of this methodology is that the units consume and produce real valued data. This paper deals with the extension of this methodology for the case of integer-valued data. Based on an additive DEA model, a mixed integer linear programming model is proposed for setting integer-valued targets. An empirical example illustrates the approach. پرونده مقاله -
دسترسی آزاد مقاله
101 - ارزیابی هوش هیجانی با استفاده از تحلیل پوششی دادهها(نمونه موردی: دانشجویان دانشگاه آزاد اسلامی واحد یادگار امام (ره) )
فاطمه مرادی مهناز مقبولیبرای سال‌های متمادی تصور بر این بود که ضریب هوشی نماینده میزان موفقیت افراد است. در دهه اخیر تحقیقات در یافتند که علاوه بر ضریب هوشی، عاملی به نام هوش هیجانی نیز جز شاخصهای ارزیابی موفقیت یک فرد میتواند قلمداد شود. در ابتدای پیدایش شاخص هوش هیجانی، روانشناسان بیشتر بر چکیده کاملبرای سال‌های متمادی تصور بر این بود که ضریب هوشی نماینده میزان موفقیت افراد است. در دهه اخیر تحقیقات در یافتند که علاوه بر ضریب هوشی، عاملی به نام هوش هیجانی نیز جز شاخصهای ارزیابی موفقیت یک فرد میتواند قلمداد شود. در ابتدای پیدایش شاخص هوش هیجانی، روانشناسان بیشتر برروی جنبه‌های شناختی همانند حافظه و حل مسئله تأکید می‌کردند. اما خیلی زود دریافتند که جنبه‌های غیرشناختی مانند عوامل عاطفی و اجتماعی نیز دارای اهمیت زیادی هستند. برای بررسی اهمیت این شاخص در ارزیابی‌ها یک نمونه تصادفی 81 تایی از دانشجویان رشتههای الکترونیک و مکانیک دانشگاه آزاد اسلامی واحد یادگار امام (ره) انتخاب شد. ابزار گردآوری، پرسشنامه هوش هیجانی برگرفته شده از کتاب تراویس برادبری می‌باشد. بعد از جمع‌آوری دادهها، با استفاده از مدلهای تحلیل پوششی دادهها، عملکرد هوش هیجانی دانشجویان مورد ارزیابی قرار گرفت. سپس برای تمیز دادن دانشجویانی که عملکرد آنها خوب تشخیص داده شده بود از مدلهای ابرکارایی استفاده شد. نتایج نشان دهنده آن است که دانشجویان الکترونیک عموماً رتبه بالاتری را به خود اختصاص می‌دهند. همچنین بررسی تأثیر ضریب چهار فاکتور انتخابی(خودمدیریتی، خودآگاهی، آگاهی‌اجتماعی، مدیریت‌رابطه) در این مطالعه، نشان میدهد که مدیریت رابطه بیشترین تأثیر و خود مدیریتی کمترین تأثیر را در ارزیابی هوش هیجانی این تعداد از دانشجویان به خود تخصیص داده است. پرونده مقاله -
دسترسی آزاد مقاله
102 - کاربرد تحلیل پوششی دادهها در اندازه‌گیری کارآیی نسبی مراکز تلفن شهری (مطالعه موردی: مخابرات منطقه آذربایجان‌شرقی)
ابراهیم کیوان سلیمان ایرانزادهپس از خصوصی‌سازی و پذیرش شرکت مخابرات ایران در بازار بورس، اطلاع از وضعیت کارایی مراکز مخابراتی برای سهام‌داران امری اجتناب‌ناپذیر است. پژوهش حاضر در صدد پاسخگویی به این سوال اساسی است که چگونه میتوان مراکز تلفن شهری ناکارآمد را به مرز کارایی رساند. بدین منظور با جمع چکیده کاملپس از خصوصی‌سازی و پذیرش شرکت مخابرات ایران در بازار بورس، اطلاع از وضعیت کارایی مراکز مخابراتی برای سهام‌داران امری اجتناب‌ناپذیر است. پژوهش حاضر در صدد پاسخگویی به این سوال اساسی است که چگونه میتوان مراکز تلفن شهری ناکارآمد را به مرز کارایی رساند. بدین منظور با جمع‌آوری نظرات خبرگان در قالب پرسشنامه مقایسات زوجی و آنالیز دادهها به روش فرایند تحلیل شبکهای، متغیرهای مؤثر در کارایی مراکز مشخص شده است. داده‌های خام از آمار و نمرات ارزیابی اخذ شده از ادارات برنامه‌ریزی و بازرسی و ارزیابی و صورت‌های مالی منتهی به سال 1396 که مورد حسابرسی قانونی قرار گرفته، تهیه شده است. سپس به روش تحلیل پوششی دادهها و در شرایط بازده به مقیاس ثابت و متغیر، امتیاز کارایی مراکز، محاسبه، رتبهبندی و در نهایت راه‌کارهای بهبود کارایی مراکز ناکارآمد استخراج شده است. مطابق یافته‌های تحقیق، اختلاف تعداد مراکز ناکارآمد در دو مقیاس مذکور، دلالت بر نظریه ناکارایی مقیاس، عدم کارکرد مراکز در مقیاس بهینه و اتلاف منابع توسط مراکز می‌باشد. جایگاه ضعیف شهرستان‌ها در جدول رتبهبندی، لزوم گزینش رؤسای مخابرات شهرستان‌ها مطابق شایستگی‌های فردی و تخصصی را ایجاب میکند. همچنین از عوامل مهم ناکارایی مراکز، عدم وجود فضای رقابتی-انگیزشی، قدرت تصمیم‌گیری و ریسک‌پذیری و وجود محدودیت‌های مختلف سازمانی و قانونی می‌باشد. پرونده مقاله -
دسترسی آزاد مقاله
103 - تعیین جایگاه ایران در زمینه اقتصاد دانش بنیان در میان کشورهای منتخب
منیره دیزجی سهند دانشور علیرضا بابایی اناریدر این مقاله به بررسی و ارزیابی جایگاه ایران و چهل کشور انتخابی در زمینه اقتصاد دانش بنیان پرداخته می شود. روش کار محاسبه کارایی آنها با استفاده از تجزیه و تحلیل پوششی داده ها می باشد. تجزیه و تحلیل پوششی داده ها یکی از روشهای محاسبه کارایی واحد های تصمیم گیری با استفاد چکیده کاملدر این مقاله به بررسی و ارزیابی جایگاه ایران و چهل کشور انتخابی در زمینه اقتصاد دانش بنیان پرداخته می شود. روش کار محاسبه کارایی آنها با استفاده از تجزیه و تحلیل پوششی داده ها می باشد. تجزیه و تحلیل پوششی داده ها یکی از روشهای محاسبه کارایی واحد های تصمیم گیری با استفاده از برنامه ریزی خطی ریاضی و ورودی ها و خروجی های چند گانه است. بر این اساس کارایی کشورهای منتخب بر طبق مدل CCR ورودی محور و با استفاده از 13 مؤلفۀ اقتصاد دانش بنیان با تعداد نیروی کار، تولید ناخالص داخلی، تشکیل ناخالص سرمایه، کل مخارج صرف شده درفناوری اطلاعات و ارتباطات و ارزش افزوده خدمات در تولید ناخالص داخلی به عنوان ورودی ها و صادرات کالاهای با تکنولوژی بالا، تعداد محققین در تحقیق و توسعه، تعداد کاربران اینترنت ، خطوط تلفن ثابت و همراه، بهره وری نیروی کار و ارتباطات بین المللی به عنوان خروجی ها مورد ارزیابی قرار می گیرد. بر پایه نتایج این مقاله ایران در جایگاه 29 در میان کشورهای انتخابی می باشد و به نظر می رسد با پیروی از سیاستهای ایالات متحده آمریکا و چین بتوان جایگاه ایران را در این زمینه تقویت نمود. پرونده مقاله -
دسترسی آزاد مقاله
104 - Evaluating the Production Materials Suppliers of Saipa Industrial Group by Using Data Envelopment Analysis(DEA)
A. Javadinia A. Gholam AbriEvaluation of corporate performance has been one of the main issues in managing decision making. Nowadays, evaluation of the suppliers is a completely strategic process because organizations rarely change their suppliers. Thesuppliers also do their best to remain stable چکیده کاملEvaluation of corporate performance has been one of the main issues in managing decision making. Nowadays, evaluation of the suppliers is a completely strategic process because organizations rarely change their suppliers. Thesuppliers also do their best to remain stable in the loop of supply chain. Hence, it is important to evaluate the suppliers and not something to be done once at a time. It is necessary to do evaluations continually and dynamically in a reasonable period of time repeatedly. This is more important when we discover that one or more of the supplier conditions may be changed during the time and their output affected by the changes mentioned. The present study aims to evaluate, select and rank suppliers companies in Saipa Corporation in order to provide the most efficient choice, considering the limitations. In this study, using models of Data Envelopment Analysis (DEA) such as BCC and CCR, efficiency of the SAIPA supplier companies as decision-making units in 2013 has been calculated and the results are analyzed, then efficient units have been ranked by considering some weaknesses of DEA basic models. پرونده مقاله -
دسترسی آزاد مقاله
105 - Developing an Appropriate Investment Model in Stock Exchange by DEA Neural Network Approach
مصطفی کاظمی محمد اسفندیار حدیث نجاریانIn recent years, the existing competitions between investment companies have been increased largely by entering private investors in capital market. Large and powerful companies try to achieve the goals predicted to increase the competition capacity. To analyze the effi چکیده کاملIn recent years, the existing competitions between investment companies have been increased largely by entering private investors in capital market. Large and powerful companies try to achieve the goals predicted to increase the competition capacity. To analyze the efficiency of investment companies, parametric and non-parametric methods are used. In this research, based on the dissociation power and sensitivity of outliers efficiency frontier in DEA, the efficiency of 31 investment companies listed in Tehran Stock Exchange are evaluated by DEA models and neural network integrated model as 2 non-parametric methods during 2009-2011. Due o the weakness of DEA in ranking efficient units, these units will be ranked by Anderson and Peterson method. In DEA neural network integrated approach, multi-layer perspetron network by LM two training algorithm are used. When comparing the results of integrated model and DEA, the power of neural network will be represented for evaluating the efficiency. پرونده مقاله -
دسترسی آزاد مقاله
106 - بهره‌وری کل انرژی و عوامل موثر بر آن (صنایع تولیدی ایران)
