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The development of a green supply chain dual-objective facility by considering different levels of uncertainty

机译:考虑不同程度的不确定性,开发绿色供应链双目标设施

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This paper presents a dual-objective facility programming model for a green supply chain network. The main objectives of the presented model are minimizing overall expenditure and negative environmental impacts of the supply chain. This study contributes to the existing literature by incorporating uncertainty in customer demand, suppliers, production, and casting capacity. An industrial case study is also analyzed to reveal the feasibility of the proposed model and its application. A fuzzy approach which is known as TH is used to solve the suggested dual-objective model. TH approach is integration of a max–min method (LH) and modified version of Werners’ approach (MW). The outcome of this study reveals that the presented model can support green supply chain network in different levels of uncertainty. In presented model, cost and negative environmental impacts derived from the supply chain network will increase of higher levels of uncertainty.
机译:本文提出了一种绿色供应链网络的双目标设施规划模型。提出的模型的主要目标是最大程度地减少总支出和对供应链的负面环境影响。这项研究通过结合客户需求,供应商,生产和铸造能力的不确定性为现有文献做出了贡献。还对工业案例进行了分析,以揭示该模型及其应用的可行性。一种称为TH的模糊方法用于解决建议的双目标模型。 TH方法是最大-最小方法(LH)和Werners方法(MW)的改进版本的集成。这项研究的结果表明,所提出的模型可以在不同程度的不确定性下支持绿色供应链网络。在提出的模型中,来自供应链网络的成本和负面环境影响将在更高的不确定性水平上增加。

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