TY - JOUR ID - 4411 TI - Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Nobari, Arash AU - Kheirkhah, Amirsaman AD - Industrial Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran Y1 - 2018 PY - 2018 VL - 25 IS - 1 SP - 410 EP - 430 KW - Dynamic supply chain network design KW - Integrated planning KW - Sustainability KW - Pricing KW - Pareto-based multi-objective metaheuristic algorithm DO - 10.24200/sci.2017.4411 N2 - In this paper, a novel multi-objective model for dynamic and integrated network design of sustainable closed-loop supply chain network is proposed, which aims to optimize economic, environmental, and social concerns, simultaneously. In order to have a dynamic design, multiple strategic periods are considered during the planning horizon. Furthermore, different short-term decisions are integrated with long-term decisions related to the network design problem. Two of these short-term decisions are determining selling price of products in forward logistics and buying price of used products from customer zones in reverse logistics. Based on the complexity of proposed multi-objective model, a multi-objective imperialist competitive algorithm (MOICA) is proposed to solve the model, and the results are compared with a non-dominated sorting genetic algorithm (NSGA-II). Finally, to evaluate the performance of proposed algorithm, several numerical examples are used, which the results indicate the efficiency of the proposed algorithm. UR - https://scientiairanica.sharif.edu/article_4411.html L1 - https://scientiairanica.sharif.edu/article_4411_6b9d84032eb1b6e926b98b7d767a9250.pdf ER -