ابراهیم نیک نقش نقی شجاع امیر غلام ابری محمد مهدی موحدیهدف این مقاله ارزیابی بهره وری کل انرژی و عوامل موثر بر آن در 134 صنعت تولیدی ایران در سطح کدهای چهار رقمی طبقه بندی بین‌المللی (ISIC) طی دوره 1394-1385 است. بدین منظور، با استفاده از روش تحلیل پوششی دادهها و شاخص مالم‌کوییست، کارایی فنّی, تکنولوژیکی و بهره‌وری کل انر چکیده کاملهدف این مقاله ارزیابی بهره وری کل انرژی و عوامل موثر بر آن در 134 صنعت تولیدی ایران در سطح کدهای چهار رقمی طبقه بندی بین‌المللی (ISIC) طی دوره 1394-1385 است. بدین منظور، با استفاده از روش تحلیل پوششی دادهها و شاخص مالم‌کوییست، کارایی فنّی, تکنولوژیکی و بهره‌وری کل انرژی صنایع تولیدی ایران محاسبه شده و سپس، با روش اثرات ثابت و گشتاورهای تعمیم‌یافته، عوامل موثر بر بهره‌وری کل انرژی برآورد شد. نتایج مدل نشان داد تمامی صنایع تولیدی، رشد مثبت پیشرفت تکنولوژیکی را تجربه نموده‌اند؛ اما هیچ کدام از کارایی فنّی برخوردار نبوده‌اند. به طور کلی، یافته‌ها حاکی از رشد بهره‌وری کل انرژی در صنایع تولیدی است. نتایج برآورد الگو نشان داد متغیرهای مهارت، فاوا، تحقیق و توسعه، سرمایه فیزیکی، ماشین‌آلات و تجهیزات، صادرات و زمان اثر معنادار و فقط تحصیلات، اثر غیرمعناداری بر بهره‌وری کل انرژی داشته است. بر اساس نتایج، بازبینی شیوه کار, بهبود مهارت‌های مدیریتی، حمایت یارانه‌ای دولت از تولید و سرمایه‌گذاری، کاهش تعرفه واردات تجهیزات و ماشین‌آلات سرمایه‌ای از صنایع با مصرف انرژی کم‌تر پیشنهاد میشود. پرونده مقاله -
دسترسی آزاد مقاله
107 - محاسبه کارایی زنجیره تامین پایدار در صنعت سیمان (کاربرد مدل تحلیل پوششی داده‌های شبکهای)
محمد حسین درویش متولی فرهاد حسین زاده لطفی نقی شجاع امیر غلام ابریهدف این مقاله ارائه مدل مناسب مبتنی بر تحلیل پوششی دادهها با ساختار شبکهای برای ارزیابی کارایی زنجیره تامین پایدار شرکتهای سیمان حاضر در بورس ایران طی دوره زمانی 1393-95 و تعیین میزان بهره وری آن ها بر اساس شاخص مالم‌کوئیست می باشد. این مدل می‌کوشد با در نظر گرفتن م چکیده کاملهدف این مقاله ارائه مدل مناسب مبتنی بر تحلیل پوششی دادهها با ساختار شبکهای برای ارزیابی کارایی زنجیره تامین پایدار شرکتهای سیمان حاضر در بورس ایران طی دوره زمانی 1393-95 و تعیین میزان بهره وری آن ها بر اساس شاخص مالم‌کوئیست می باشد. این مدل می‌کوشد با در نظر گرفتن محدودیت‌های کمّی و کیفی و نیز خروجی های نامطلوب، معیارهای پایداری در شبکه تامین معرفی نماید و از طریق سنجه آنها بر زنجیره تامین، نتایج سازگارتری با واقعیت حاصل نماید. به طور کلی، نتایج حاکی از کاهش بهره‌وری کل شرکتهای یاد شده است؛ در این میان، تنها 7 شرکت کارایی خود را حفظ کرده و سایر شرکتها نوسان عملکرد داشته‌اند. پرونده مقاله -
دسترسی آزاد مقاله
108 - ارزیابی کارایی فعالیتهای پژوهشی واحدهای دانشگاه آزاد اسلامی: رویکرد تحلیل پوششی دادهها
نقی شجاع محمد حسین درویش متولیچکیده با توجه به این که مأموریت حوزه پژوهشی دانشگاه‌ها و موسسات آموزشی، تألیف و تدوین فعالیتهای پژوهشی و یا ایجاد و توسعه علوم و تبدیل آن به فناوری است. ارزیابی عملکرد پژوهشی واحدهای دانشگاهی دارای اهمیت است. در این مقاله کارایی حوزه پژوهشی واحدهای منتخب دانشگاه آزاد چکیده کاملچکیده با توجه به این که مأموریت حوزه پژوهشی دانشگاه‌ها و موسسات آموزشی، تألیف و تدوین فعالیتهای پژوهشی و یا ایجاد و توسعه علوم و تبدیل آن به فناوری است. ارزیابی عملکرد پژوهشی واحدهای دانشگاهی دارای اهمیت است. در این مقاله کارایی حوزه پژوهشی واحدهای منتخب دانشگاه آزاد اسلامی طی سه دوره زمانی 92-1389 با استفاده از مدل بدون ورودی در تحلیل پوششی دادهها اندازه‌گیری و مورد مقایسه قرارگرفته است. بدین منظور، 5 شاخص مهم پژوهشی بر مبنای تکنیک دیماتل تعیین و در نظر گرفته شده است. کارایی واحدها با استفاده از مدل بدون ورودی و با نرم‌افزار تخصصی GAMS محاسبه و در نهایت برای رتبهبندی واحدها از روش رتبهبندی اندرسون - پترسون استفاده شده است. در دوره اول 4 واحد دانشگاهی (تاکستان، کرج، فیروزکوه و ورامین) کارا بوده‌اند، در دور دوم، 5 واحد (پرند، تاکستان، رودهن، کرج و فیروزکوه) کارا بوده‌اند و در نهایت در دوره سوم، 4 واحد (پرند، تاکستان، قزوین و فیروزکوه) به کارایی بالا دست یافته‌اند. پرونده مقاله -
دسترسی آزاد مقاله
109 - Ranking method for efficient units by RPA and TOPSIS in DEA
فرزاد رضائی بالفThis paper considers the rank of set efficient units in Data envelopment analysis (DEA). DEA measures the efficiency of decision making units (DMUs) within the range of less than or equal to one. The corresponding efficiencies are referred to as relative efficiencies, w چکیده کاملThis paper considers the rank of set efficient units in Data envelopment analysis (DEA). DEA measures the efficiency of decision making units (DMUs) within the range of less than or equal to one. The corresponding efficiencies are referred to as relative efficiencies, which describe the best performances of DMUs, and these efficient units determine efficiency frontier. This research proposes an extended on a current research by a technique for order preference by similarity to an ideal solution (TOPSIS) method. Therefore, in this paper, we first introduce two methods namely regular polygon area (RPA) and TOPSIS. Then using common set of weights in order to all efficient units obtained from DEA models, they are projected into two-dimensional plane. Finally, the units are ranked by RPA and TOPSIS methods. Also, with the numerical example, our method is compared with other methods. The obtained results of numerical example show that they are almost close to each of several methods. پرونده مقاله -
دسترسی آزاد مقاله
110 - An approach to rank efficient DMUs in DEA based on combining Manhattan and infinity norms
شکرالله زیاری مناف شریف زادهIn many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing int چکیده کاملIn many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing interest in improving discrimination power in DEA yet. The aim of this paper is ranking extreme efficient DMUs in DEA based on exploiting the leave-one out idea and combining of Manhattan and infinity norms with constant and variable returns to scale. The proposed method has been able to overcome the existing difficulties in some ranking methods. پرونده مقاله -
دسترسی آزاد مقاله
111 - Ranking efficient DMUs using the variation coefficient of weights in DEA
Mojtaba Ziari Shokrollah ZiariOne of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One چکیده کاملOne of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights. In this paper, it is introduced a nonlinear model for ranking efficient DMUs based on the minimizing the mean absolute deviation of weights and then we convert the nonlinear model proposed into a linear programming form. پرونده مقاله -
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112 - Ranking efficient DMUs using the infinity norm and virtual inefficient DMU in DEA
شکراله زیاری مناف شریف زادهIn many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same eff چکیده کاملIn many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The purpose of this paper is ranking extreme efficient DMUs in DEA based on exploiting the leave-one out and minimizing the maximum distance between DMU under evaluation and boundary efficient in input and output directions. The proposed method has been able to overcome the lacks of infeasibility and unboundedness in some DEA ranking methods. پرونده مقاله -
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113 - Ranking of bank branches with undesirable and fuzzy data: A DEA-based approach
سهراب کردرستمی علیرضا امیرتیموری منیره جهانی صیاد نویریBanks are one of the most important financial sectors in order to the economic development of each country. Certainly, efficiency scores and ranks of banks are significant and effective aspects towards future planning. Sometimes the performance of banks must be measured چکیده کاملBanks are one of the most important financial sectors in order to the economic development of each country. Certainly, efficiency scores and ranks of banks are significant and effective aspects towards future planning. Sometimes the performance of banks must be measured in the presence of undesirable and vague factors. For these reasons in the current paper a procedure based on data envelopment analysis (DEA) is introduced for evaluating the efficiency and complete ranking of decision making units (DMUs) where undesirable and fuzzy measures exist. To illustrate, in the presence of undesirable and fuzzy measures, DMUs are evaluated by using a fuzzy expected value approach and DMUs with similar efficiency scores are ranked by using constraints and the Maximal Balance Index based on the optimal shadow prices. Afterwards, the efficiency scores of 25 branches of an Iranian commercial bank are evaluated using the proposed method. Also, a complete ranking of bank branches is presented to discriminate branches. پرونده مقاله -
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114 - An input-oriented radial measure for returns to scale aggregation.
