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A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty
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نویسنده
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khodadadian d. ,radfar yz r. ,tolooee eshlaghi a.
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منبع
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international journal of industrial mathematics - 2022 - دوره : 14 - شماره : 3 - صفحه:319 -337
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چکیده
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Abstractincreasing environmental pollution, which causes global warming and endangers human health and environmental degradation, has led to the concern of many supply chain managers and designers. the purpose of this research is to provide a mathematical model for designing the purchase, production, and distribution in a multi-level and multi-product supply chain network such that the environmental impact and total costs of supply chain is minimized and the customers’ satisfaction level is maximized. due to the unspecified demands level, demand uncertainty has been considered in the problem. re-garding the complexity of the proposed mathematical model and difficulties in solving the problem with exact methods in large size, a nsga ii has been proposed. to evaluate the proposed nsga ii, five sample instances are generated in different size and solved by epsilon constraints method and nsga ii. according to the results, the proposed nsgaii is a reliable method to find efficient pareto frontiers in a reasonable time.
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کلیدواژه
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Green Supply Chain; Multi-Objective Optimization; Non-Dominated Sorting Genetic Algorithm; Uncertainty; Epsilon Constraint.
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آدرس
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islamicazad university , doroud branch, department of management, Iran, science and research branch, islamic azad university, management and economic department, Iran, islamic azad university, science and research branch, management and economic department, Iran
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Authors
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