ارائه ی مدل ترکیبی از متوسط وزنی فازی مبتنی بر امتیازات چپ و راست و سلسله مراتبی فازی برای مکانیابی انبار کارخانه

الموضوعات :

Jalal Rezaeenour ¹ ( Assistant Professor Department of Industrial Engineering, University of Qom, Iran )
Mona Torabi ² ( Ms.c of Industrial Engineering, Department of Industrial Engineering, University of Qom, Iran )
Nahid Babaie ³ ( Ms.c of Industrial Engineering, Department of Industrial Engineering, University of Qom, Iran )

تاريخ الإرسال : 11 السبت , جمادى الأولى, 1437 تاريخ التأكيد : 13 الإثنين , شوال, 1437 تاريخ الإصدار : 22 الخميس , ذو القعدة, 1437

الکلمات المفتاحية: رتبه بندی, Reverse logistics, مکان یابی, Prioritizing, وزن دهی, سلسله مراتبی فازی, متوسط فازی مبتنی بر امتیازات چپ و راست, Multi-Criteria Decision Making Approach, Fuzzy Network Analysis Process,

ملخص المقالة :

تعیین محل بخش های مختلف کارخانه، یکی از کلیدی‌ترین گامهای تأسیس و با مدیریت صحیح جریان مواد و محصولات کارخانجات می باشد . به دلیل ساختار و شرایط موجود، بسیاری از کارخانه های موجود در کشور پس از چند سال ممکن است نیازمند گسترش مساحت و یا افزایش تولید و یا حتی بازنگری در ساختار سنتی گذشته باشند؛ و لذا نیازمند تغییرات در ساختار مکانی و یا ایجاد مکان های جدید می باشد. لذا هدف از این پژوهش ارائه مدلی جدید برای حل مسائل مکانیابی می باشد. به این منظور برای وزن دهی و رتبه بندی روش ترکیبی جدیدی از سلسله مراتبی فازی (AHP فازی ) و متوسط فازی مبتنی بر امتیازات چپ و راست ( FWA ) ارائه گردیده است. که به طور موردی در این پژوهش مکان یابی یک بخش از کارخانه تولید لوازم خانگی مورد بررسی قرار گرفته است. در کارخانه مورد بررسی به دلیل تصمیم مدیریت مبنی بر تولید داخلی برخی از قطعاتی که تا کنون به صورت قطعه نهایی از کشورهای خارجی دریافت می گردیده است ، برخی از سوله هایی که در گذشته به عنوان انبار برای انباشت قطعات مورد استفاده قرار می گرفته است اکنون به عنوان محل نصب دستگاههای جدید مورد استفاده قرار خواهد گرفت و لذا بایستی به دنبال مکانی جدید در کارخانه به منظور انبار کردن قطعات بود. تا هم بتوان از فضای موجود به صورت بهینه استفاده نمود و هم هزینه های مرتبط با آن را به حداقل ممکن کاهش داد .که به این منظور ابتدا جلساتی در سطوح کارشناسان و مدیران به منظور تعیین پارامترهای مهم برای انتخاب، صورت گرفته و سپس با استفاده از مدل ارائه شده به حل مساله مورد نظر پرداخته شد.

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