رضا کاظمی متین رزا عزیز مهدی میرجابریIn production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its چکیده کاملIn production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its input variables. In this regard, Data envelopment analysis (DEA) provides a com- prehensive framework for returns to scale evaluation. A sequence of attempts has been made on the subject of returns to scale in DEA literature which cause DEA to be ex- panded to widespread applications. Centralization of carried out studies in firm level, on one hand, and the importance of economical inter-operation in performance analysis in industry level, on the other hand, were the main motivation to start a new range of studies around identifying the return to scale in industry level. This paper collaborates interesting relations between firms and industry technology with performance analysis techniques to extract a relation between returns to scale status of firms and system-wide unit based on the reference set method. پرونده مقاله -
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115 - Inputs and Outputs Estimation in Inverse DEA
سعید قبادیThe present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencyle چکیده کاملThe present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs and outputs of the DMU increase? This question is considered as a problem of inverse data envelopment analysis, and a method is introduced toanswer this question. Using (weak) pareto solutions of multiple-objective linear programming, necessary and sufficient conditions for inputs and outputs estimation are established.An application of inverse DEA using real data (for choosing a suitable strategy for spreading educational departments in a university) is presented. In addition, two new optimal notions are introduced for multiple-objective programming problems: semi-pareto and semi-weak pareto optimal notions. The aforementioned solutions are used to answer the above question. پرونده مقاله -
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116 - Merging DMUs Based on of the idea Inverse DEA
الهه زین الدین سعید قبادیIn this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a p چکیده کاملIn this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how much should be the outputs/inputs of the merged DMU? This question answered according to the concept of inverse DEA. Sufficient conditions are established for input/output-estimation of the merged DMU using multiple-objective programming problems. A numerical example with real data is presented to illustrate the goals of this paper. پرونده مقاله -
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117 - Implementing Fuzzy DEA into the PEM Model for Performance Evaluation of Project-based Organizations: A case study
اویس ترابی محمّدمیلاد احمدی روح‌الله تولاییProject-based organizations in upstream industries hold a large share of national resources and play an important role in the development of a country. Performance evaluation of project-based organizations can help managers to use inputs effectively and smooth their way چکیده کاملProject-based organizations in upstream industries hold a large share of national resources and play an important role in the development of a country. Performance evaluation of project-based organizations can help managers to use inputs effectively and smooth their way to achieving goals. There are many qualitative and quantitative indices to performance evaluation of project-based organizations. Efficiency calculation through Data Envelopment Analysis (DEA) is a common index for performance assessment in such firms. In the traditional DEA model crisp data is needed while, in the real world, most of the data are imprecise and uncertain. A major cause of uncertainty related to the non-quantifiable, incomplete, and unachievable information that caused fuzzy logic and fuzzy sets merge in different models like DEA. The main idea of the present study is to combine quantitative and qualitative approaches in performance appraisal to take advantage of both and achieve more accurate results; therefore, in this paper, a hybrid model based on Fuzzy Data Envelopment Analysis (FDEA) and Project Excellence Model (PEM) is proposed for performance evaluation in project-based organizations. First, performance assessment by the PEM model of Fuzzy data is accomplished. Then, implementing Fuzzy DEA into the PEM model is performed in which the inputs and outputs of the FDEA model are the PEM model criteria. The proposed hybrid model is used to evaluate 30 petrochemical companies in Iran. The comparison of the results of both models indicates a correlation coefficient of almost 0.90 at the significance level of 0.01 that shows an appropriate correlation between the two models. پرونده مقاله -
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118 - A Bounded Additive Model for Efficiency Evaluation in Two-Stage Production Systems With Negative Data
حمیدرضا بابائی اصیل رضا کاظمی متین محسن خون سیاوش زهره مقدسData Envelopment Analysis (DEA) is a method for assessing the efficiency of Decision Making Units (DMUs). Traditional DEA models do not examine the potential differences between two stages caused by intermediate operations. As a result, DEA has been extended to evaluate چکیده کاملData Envelopment Analysis (DEA) is a method for assessing the efficiency of Decision Making Units (DMUs). Traditional DEA models do not examine the potential differences between two stages caused by intermediate operations. As a result, DEA has been extended to evaluate the efficiency of two-stage processes. In these processes, all outputs of the first stage are intermediate operations that comprise the inputs of the second stage. The input data in real-world applications may have negative values. In this study, considering the importance of network production processes, we deal with the efficiency evaluation of two-stage production units with negative data. Also, we extend CRS (constant returns to scale) bounded additive model for the efficiency evaluation of the two-stage units in the presence of negative data. For illustration, we evaluate the efficiency and ranking of 36 airlines by applying the new model. پرونده مقاله -
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119 - Eco-Efficiency in two-stage structure;A DDF Approach
منیره ذریه حبیب مهناز مقبولیThe importance of environment protection always raises a considerable among the researchers especially when pollutant and undesirable outputs are present. The non-parametric Data Envelopment Analysis (DEA) literature on network-structured performance analysis normally f چکیده کاملThe importance of environment protection always raises a considerable among the researchers especially when pollutant and undesirable outputs are present. The non-parametric Data Envelopment Analysis (DEA) literature on network-structured performance analysis normally fail to express the undesirable intermediate production in the process. From the production efficiency point of view, symmetrically handling both of the desirable and the undesirable outputs in the assessment process in the two stage network structure is developed in this paper. The motivation of this study is the application of the directional distance function (DDF) to modeling the two-stage network structure with the undesirable intermediate measures upon employing Stackelberg theory. A real case on the thirteen poultry units in Iran has been illustrated to verify the applicability of the proposed approach. پرونده مقاله -
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120 - Non-dominated DEA cross efficiency scores; a secondary goal approach
سعید شاه قبادی عباس قماشی فرهاد مرادیData envelopment analysis (DEA) is a non-parametric programming method for evaluating the relative efficiency of a set of peer decision-making units (DMUs) with multiple inputs and multiple outputs. The DEA cross-efficiency method is a well-known method that use to eval چکیده کاملData envelopment analysis (DEA) is a non-parametric programming method for evaluating the relative efficiency of a set of peer decision-making units (DMUs) with multiple inputs and multiple outputs. The DEA cross-efficiency method is a well-known method that use to evaluate and ranking a set of peer decision-making units. Whenever a DMU intends to evaluate other DMUs, it faces the problem of non-uniqueness optimal weights of DEA models. Because different weights give us different cross-scores and subsequently different cross-efficiencies scores and this will confuse the decision-maker to make an ultimate decision. The main drawback of this method is the alternate optimal solution set of the DEA model. The main purpose of this study is to propose an approach to this problem to generate non-dominated DEA cross-efficiency scores. We propose a linear programming secondary goal model to select a set of optimal weights for each DMU. Our proposed method is not only simpler than other methods presented with the same purpose, but also does not go beyond the main method. پرونده مقاله -
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121 - Evaluation of the Performance in Dynamic Network Data Envelopment Analysis with Undesirable Outputs
محمد نجاری الموتی رضا کاظمی متین محسن خون سیاوش زهره مقدسData Envelopment Analysis (DEA) is a mathematical technique to assess the performance of Decision Making Units (DMUs) with similar inputs and outputs. The traditional DEA models disregard the internal structure of units and have a “black box” view. Thus, to چکیده کاملData Envelopment Analysis (DEA) is a mathematical technique to assess the performance of Decision Making Units (DMUs) with similar inputs and outputs. The traditional DEA models disregard the internal structure of units and have a “black box” view. Thus, to evaluate the structures with more than one stage, the network DEA (NDEA) models expanded. On the other hand, the dynamic optimization models have been presented to eliminate the limitations of static models in optimization. In the article, for the first time, a systematic approach is used to present a dynamic NDEA with constant inputs and undesirable outputs. First, we used an axiomatic approach in DEA with undesirable output and presented an NDEA model with undesirable output. Then, we extended the proposed approach and presented a dynamic NDEA with undesirable output and a constant input. Afterward, we applied this model to evaluate hospitals’ performance in an experimental study to estimate the efficiency of their dynamic network. پرونده مقاله -
