TY - JOUR ID - 21531 TI - A multi-stage stochastic programming model for sustainable closed-loop supply chain network design with financial decisions: A case study of plastic production and recycling supply chain JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Mohammadi, A.S. AU - Alemtabriz, A. AU - Pishvaee, M.S. AU - Zandieh, M. AD - Department of Industrial Management, Faculty of Management and Accounting, University of Shahid Beheshti, Tehran, Iran. AD - School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran. Y1 - 2020 PY - 2020 VL - 27 IS - 1 SP - 377 EP - 395 KW - Supply chain management KW - Sustainability KW - stochastic programming KW - supply chain network design KW - multi-objective optimization DO - 10.24200/sci.2019.21531 N2 - This paperproposes a multi-objective, multi-stage programming model to design a sustainable closed-loop supply chain network considering financial decisions. A multi-product, sustainable closed-loop plastic supply chain network design problem which encompasses economic, environmental and social objectives is modeled in a mathematical manner. The decisions to be made are concerned with location of facilities; the flow of products, loans to take and investments to make. Uncertainty issue is about demand of customers and investment's rate of return. The decision making model is formulated as a multi-objective, multi-stage mixed integer linear programming problem and is solved by implementing path formulation and augmented Ɛ-constraint methods. Computational analysis, is provided based on the subject company to determine the significance of the proposed model and the efficiency regarding integrating financial decisions with supply chain network design decisions. UR - https://scientiairanica.sharif.edu/article_21531.html L1 - https://scientiairanica.sharif.edu/article_21531_c87470533bb79b8306078e6462c29247.pdf ER -