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• W3048694900 startingPage "106716" @default.
• W3048694900 abstract "Abstract Nowadays, the importance of sustainable development has persuaded the supply chain managers to shift their network to sustainable supply. This research develops a multi-objective mathematical model to configure a Sustainable Closed-Loop Supply Chain (SCLSC) network for a water tank considering sustainability measures. The goals of the proposed model are optimizing financial, environmental and social impacts of the SCLSC. Generally, the uncertainty exists in configuring the SCLSC network problem according to the changes in the business environment (like transportation costs and demand). As a result, a Fuzzy Robust Optimization (FRO) is applied to cope with uncertainty in this study. Then, the proposed model is solved using the goal programming approach. The numerical results showed some insightful observations regarding planning and strategic decisions for the SCLSC network design. Finally, several sensitivity analyses are carried out on some important parameters, the changes in objective functions are investigated and the robustness of the proposed model is examined." @default.
• W3048694900 created "2020-08-18" @default.
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• W3048694900 date "2020-10-01" @default.
• W3048694900 modified "2023-10-11" @default.
• W3048694900 title "Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design" @default.
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• W3048694900 doi "https://doi.org/10.1016/j.cie.2020.106716" @default.
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