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122 - Efficiency Evaluation of Economic Enterprise in Presence of Interval Undesirable and Negative Data
MAHNAZ MAGHBOULI مهدی عینی فرهاد طاهر FATEMEH GHOMANJANIData envelopment analysis (DEA) as a non-parametric method has covered a wide range of applications in measuring comparative efficiency of decision making units (DMUs) with multiple incommensurate inputs and outputs. The standard DEA method requires that all input and o چکیده کاملData envelopment analysis (DEA) as a non-parametric method has covered a wide range of applications in measuring comparative efficiency of decision making units (DMUs) with multiple incommensurate inputs and outputs. The standard DEA method requires that all input and output variables be known as semi positive. In many real situations, the presence of undesirable and even negative data are inevitable. In DEA literature there have been various approaches to enable DEA to deal with negative data. On the other hand, the structure of interval data has recently attracted considerable attention among DEA researchers. According to importance of interval data, this paper proposes a radial measure which permits the presence of undesirable and negative data with interval structure. The proposed model can evaluate the efficiency of all DMUs and leads to improve the inefficient unit with interval negative and undesirable data. To elucidate the details of the proposed method an illustrative example of a private bank in IRAN explores the applicability of the proposed method. پرونده مقاله -
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123 - A new robust optimization approach to most efficient formulation in DEA
Reza Akhlaghi Mohsen Rostamy-Malkhalifeh Alireza Amirteimoori Sohrab KordrostamiIn this article, we investigate a new continuous linear model with constraints for the direct selection of the most efficient unit in the analysis of data coverage presented by Akhlaghi et al. (2021) on uncertainty robust optimization. Considering the importance of inco چکیده کاملIn this article, we investigate a new continuous linear model with constraints for the direct selection of the most efficient unit in the analysis of data coverage presented by Akhlaghi et al. (2021) on uncertainty robust optimization. Considering the importance of incorporating uncertainty into performance evaluation models in the real world and its increasing application in various problems, we propose a robust optimization approach. Given the discrete and non-convex nature of the introduced models for selecting the most efficient decision-making unit, examining the dual and finding an optimistic scenario is practically impossible. Therefore, by utilizing the linear model presented by Akhlaghi et al. (2021) with constraints for identifying the most efficient unit, we can investigate the robustness of the desired model using(BS )Bertsimas and Sim's (2004) robust estimation method while also considering uncertainty. We aim to demonstrate that employing a robust formulation leads to reliable performance in uncertain conditions پرونده مقاله -
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124 - Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)
ک. شاهرودی Sh. AssimiPerformance evaluation has been developed in the form of management schoolsalong by managerial thought development. Banks and financial institutes are oneof the most important economic sections to each country which by receipts andpayments directing and organizing facil چکیده کاملPerformance evaluation has been developed in the form of management schoolsalong by managerial thought development. Banks and financial institutes are oneof the most important economic sections to each country which by receipts andpayments directing and organizing facilitate business and commercialtransactions and develop markets and economic growth and as the main pillars indirecting and managing dispersed funds toward production units and regulatecash flow, have specific place in economic growth and inflation control.Therefore, it is necessary for banks to be aware about their branches efficiencyand take revision techniques into account for their future planning. In this paperBCC and CCR models (output-oriented) have been used to evaluate the efficiencyof 29 sample Saderat bank branches in Guilan Province. پرونده مقاله -
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125 - Improving supply chain collaborations and performance of inefficient supply chain
م. صانعی S. Mamizadeh-ChatghayehModern manufacturing enterprises are required to collaborate by theirbusiness partners through their business process operations such as design,manufacture, distribution, and aftersales services. And furthermore performanceevaluation is of great importance for effective چکیده کاملModern manufacturing enterprises are required to collaborate by theirbusiness partners through their business process operations such as design,manufacture, distribution, and aftersales services. And furthermore performanceevaluation is of great importance for effective supply chain management. Therefore, DEA can help companies to remove some of the inefficiencies in operational processes in order to become more effective. Thecurrent paper develops one approach for determining the DEA projectionsfor inefficient supply chains. Meanwhile this approach aims at providingan easy, efficient and more practical approach based on the performanceevaluation for the multi-member supply chain. And ultimately, this modelis illustrated by an numerical example of Chinese commercial bank, andcase study application to provide of machine-making supply chain. پرونده مقاله -
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126 - A statistical test for outlier identification in data envelopment analysis
Morteza Khodabin Reza Kazemi MatinIn the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly a چکیده کاملIn the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the presented method, each observation is deleted from the sample once and the resulting linear program is solved, leading to a distribution of efficiency estimates. Based on the achieved distribution, a pared test is designed to identify the potential outlier(s). We illustrate the method through a real data set. The method could be used in a first step, as an exploratory data analysis, before using any frontier estimation. پرونده مقاله -
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127 - A multi-objective model for closed-loop supply chain optimization and efficient supplier selection in a competitive environment considering quantity discount policy
Mustafa Jahangoshai Rezaee Samuel Yousefi Jamileh HayatiSupplier selection and allocation of optimal order quantity are two of the most important processes in closed-loop supply chain (CLSC) and reverse logistic (RL). So that providing high quality raw material is considered as a basic requirement for a manufacturer to produ چکیده کاملSupplier selection and allocation of optimal order quantity are two of the most important processes in closed-loop supply chain (CLSC) and reverse logistic (RL). So that providing high quality raw material is considered as a basic requirement for a manufacturer to produce popular products, as well as achieve more market shares. On the other hand, considering the existence of competitive environment, suppliers have to offer customers incentives like discounts and enhance the quality of their products in a competition with other manufacturers. Therefore, in this study, a model is presented for CLSC optimization, efficient supplier selection, as well as orders allocation considering quantity discount policy. It is modeled using multi-objective programming based on the integrated simultaneous data envelopment analysis–Nash bargaining game. In this study, maximizing profit and efficiency and minimizing defective and functions of delivery delay rate are taken into accounts. Beside supplier selection, the suggested model selects refurbishing sites, as well as determining the number of products and parts in each network’s sector. The suggested model’s solution is carried out using global criteria method. Furthermore, based on related studies, a numerical example is examined to validate it. پرونده مقاله -
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128 - Ranking efficient DMUs using minimizing distance in DEA
Shokrollah Ziari Sadigh RaissiIn many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same eff چکیده کاملIn many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. Hence, there is a growing interest in ranking techniques yet. The main purpose of this paper is to overcome the lack of infeasibility and unboundedness in some DEA ranking methods. The proposed method is for ranking extreme efficient DMUs in DEA based on exploiting the leave-one out and minimizing distance between DMU under evaluation and virtual DMU. پرونده مقاله -
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129 - Combining data envelopment analysis and multi-objective model for the efficient facility location–allocation decision
