Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing |
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| Affiliation: | 1. Department of Business Administration, University of Gaziantep, 27310 Gaziantep, Turkey;2. Southampton Management School, Faculty of Business & Law, University of Southampton, Highfield, Southampton SO17 1BJ, UK;3. Department of Industrial Engineering, Selçuk University, Campus, 42031 Konya, Turkey;1. The School of Industrial and System Engineering, The University of Oklahoma, Norman, OK, USA;2. Department of Management, Kingston Business School, Kingston University, Kingston Upon Thames, UK;3. Institute of Transport and Logistics Studies, The University of Sydney Business School, Sydney, Australia;4. Department of Business and Economics, University of Southern Denmark, Odense 5230, Denmark;5. Department of Industrial Engineering and Operations Management, Koç University, Turkey;1. Department of Operational Research, University of Delhi, Delhi, India;2. Department of Technology and Innovation, University of Southern Denmark, Odense M, Denmark;3. Department of Engineering Systems and Management, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates;1. Department of Industrial and System Engineering, Indian Institute of Technology, Kharagpur 721302, West Bengal, India;2. Nottingham University Business School China, The University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315 100, Zhejiang, China;3. School of Economics, The University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315 100, Zhejiang, China;1. Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran;2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran |
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| Abstract: | This paper describes an integrated model that jointly optimizes the strategic and tactical decisions of a closed-loop supply chain (CLSC). The strategic level decisions relate to the amounts of goods flowing on the forward and reverse chains. The tactical level decisions concern balancing disassembly lines in the reverse chain. The objective is to minimize costs of transportation, purchasing, refurbishing, and operating the disassembly workstations. A nonlinear mixed integer programming formulation is described for the problem. Numerical examples are presented using the proposed model. |
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| Keywords: | Nonlinear mixed integer programming Closed-loop supply chain network design Disassembly line balancing |
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