تحلیل کتابسنجی توسعه سیستم های پشتیبان تصمیم برای مدیریت زنجیره تامین
محورهای موضوعی : مدیریت عملیات
پیمان ابراهیمی زنگلانی
1
,
هیرو عیسوی
2
,
رضا رستم زاده
3
*
1 - گروه مدیریت، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران.
2 - گروه مدیریت، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران.
3 - گروه مدیریت، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران.
کلید واژه: سیستم های پشتیبان تصمیم, زنجیره تامین, کتاب سنجی, آنالیز داده ها. ,
چکیده مقاله :
بررسی متون سیستماتیک در زنجیره تأمین و سیستم پشتیبانی تصمیم، به سرعت در دهه گذشته انجام شده است. با این حال، مطالعاتی در مورد پیشرفت عمیق و سریع سیستم پشتیبانی تصمیم مرتبط با زنجیره تأمین هنوز وجود ندارد. این مطالعه با هدف ارائه اطلاعات جامع در مورد روندها، روش‌ها و کاربردها در بخش‌ها و پلتفرم‌های مختلف مورد استفاده دانشمندان برای ساخت سیستمهای پشتیبانی تصمیم خود در مدیریت زنجیره تأمین است. محقق با بکارگیری روش کتابسنجی به تجزیه و تحلیل و مطالعات پیشین پرداخته است. جامعه آماری پژوهش، مطالعات مرتبط با موضوع پژوهش بوده و ابزار گردآوری اطلاعات، مطالعات دادههای ثانویه کتابخانهای است. در این راستا 152 پژوهش در حوزه سیستم پشتیبان تصمیم و زنجیره تأمین مربوط به سال های 2011 تا 2024 انتخاب شد که در نهایت 97 مقاله در راستای هدف مطالعه مورد ارزیابی قرار گرفته شد. در این مطالعه از کلمات کلیدی مختلفی برای جمع‌آوری دادههای خام بر اساس مقالات منتشر شده در مجلات معروف دنیا استفاده کردیم تا مطالعات واجد شرایطی را انتخاب کنیم که در حوزه پژوهش باشند. دادهها با استفاده از ابزار کتابسنجی در VOSviewer و نرمافزار Excel پردازش شدند. نتایج این بررسی سیستماتیک برخی از مطالعات پیشنهاد شده در خصوص نحوه بکارگیری سیستمهای پشتیبان تصمیم در زنجیره را تامین کرده و همچنین زمینه‌ای برای تحقیقات آینده مرتبط با این زمینه‌ها فراهم می‌کند.
Systematic literature review in supply chain and decision support system has been carried out rapidly in the past decade. However, studies on the deep and rapid development of decision support system related to supply chain are still lacking. This study aims to provide comprehensive information on trends, methods and applications in different sectors and platforms used by scientists to build their decision support systems in supply chain management. The researcher analyzed and analyzed previous studies using bibliometric method. The statistical population of the study is studies related to the research topic and the data collection tool is secondary library data studies. In this regard, 152 studies in the field of decision support system and supply chain related to the years 2011 to 2024 were selected, and finally 97 articles were evaluated in line with the study objective. In this study, we used various keywords to collect raw data based on articles published in world-renowned journals to select eligible studies that are in the research field. The data were processed using bibliometric tool in VOSviewer and Excel software. The results of this systematic review provide some suggested studies on how to apply decision support systems in supply chains and also provide a basis for future research related to these areas.
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