Jae-Dong Hong Ki‑Young JeongThis paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designi چکیده کاملThis paper proposes an innovative procedure of finding efficient facility location–allocation (FLA) schemes, integrating data envelopment analysis (DEA) and a multi-objective programming (MOP) model methodology. FLA decisions provide a basic foundation for designing efficient supply chain network in many practical applications. The procedure proposed in this paper would be applied to the FLA problems where various conflicting performance measures are considered. The procedure requires that conflicting performance measures classified as inputs to be minimized, or outputs to be maximized. Solving an MOP problem generates diverse alternative FLA schemes along with multi-objective values. DEA evaluates these schemes to generate a relative efficiency score for each scheme. Then, using stratification DEA, all of these FLA schemes are stratified into several levels, from the most efficient to the most inefficient levels. A case study is presented to demonstrate the effectiveness and efficiency of the proposed integrating method. We observe that the combined approach in this paper performs well and would provide many insights to academians as well as practitioners and researchers. پرونده مقاله -
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130 - Shapley value-based multi-objective data envelopment analysis application for assessing academic efficiency of university departments
Stephen Lloyd N. Abing Mercie Grace L. Barton Michael Gerard M. Dumdum Miriam F. Bongo Lanndon A. OcampoThis paper adopts a modified approach of data envelopment analysis (DEA) to measure the academic efficiency of university departments. In real-world case studies, conventional DEA models often identify too many decision-making units (DMUs) as efficient. This occurs when چکیده کاملThis paper adopts a modified approach of data envelopment analysis (DEA) to measure the academic efficiency of university departments. In real-world case studies, conventional DEA models often identify too many decision-making units (DMUs) as efficient. This occurs when the number of DMUs under evaluation is not large enough compared to the total number of decision variables. To overcome this limitation and reduce the number of decision variables, multi-objective data envelopment analysis (MODEA) approach previously presented in the literature is applied. The MODEA approach applies Shapley value as a cooperative game to determine the appropriate weights and efficiency score of each category of inputs. To illustrate the performance of the adopted approach, a case study is conducted in a university in the Philippines. The input variables are academic staff, non-academic staff, classrooms, laboratories, research grants, and department expenditures, while the output variables are the number of graduates and publications. The results of the case study revealed that all DMUs are inefficient. DMUs with efficiency scores close to the ideal efficiency score may be emulated by other DMUs with least efficiency scores. پرونده مقاله -
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131 - Scaling production and improving efficiency in DEA: an interactive approach
Wilhelm Ro¨dder Andreas Kleine Andreas DellnitzDEA models help a DMU to detect its (in-)efficiency and to improve activities, if necessary. Efficiency is only one economic aim for a decision-maker; however, up- or downsizing might be a second one. Improving efficiency is the main topic in DEA; the long-term strategy چکیده کاملDEA models help a DMU to detect its (in-)efficiency and to improve activities, if necessary. Efficiency is only one economic aim for a decision-maker; however, up- or downsizing might be a second one. Improving efficiency is the main topic in DEA; the long-term strategy towards the right production size should attract our attention as well. Not always the management of a DMU primarily focuses on technical efficiency but rather is interested in gaining scale effects. In this paper, a formula for returns to scale (RTS) is developed, and this formula is even applicable for interior points of technology. Particularly, technical and scale inefficient DMUs need sophisticated instruments to improve their situation. Considering RTS as well as efficiency, in this paper, we give an advice for each DMU to find an economically reliable path from its actual situation to better activities and finally to most productive scale size (mpss), perhaps. For realizing this path, we propose an interactive algorithm, thus harmonizing the scientific findings and the interests of the management. Small numerical examples illustrate such paths for selected DMUs; an empirical application in theatre management completes the contribution. پرونده مقاله -
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132 - Impact of information technology on productivity and efficiency in Iranian manufacturing industries
Amir Gholam Abri Mahmoud MahmoudzadehThe aim of this paper is to assess the impact of information technology (IT) on the productivity and efficiency of manufacturing industries in Iran. So, the data will be collected from 23 Iranian manufacturing industries during “2002–2006” and the meth چکیده کاملThe aim of this paper is to assess the impact of information technology (IT) on the productivity and efficiency of manufacturing industries in Iran. So, the data will be collected from 23 Iranian manufacturing industries during “2002–2006” and the methods such as DEA and panel data used to study the subject. Results obtained by the above two methods represent that IT has a positive and statistically significant effect on the productivity of manufacturing industries. It will be more in high IT-intensive industries than the other industries. But, there is no significant difference between the growth of labor productivity in IT-producing and IT-using industries. پرونده مقاله -
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133 - An integrated data envelopment analysis–artificial neural network approach for benchmarking of bank branches
Elsa Shokrollahpour Farhad Hosseinzadeh Lotfi Mostafa ZandiehEfficiency and quality of services are crucial to today’s banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more atte چکیده کاملEfficiency and quality of services are crucial to today’s banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement tool and finding benchmarks, it is on the other hand unable to demonstrate the possible future benchmarks. The drawback to it could be that the benchmarks it provides us with, may still be less efficient compared to the more advanced future benchmarks. To cover for this weakness, artificial neural network is integrated with DEA in this paper to calculate the relative efficiency and more reliable benchmarks of one of the Iranian commercial bank branches. Therefore, each branch could have a strategy to improve the efficiency and eliminate the cause of inefficiencies based on a 5-year time forecast. پرونده مقاله -
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134 - Finding stability regions for preserving efficiency classification of variable returns to scale technology in data envelopment analysis
P . Zamani M . BorzoueiThis paper addresses issue of sensitivity of efficiency classification of variable returns to scale (VRS) technology for enhancing the credibility of data envelopment analysis (DEA) results in practical applications when an additional decision making unit (DMU) needs to چکیده کاملThis paper addresses issue of sensitivity of efficiency classification of variable returns to scale (VRS) technology for enhancing the credibility of data envelopment analysis (DEA) results in practical applications when an additional decision making unit (DMU) needs to be added to the set being considered. It also develops a structured approach to assisting practitioners in making an appropriate selection of variation range for inputs and outputs of additional DMU so that this DMU be efficient and the efficiency classification of VRS technology remains unchanged. This stability region is simply specified by the concept of defining hyperplanes of production possibility set of VRS technology and the corresponding halfspaces. Furthermore, this study determines a stability region for the additional DMU within which, in addition to efficiency classification, the efficiency score of a specific inefficient DMU is preserved and also using a simulation method, a region in which some specific efficient DMUs become inefficient is provided. پرونده مقاله -
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135 - Robust DEA under discrete uncertain data: a case study of Iranian electricity distribution companies
Ashkan Hafezalkotob Elham Haji-Sami Hashem OmraniCrisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the real-world problems often deal with imprecise or ambiguous data. In this paper, we propose a novel robust data envelopment model (RDEA) to investigat چکیده کاملCrisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the real-world problems often deal with imprecise or ambiguous data. In this paper, we propose a novel robust data envelopment model (RDEA) to investigate the efficiencies of decision-making units (DMU) when there are discrete uncertain input and output data. The method is based upon the discrete robust optimization approaches proposed by Mulvey et al. (1995) that utilizes probable scenarios to capture the effect of ambiguous data in the case study. Our primary concern in this research is evaluating electricity distribution companies under uncertainty about input/output data. To illustrate the ability of proposed model, a numerical example of 38 Iranian electricity distribution companies is investigated. There are a large amount ambiguous data about these companies. Some electricity distribution companies may not report clear and real statistics to the government. Thus, it is needed to utilize a prominent approach to deal with this uncertainty. The results reveal that the RDEA model is suitable and reliable for target setting based on decision makers (DM’s) preferences when there are uncertain input/output data. پرونده مقاله -
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136 - Data envelopment analysis in service quality evaluation: an empirical study
