Benders decomposition algorithm for a green closed-loop supply chain under a build-to-order environment
Nowadays, researches pay more attention to environmental concerns consisted of various communities. This study proposes a multi-echelon, multi-period closed-loop supply chain (CLSC). A comprehensive model considers the selection of selection of technology and environmental effects. The supply chain is under a build-to-order (BTO) environment. So, there is not a final product inventory. Also, the returned products disassembled into reused components. The bi-objective mixed-integer linear problem is solved by a Benders decomposition algorithm by validating some numerical experiments. The convergence is also shown in the property.
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Sustainable Multi-Objective Mathematical Modeling for Selecting a Technology Transfer Method in the Automotive Battery Industry
Amirhossein Latifian, Reza Tavakkoli-Moghaddam *, Masoud Latifian, Mahdi Kashani
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Arman Gholinezhad Paji*, Ali Borozgi Amiri,
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Journal of Applied Research on Industrial Engineering, Spring 2024 -
Fuzzy multi-objective programming to optimize closed-loop supply chain problem considering cloud management
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Journal of Quality Engineering and Production Optimization, Winter-Spring 2024