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- W2769678620 abstract "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." @default.
- W2769678620 created "2017-12-04" @default.
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- W2769678620 date "2017-09-02" @default.
- W2769678620 modified "2023-10-18" @default.
- W2769678620 title "Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing" @default.
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- W2769678620 doi "https://doi.org/10.24200/sci.2017.4411" @default.
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