Seyedvahid Najafi Saber Saati Madjid TavanaService quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept چکیده کاملService quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. We introduce the perceived service quality index (PSQI) as a single measure for evaluating the multiple-item service quality construct based on the SERVQUAL model. A slack-based measure (SBM) of efficiency with constant inputs is used to calculate the PSQI. In addition, a non-linear programming model based on the SBM is proposed to delineate an improvement guideline and improve service quality. An empirical study is conducted to assess the applicability of the method proposed in this study. A large number of studies have used DEA as a benchmarking tool to measure service quality. These models do not propose a coherent performance evaluation construct and consequently fail to deliver improvement guidelines for improving service quality. The DEA models proposed in this study are designed to evaluate and improve service quality within a comprehensive framework and without any dependency on external data. پرونده مقاله -
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137 - An alternative transformation in ranking using l1-norm in data envelopment analysis
S. ZiariJahanshahloo et al. (Appl Math Comput 153:215–224,2004) propose a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) using super-efficiency technique and l1-norm and they show that the presented method is able to چکیده کاملJahanshahloo et al. (Appl Math Comput 153:215–224,2004) propose a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) using super-efficiency technique and l1-norm and they show that the presented method is able to eliminate the existing difficulties in some methods. This paper suggests an alternative transformation to convert the nonlinear model proposed by Jahanshahloo et al. (Appl Math Comput 153:215–224,2004) into a linear programming form. The present paper shows that model with this transformation is equivalent to the above-mentioned nonlinear model. The motivation of this work is to linearize the proposed nonlinear model by Jahanshahloo et al. (Appl Math Comput 153:215–224,2004) which has the higher order of complexity. پرونده مقاله -
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138 - Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data
Saeid Jafarzadeh Ghoushchi Mehran Dodkanloi Milan Mustafa Jahangoshai RezaeeNowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpfu چکیده کاملNowadays, with respect to knowledge growth about enterprise sustainability, sustainable supplier selection is considered a vital factor in sustainable supply chain management. On the other hand, usually in real problems, the data are imprecise. One method that is helpful for the evaluation and selection of the sustainable supplier and has the ability to use a variety of data types is data envelopment analysis (DEA). In the present article, first, the supplier efficiency is measured with respect to all economic, social and environmental dimensions using DEA and applying imprecise data. Then, to have a general evaluation of the suppliers, the DEA model is developed using imprecise data based on goal programming (GP). Integrating the set of criteria changes the new model into a coherent framework for sustainable supplier selection. Moreover, employing this model in a multilateral sustainable supplier selection can be an incentive for the suppliers to move towards environmental, social and economic activities. Improving environmental, economic and social performance will mean improving the supply chain performance. Finally, the application of the proposed approach is presented with a real dataset. پرونده مقاله -
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139 - A full ranking method using integrated DEA models and its application to modify GA for finding Pareto optimal solution of MOP problem
S Razavyan GH TohidiThis paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutio چکیده کاملThis paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutions of a Multi Objective Programming (MOP) problem. The researchers have used ranking method as a shortcut way to modify GA to decrease the iterations of GA. The modified algorithm reduces the computational efforts to find Pareto optimal solutions of MOP problem and can be used to find Pareto optimal solutions of MOP with convex and non-convex efficient frontiers. An example is given to illustrate the modified algorithm. پرونده مقاله -
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140 - A novel three-stage distance-based consensus ranking method
Nazila Aghayi Madjid TavanaIn this study, we propose a three-stage weighted sum method for identifying the group ranks of alternatives. In the first stage, a rank matrix, similar to the cross-efficiency matrix, is obtained by computing the individual rank position of each alternative based on imp چکیده کاملIn this study, we propose a three-stage weighted sum method for identifying the group ranks of alternatives. In the first stage, a rank matrix, similar to the cross-efficiency matrix, is obtained by computing the individual rank position of each alternative based on importance weights. In the second stage, a secondary goal is defined to limit the vector of weights since the vector of weights obtained in the first stage is not unique. Finally, in the third stage, the group rank position of alternatives is obtained based on a distance of individual rank positions. The third stage determines a consensus solution for the group so that the ranks obtained have a minimum distance from the ranks acquired by each alternative in the previous stage. A numerical example is presented to demonstrate the applicability and exhibit the efficacy of the proposed method and algorithms. پرونده مقاله -
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141 - A profit Malmquist productivity index
GH Tohidi SH Razavyan S TohidniaIn some situations the producers desire to maximize total profit of Decision Making Units (DMUs) while the inputs and outputs prices of DMUs change from one time period to another. In this paper, the researchers develop productivity index when producers are going to max چکیده کاملIn some situations the producers desire to maximize total profit of Decision Making Units (DMUs) while the inputs and outputs prices of DMUs change from one time period to another. In this paper, the researchers develop productivity index when producers are going to maximize total profit when the price of inputs and outputs are known.The proposed method uses all price information about inputs and outputs for determining productivity index while previous methods use only cost of inputs to determine index of productivity .Therefore, the proposed Mulmquist productivity index in this paper is more precise than the other Mulmquist productivity index. Here, productivity change is decomposed into profit efficiency and profit technical change. Furthermore, profit efficiency change is decomposed into technical and allocative efficiency change and profit technical change into a part capturing shifts of input and output quantities and shifts of input and output prices. These decompositions provide a clearer picture of the root sources of productivity change. Finally, the proposed fractional programming problems are converted to the linear programming problems. By an illustrative example, we explain the proposed profit Malmquist productivity index. پرونده مقاله -
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142 - Non-discretionary imprecise data in efficiency Measurement
S Razavyan G TohidiThis paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-di چکیده کاملThis paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-discretionary imprecise data. When some inputs and outputs are imprecise and non-discretionary, the DEA model becomes non-linear programming problem. By a Theorem, we use the translation of imprecise data into exact data and then use the standard linear DEA model for evaluating DMUs with non-discretionary and imprecise data, which is the generalized form of envelopment form in input oriented of CCR model. To illustrate the proposed method, a numerical example with non-discretionary imprecise data is solved. پرونده مقاله -
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143 - Evaluation of scheduling solutions in parallel processing using DEA FDH model
GH.R Amin M.S Hosseini ShirvaniThis paper gives a new application of DEA to evaluate the scheduling solutions of parallel processing. It evaluates the scheduling solutions of parallel processing using the non-convex DEA model, FDH model. By introducing each solution of parallel processing scheduling چکیده کاملThis paper gives a new application of DEA to evaluate the scheduling solutions of parallel processing. It evaluates the scheduling solutions of parallel processing using the non-convex DEA model, FDH model. By introducing each solution of parallel processing scheduling as a DMU with some relevant inputs and outputs this paper shows that how the most efficient schedule(s) can be identified. پرونده مقاله -
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144 - A new approach to determine efficient DMUs in DEA models using inverse optimization
GH.R AminThis paper proposes a new approach for determining efficient DMUs in DEA models using inverse optimi-zation and without solving any LPs. It is shown that how a two-phase algorithm can be applied to detect effi-cient DMUs. It is important to compare computational perform چکیده کاملThis paper proposes a new approach for determining efficient DMUs in DEA models using inverse optimi-zation and without solving any LPs. It is shown that how a two-phase algorithm can be applied to detect effi-cient DMUs. It is important to compare computational performance of solving the simultaneous linear equa-tions with that of the LP, when computational issues and complexity analysis are at focus. پرونده مقاله -
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145 - تأثیر ادغام بر کارآیی بانک ها در ایران
