Towards Supply Chain Planning Integration: Uncertainty Analysis Using Fuzzy Mathematical Programming Approach in a Plastic Forming Company
محل انتشار: مجله ایرانی مطالعات مدیریت، دوره: 10، شماره: 2
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 172
فایل این مقاله در 30 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JIJMS-10-2_003
تاریخ نمایه سازی: 23 شهریور 1401
چکیده مقاله:
Affected by globalization and increased complexity, supply chain managers have learned about the importance of Sales and Operations Planning (S&OP). However, in large scale supply chains, S&OP has received little attention, by both academics and practitioners. The purpose of this manuscript is to investigate the advantages of S&OP process using a mathematical modeling approach in a large scale plastic forming company. Three Fuzzy Mixed Integer Linear Programming (f-MILP) models were developed in this article for this reason: A Fully Integrated S&OP (FI-S&OP) model, a Partially Integrated S&OP (PI-S&OP) model, and a decoupled planning (DP) model. Also, Triangular Fuzzy Numbers (TFNs) are utilized to represent uncertainty and vagueness associated with real world operations. All the models are developed for a multi-site manufacturing company, which is coping with different raw material suppliers and Third Party Logistics (۳PLs), Distribution Centers (DCs), and customers with a wide range of product families. Finally, all the models are applied in a real case in a plastic manufacturing company in Iran. The results demonstrate the superiority of FI-S&OP over other models.
کلیدواژه ها:
Fuzzy Mixed Integer Linear Programming (f-MILP) ، Make to stock ، Plastic forming industry ، Sales and Operations planning (S&OP)
نویسندگان
یاسر نعمتی
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
مهرداد مدهوشی
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
عبدالحمید صفایی قادیکلایی
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :