University of Tehran Press Interdisciplinary Journal of Management Studies 2981-0795 10 2 2017 04 01 Towards Supply Chain Planning Integration: Uncertainty Analysis Using Fuzzy Mathematical Programming Approach in a Plastic Forming Company به‌سوی یکپارچه‌سازی برنامه‌ریزی زنجیرة تأمین: تحلیل عدم قطعیت با استفاده از رویکرد برنامه‌ریزی ریاضی فازی در شرکت فرمینگ پلاستیک 335 364 61903 10.22059/ijms.2017.218842.672334 EN Yaser Nemati Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran Mehrdad Madhoushi Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran Abdolhamid Safaei Ghadikolaei Department of Industrial Management, Faculty of Economics and Administrative Science, University of Mazandaran, Babolsar, Iran Journal Article 2016 11 02 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 (3PLs), 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. https://ijms.ut.ac.ir/article_61903_fdbfcc62f7cdd1461c163c3ce2019ca2.pdf