حمید شهرستانی صغری قبادیهدف اصلی این پژوهش،بررسی عوامل موثر بر کارایی صنعت بانکداری در ایران است.بدین روی،برای اندازه گیری کارایی به دو روش ناپارامتری(DEA) و پارامتری (SFA) داده های تراز نامه بانک های تجاری،تخصصی و خصوصی در دوره 1380-1384 را مورد بررسی قرار داده ایم.در روش ناپارامتری نتایج حاص چکیده کاملهدف اصلی این پژوهش،بررسی عوامل موثر بر کارایی صنعت بانکداری در ایران است.بدین روی،برای اندازه گیری کارایی به دو روش ناپارامتری(DEA) و پارامتری (SFA) داده های تراز نامه بانک های تجاری،تخصصی و خصوصی در دوره 1380-1384 را مورد بررسی قرار داده ایم.در روش ناپارامتری نتایج حاصل میانگین کارایی اقتصادی،تخصصی و فنی سیستم بانکی در دوره مورد بررسی به ترتیب برابر با 56 درصد،77 درصد و 72 درصد است.در روش پارامتری متوسط کارایی سیستم بانکی در دوره مورد بررسی 34 درصد است.بر اساس نتایج مدل برآورد عوامل موثر بر کارایی نشان می دهد که کارایی بانکها با اندازه بانک ،دارایی کل و تمرکز رابطه منفی و با تعداد شعب نیروی انسانی تحصیل کرده ،نسبت تسهیلات به دارایی،ریسک اعتباری،سرمایه به دارایی و شاخص بانکداری الکترونیکی رابطه مثبت دارد.ادغام بانکها در شرایطی موجب افزایش کارایی میشود که بانک ناکاراتر در بانک کاراتر ادغام شود. پرونده مقاله -
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146 - پیش بینی پویا درماندگی مالی: مطالعه موردی
حمید رحیمی مهرزاد مینویی محمد رضا فتحیچکیده با توجه به شرایط اقتصادی امروز کشور، تعداد شرکتهای درمانده و اهمیت درماندگی مالی روزبه‌روز در حال افزایش است. افزایش عوامل اقتصادی تأثیرگذار بر درماندگی مالی نیز بر پیچیدگی تصمیم‌گیری در سرمایه‌گذاری این شرکتها افزوده است. به همین منظور رویکرد ارائه‌شده در این چکیده کاملچکیده با توجه به شرایط اقتصادی امروز کشور، تعداد شرکتهای درمانده و اهمیت درماندگی مالی روزبه‌روز در حال افزایش است. افزایش عوامل اقتصادی تأثیرگذار بر درماندگی مالی نیز بر پیچیدگی تصمیم‌گیری در سرمایه‌گذاری این شرکتها افزوده است. به همین منظور رویکرد ارائه‌شده در این پژوهش با در نظر گرفتن انواع معیارهای مالی، امکان پویاسازی پیش‌بینی درماندگی مالی را برای این تصمیم‌گیرندگان فراهم می سازد. رویکرد معرفی‌شده در این پژوهش ابتدا با خوشه‌بندی شرکت ها در خوشه متناسب درمانده مالی و غیر درمانده به کمک روش شبکه عصبی مصنوعی، نگاشت خودسازمان‌ده (SOM) اقدام و سپس با بهره‌گیری از روش تحلیل پوششی دادهها مبتنی بر بدترین عملکرد (WPF-DEA) نسبت به پیش‌بینی پویا درماندگی مالی شرکتهای پذیرفته‌شده در بورس اوراق بهادر تهران اقدام گردید. با بهره‌گیری از روش یادشده 105 شرکت ارزیابی گردید و نتیجه ناکارایی این شرکتها در طول 5 دوره زمانی از سال 1395 الی 1399 پیش‌بینی شد. مدل تحلیل پوششی داده‌های پویا مبتنی بر بدترین عملکرد، توان ارزیابی ناکارایی واحدهای مورد بررسی اعم از شرکتهای عضو سازمان بورس و اوراق بهادار را دارا است. تحلیل پوششی دادهها توانسته است به‌صورت موفقیت‌آمیزی درماندگی مالی شرکتها را به‌عنوان واحدهای تصمیم ناکارا شناسایی نماید پرونده مقاله -
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147 - ارائه مدل شبکهای تحلیل پوششی دادهها جهت ارزیابی کارایی اطلاعاتی واحدهای گزارشگر
صفدر علی پور اسفندیار ملکیان حسین فخاریچکیدههدف مقاله، توسعه مدلی جهت ارزیابی کیفیت اطلاعات واحدهای گزارشگر با استفاده از مدلسازی شبکهای تحلیل پوششی دادهها است. انگیزه پژوهش، ماهیت چندبعدی مفهوم کیفیت اطلاعات از منظر شاخصها و پیامدهای کیفیت اطلاعات و توانمندی مدلهای تحلیل پوششی دادهها در ارزیابی کارایی واحده چکیده کاملچکیدههدف مقاله، توسعه مدلی جهت ارزیابی کیفیت اطلاعات واحدهای گزارشگر با استفاده از مدلسازی شبکهای تحلیل پوششی دادهها است. انگیزه پژوهش، ماهیت چندبعدی مفهوم کیفیت اطلاعات از منظر شاخصها و پیامدهای کیفیت اطلاعات و توانمندی مدلهای تحلیل پوششی دادهها در ارزیابی کارایی واحدهای تصمیمگیرنده (در اینجا واحدهای گزارشگر) بر اساس ورودیها و خروجیهای چندگانه است. بر این اساس، مهمترین شاخصها و پیامدهای کیفیت اطلاعات، با استفاده از پیشینهپژوهی استخراج شده و بنا به ارتباط آنها با مفهوم کیفیت اطلاعات، در قالب ورودی و خروجی مراحل دوگانه پیامدی مدل شبکهای تحلیل پوششی دادهها قرار گرفته و کارایی اطلاعات واحدهای گزارشگر با استفاده همزمان از شاخصها و پیامدهای کیفیت اطلاعات اندازه گیری شده است. نتایج حاکی از تفاوت کارایی اطلاعات واحدهای گزارشگر در مراحل مختلف است که نشاندهنده ضعف دیدگاه سنتی مدلهای تحلیل پوششی دادهها در ارزیابی کارایی واحدهای تصمیمگیرنده است. افزون بر این، کارایی واحدها در مرحله شاخصهای کیفیت اطلاعات، بالاتر از کارایی آنها در مرحله تبدیل شاخصها به پیامدهای کیفیت اطلاعات است و کارایی شبکه که حاصل بهینهسازی تمام مراحل مجزای شبکه است، در جایی بین کارایی مراحل قرار میگیرد. از دیگر نتایج پژوهش علاوه بر ارائه یک رقم منحصر به فرد کارایی شبکه، توضیح دلایل ناکارایی شبکه و اجزا و معرفی الگوهای مرجع جهت بهینهسازی ورودیها و خروجیهای هر مرحله و تعیین مسیر دستیابی به مرز کارایی است. پرونده مقاله -
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148 - رابطه بین بیش‌اعتمادی مدیریت، مسئولیت‌پذیری اجتماعی، عملکرد شرکت و محدودیت‌های مالی
محدثه شقاقی شهناز مشایخچکیده هدف از انجام این مقاله بررسی رابطه بین بیش‌اعتمادی مدیریت و مسئولیت‌پذیری اجتماعی، بررسی رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت با نقش تعدیل‌کنندگی بیش‌اعتمادی مدیریت و بررسی رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت با نقشی تعدیل‌کنندگی محدودیت‌های م چکیده کاملچکیده هدف از انجام این مقاله بررسی رابطه بین بیش‌اعتمادی مدیریت و مسئولیت‌پذیری اجتماعی، بررسی رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت با نقش تعدیل‌کنندگی بیش‌اعتمادی مدیریت و بررسی رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت با نقشی تعدیل‌کنندگی محدودیت‌های مالی می‌باشد. تحقیق حاضر از منظر هدف از جمله تحقیقات کاربردی و از منظر ماهیت و روش، تحقیق توصیفی-همبستگی است . جامعه آماری این پژوهش شرکتهای پذیرفته شده در بورس اوراق بهادار تهران (شامل 522 شرکت) می‌باشد. بر اساس روش نمونه‌گیری حذف سیستماتیک تعداد 138 شرکت انتخاب شد. سپس با استفاده از داده های جمع‌آوری شده از نمونه آماری تحقیق، فرضیه های تحقیق مورد آزمون قرار گرفت. برای محاسبه بیش‌اعتمادی مدیران از معیار نسبت مخارج سرمایه‌ای استفاده گردید. در مورد متغیر مسئولیت اجتماعی، پس از اندازه‌گیری شاخصهای مسئولیت اجتماعی برای تعیین امتیاز ایفای مسئولیت اجتماعی شرکتهای عضو نمونه از روش تحلیل پوششی دادهها و نرم‌افزار شرکت بهین کارا پژوه استفاده شده است. نتایج نشان میدهد که بیش‌اعتمادی مدیران با مسئولیت‌پذیری اجتماعی شرکت رابطه مثبت و معنی‌داری دارد. همچنین بیش‌اعتمادی مدیریت رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت را تضعیف میکند و محدودیت‌های مالی رابطه بین مسئولیت‌پذیری اجتماعی و عملکرد شرکت را تعدیل نمی‌کند. پرونده مقاله -
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149 - واکاوی تأثیر بین کارایی سراسری و کارایی بخشی روشهای تأمین مالی از دیدگاه حاکمیت و ساکنان پهنه نابسامان میانی محدوده‌ها و محلات هدف بازآفرینی شهری مبتنی بر مدل تحلیل پوششی داده شبکهای فازی از نوع مقدار تعدیل‌شده دامنه (مطالعه موردی: محله جوانمرد قصاب شهر تهران)
سارا هداوند محمد ابراهیم محمدپورزرندی مهرزاد مینوییاین مقاله تحلیلی- توصیفی به دنبال تبیین تأثیر کارایی سراسری و بخشی حاکمیت و ساکنان به ازای روشهای تأمین مالی منتخب در محله جوانمرد قصاب است. جامعه آماری شامل کلیه املاک مسکونی واقع در این محله بوده که از میان آنها 50 پلاک همگن از لحاظ مساحت عرصه به روش نمونه‌گیری غیرتص چکیده کاملاین مقاله تحلیلی- توصیفی به دنبال تبیین تأثیر کارایی سراسری و بخشی حاکمیت و ساکنان به ازای روشهای تأمین مالی منتخب در محله جوانمرد قصاب است. جامعه آماری شامل کلیه املاک مسکونی واقع در این محله بوده که از میان آنها 50 پلاک همگن از لحاظ مساحت عرصه به روش نمونه‌گیری غیرتصادفی انتخاب گردید. به کمک مدل تحلیل پوششی داده شبکهای فازی از نوع مقدار تعدیل‌شده دامنه، کارایی سراسری و بخشی محاسبه و با بهره‌گیری از مدل تحلیل خوشه‌ای kمیانگین روشهای تأمین مالی از لحاظ کارایی بخشی در سه گروه دستهبندی شد. یافته‌های حاصل از ضریب همبستگی پیرسون و آزمون F تحلیل واریانس دوطرفه در محیط نرم‌افزار SPSS نشان میدهد که رابطه مستقیم و مثبتی بین کارایی کلی و بخشی ساکنان در تمام روشهای تأمین مالی با متوسط ضریب همبستگی 0.834 با سطح معناداری 99 درصد وجود دارد که نقش ساکنان را در فرآیند بهسازی و نوسازی برجسته‌تر می‌نماید. یافته‌ها بین کارایی کلی و حاکمیت رابطه مستقیم متوسط را با ضریب همبستگی متوسط 0.570 نشان میدهد. نتایج حاکی از آن است که بین کارایی بخشی ساکنان و حاکمیت رابطه معناداری وجود ندارد که نشان از عدم همسویی در تأمین مالی بین منافع دولت و مردم دارد. پرونده مقاله -
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150 - تدوین مدل ترکیبی سیستمهای شبیه‌سازی پویا و تحلیل‌پوششی‌داده‌های شبکهای جهت پیش‌بینی و ارزیابی عملکرد زنجیره‌تأمین‌خدمات(مطالعه موردی شعبه‌های تأمین اجتماعی هرمزگان)
طالب پرگر مرتضی شفیعی محمدعلی افشارکاظمی کیامرث فتحی هفشجانیسازمان تأمین‌اجتماعی محور اصلی بیمه در حوزه بخش خصوصی است و بزرگترین سازمان بیمه‌گر است و یکی از عمده‌ترین نهادهای اقتصادی است که وظیفه پشتیبانی و تأمین را برای دیگر مؤسسات اقتصادی، اجتماعی و خانوارها دارد. لذا به منظور خدمات‌رسانی مطلوب در سازمان تأمین اجتماعی، طراحی چکیده کاملسازمان تأمین‌اجتماعی محور اصلی بیمه در حوزه بخش خصوصی است و بزرگترین سازمان بیمه‌گر است و یکی از عمده‌ترین نهادهای اقتصادی است که وظیفه پشتیبانی و تأمین را برای دیگر مؤسسات اقتصادی، اجتماعی و خانوارها دارد. لذا به منظور خدمات‌رسانی مطلوب در سازمان تأمین اجتماعی، طراحی و اجرای سیستم ارزیابی عملکرد زنجیره‌تأمین‌خدمات مناسب برای آن الزامی است. به همین منظور در این پژوهش، جهت ارزیابی کارایی و سنجش عملکرد زنجیره‌تأمین‌خدمات در سازمان‌تامین‌اجتماعی از تکنیک تحلیل‌پوششی‌داده‌های شبکهای استفاده شده‌است. از آنجا که مدلهای تحلیل‌پوششی‌داده‌های مرسوم بر اساس اطلاعات تاریخی عمل میکنند، بزرگترین ضعف آنها تعیین کارایی واحدهای تصمیمگیرنده در گذشته هستند و چارچوبی برای آینده ارائه نمی‌کنند، لذا برای رفع این مشکل در این پژوهش و به منظور پیش‌بینی ورودیها و خروجی‌ها در زمان آینده از روش شبیه‌سازی پویایی‌های سیستم استفاده شده‌است. همچنین به منظور نشان دادن یافته‌های تئوریک حاصل از مدل جدید ارائه شده به صورت عملی، به پیش‌بینی رفتار و ارزیابی کارایی زنجیره‌تأمین‌خدمات 15 شعبه تامین‌اجتماعی استان هرمزگان در سه سال 95 تا 97 پرداخته شده‌است و نهایتا شعبه‌های کارا و ناکارا مشخص شدند و استراتژی‌های بهبود عملکرد را برای رسیدن به بهترین عملکرد شعبه‌های ناکارا روی مرز کارایی ارائه داده شدند. پرونده مقاله -
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151 - ارزیابی کارایی مؤسسات مالی با استفاده از یک مدل تحلیل پوششی داده ها مبتنی بر FDH (مطالعه موردی: بانک سامان)
حدیثه واحدی انور نرگس نوروزیامروزه سنجش و اندازه‌گیری کارایی یکی از مهمترین روشها و ﺷﺎﺧﺺﻫﺎی ﮐﻠﯿﺪی ارزیابی عملکرد در هر سازمانی می‌باشد. همچنین ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ همه جانبه بودن حوزه بانکداری، ﻣﯽﺗﻮان آنرا ﯾﮑﯽ از اﺻﻠﯽﺗﺮﯾﻦ ﻋﻮاﻣﻞ ﺑﺴﺘﺮﺳﺎز ﺗﻮﺳﻌﻪ اﻗﺘﺼﺎدی ﮐﺸﻮر معرفی کرد. در این مقاله، یک مدل شبکه تحلیل پوششی دا چکیده کاملامروزه سنجش و اندازه‌گیری کارایی یکی از مهمترین روشها و ﺷﺎﺧﺺﻫﺎی ﮐﻠﯿﺪی ارزیابی عملکرد در هر سازمانی می‌باشد. همچنین ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ همه جانبه بودن حوزه بانکداری، ﻣﯽﺗﻮان آنرا ﯾﮑﯽ از اﺻﻠﯽﺗﺮﯾﻦ ﻋﻮاﻣﻞ ﺑﺴﺘﺮﺳﺎز ﺗﻮﺳﻌﻪ اﻗﺘﺼﺎدی ﮐﺸﻮر معرفی کرد. در این مقاله، یک مدل شبکه تحلیل پوششی داده ها مبتنی بر FDH با در نظر گرفتن خروجی نامطلوب برای رسیدگی به وضعیت سپرده های مالی در شعبات بانک سامان ارائه میشود. مدل های پایه ای با چشم پوشی از روابط درونی در سیستم جریان فرآیند بانکی و با در نظر گرفتن خروجی و ورودی کلی، نسبت به محاسبه کارایی اقدام می کنند. از این رو در این مقاله، با در نظر گرفتن روابط درونی در سیستم، به ارائه یک مدل شبکه تحلیل پوششی داده ها برای محاسبه امتیاز کارایی شعب بانکی می‌پردازیم. سپس با مقایسه مدل پیشنهادی با مدل پایه CCR، دقت بالای مدل پیشنهادی نشان داده میشود. در نهایت، برای رتبه بندی واحدها از روش کارایی متقاطع استفاده میشود. پرونده مقاله -
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152 - An algorithm for determining common weights by concept of membership function
S. Saati N. NayebiData envelopment analysis (DEA) is a method to evaluate the relative efficiency of decision making units (DMUs). In this method, the issue has always been to determine a set of weights for each DMU which often caused many problems. Since the DEA models also have the mul چکیده کاملData envelopment analysis (DEA) is a method to evaluate the relative efficiency of decision making units (DMUs). In this method, the issue has always been to determine a set of weights for each DMU which often caused many problems. Since the DEA models also have the multi-objective linear programming (MOLP) problems nature, a rational relationship can be established between MOLP and DEA problems to overcome the problem of determining weights. In this study, a membership function was defined base on the results of CCR model and cross efficiency, and by using this membership function in a proposed model, we obtained a common set of weights for all DMUs. Finally, by solving a sample problem, the proposed algorithm was explained. پرونده مقاله -
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153 - A new approach Spider's web initial solution and data envelopment analysis for solving an $X$-bar control chart
K. Ranjbar H. Khaloozadeh A. Heydari$X$-bar control charts are widely used to monitor and control business and manufacturing processes. Design of control charts refers to the selection of parameters, including sample size, control-limit width, and sampling frequency. Many researchers have worked on this i چکیده کامل$X$-bar control charts are widely used to monitor and control business and manufacturing processes. Design of control charts refers to the selection of parameters, including sample size, control-limit width, and sampling frequency. Many researchers have worked on this issue and have also proposed various solutions. However, despite the numerous advantages, the proposed methods also have their own set of problems. The biggest challenge is the complexity of solving these issues. Due to the fact that optimal design of control charts can be formulated as a multi objective optimization problem, in this paper to solve this problem, we used initial solution Spider's web data envelopment analysis method. In previous methods used multiple algorithms to resolve the issue. But in the proposed method once using Data Envelopment Analysis method and without any other algorithm can solve multi objective problem and this method can yield desirable efficient. Lastly, we compare our method with others and demonstrate its application in a real industrial context. پرونده مقاله -
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154 - A generalized cost Malmquist index to compare the productivities of units with negative data in DEA
G. Tohidi S. Razavyan S. TohidniaIn some data envelopment analysis (DEA) applications, some inputs of DMUshave negative values with positive cost. This paper generalizes the global cost Malmquistproductivity index to compare the productivity of di erent DMUs with negative inputs inany two periods of ti چکیده کاملIn some data envelopment analysis (DEA) applications, some inputs of DMUshave negative values with positive cost. This paper generalizes the global cost Malmquistproductivity index to compare the productivity of di erent DMUs with negative inputs inany two periods of times under variable returns to scale (VRS) technology, and then thegeneralized index is decomposed to several components. The obtained components are computed using the nonparametric linear programming models, known as DEA. To illustrate thegeneralized index and its components, a numerical example at three successive periods oftime is given. پرونده مقاله -
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155 - SENSITIVITY ANALYSIS OF EFFICIENT AND INEFFICIENT UNITS IN INTEGER-VALUED DATA ENVELOPMENT ANALYSIS
Shokoofeh Banihashemi Ghasem Tohidi Masoud SaneiOne of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity analysis of ecient DMUs,the largest region should be found namely stability region tha چکیده کاملOne of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity analysis of ecient DMUs,the largest region should be found namely stability region thatdata variations are only for ecient DMU under evaluation and the data for the remainingDMUs are assumed xed. Also ecient DMU under evaluation remains ecient with thesevariations. In sensitivity analysis of inecient DMU, it can obtain an eciency score whichis de ned by the manager. In traditional DEA we assume that all inputs and outputs are realamounts and consider continuous inputs and outputs. Although,there are some applicationsin which one or more inputs and/or outputs can only take integer quantities. In this paper,we obtain the stability region for ecient DMU and the eciency score of a speci c inecientDMU changes to a de ned eciency score by management, with integer data پرونده مقاله -
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156 - IMPRECISE DATA ENVELOPMENT ANALYSIS APPROACH IN PERFORMANCE EVALUATION OF SUPPLY CHAIN
S. Mamizadeh Chatghayeh V. AbbasiSpurred by intensifying competition in global markets, most companies have been increasingly implementing supply chain management (SCM) and information systems (IS) practices. As well, globalization policies have created a more intensive competition amongst manufacturer چکیده کاملSpurred by intensifying competition in global markets, most companies have been increasingly implementing supply chain management (SCM) and information systems (IS) practices. As well, globalization policies have created a more intensive competition amongst manufacturers; in additional the priority of supply over demand, market competition and importance of some factor such as quality, accountability has encouraged companies to integrate their activities using SCM. Performance measurement of supply chain management reflects the need for improvement in operational areas which are found wanton in performance measures. In addition to the results obtained from the evaluation of supply chain performance based on inner changed data can help the integration of supply chain activities and their inner changed data through improving the chain relations and it satisfies customers. In addition, Supply chain (SC) performance evaluation problems cover a wide range from evaluating the performance of independent organizations among supply chains to evaluating the performance of a whole supply chain system. Therefore, in this paper, as regards, performance evaluation is of great importance for effective supply chain management, it has been tried to evaluate supply chain performance by both exact and interval data. This model is illustrated by a numerical example. پرونده مقاله -
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157 - A NON-RADIAL ROUGH DEA MODEL
Gh. Tohidi P. ValizadehThere are situations that Decision Making Units (DMU’s) have uncertain information and their inputs and outputs cannot alter redially. To this end, this paper combines the rough set theorem (RST) and Data Envelopment Analysis (DEA) and proposes a non-redial Rough- چکیده کاملThere are situations that Decision Making Units (DMU’s) have uncertain information and their inputs and outputs cannot alter redially. To this end, this paper combines the rough set theorem (RST) and Data Envelopment Analysis (DEA) and proposes a non-redial Rough-DEA (RDEA) model so called additive rough-DEA model and illustrates the proposed model by a numerical example. پرونده مقاله -
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158 - DEA-Based Evaluation of the Oil Prices Effect on Industry: A Case Study of the Stock Exchange
Ali Taherinezhad alireza alinezhadThis paper evaluates the impact of oil prices on the industry and the total index of the Tehran Stock Exchange. In addition, the impact of oil shocks on the Tehran Stock Exchange is also studied. The analyzed data are the weekly crude oil price data in the industry چکیده کاملThis paper evaluates the impact of oil prices on the industry and the total index of the Tehran Stock Exchange. In addition, the impact of oil shocks on the Tehran Stock Exchange is also studied. The analyzed data are the weekly crude oil price data in the industry and the index of the Tehran Stock Exchange during the 10-year period from 2005 to 2015. For data analysis, this paper proposes an appropriate mathematical model based on the non-parametric technique of data envelopment analysis (DEA), which is a powerful mathematical tool for ranking decision-making units (DMUs). Ultimately, we used the proposed model to calculate the efficiency and ranking of 10 companies active in the food and beverage industry (except for the sugar group) and analyzed the results with the CCR model. Following that, the final ranking was done using the weighted average method. According to the results of the research, Mahram Production Group Company was ranked 1st in the weighted average method, and Shir Pegah West Azerbaijan was ranked second, and Nab Industrial Companies, Pars Livestock Feed, Georgian Biscuits, Iran Behnoosh, Pak Dairy, Behpak, Salemeen and Shir Pegah Isfahan ranked 3rd to 10th , respectively. پرونده مقاله
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