Towards Supply Chain Planning Integration: Uncertainty Analysis Using Fuzzy Mathematical Programming Approach in a Plastic Forming Company
- سال انتشار: 1396
- محل انتشار: مجله ایرانی مطالعات مدیریت، دوره: 10، شماره: 2
- کد COI اختصاصی: JR_JIJMS-10-2_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 183
نویسندگان
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran
چکیده
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)اطلاعات بیشتر در مورد COI
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