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A three-stage model for closed-loop supply chain configuration under uncertainty

机译:不确定性下闭环供应链配置的三阶段模型

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摘要

In this paper, a general closed-loop supply chain (CLSC) network is configured which consists of multiple customers, parts, products, suppliers, remanufacturing subcontractors, and refurbishing sites. We propose a three-stage model including evaluation, network configuration, and selection and order allocation. In the first stage, suppliers, remanufacturing subcontractors, and refurbishing sites are evaluated based on a new quality function deployment (QFD) model. The proposed QFD model determines the relationship between customer requirements, part requirements, and process requirements. In addition, the fuzzy sets theory is utilised to overcome the uncertainty in the decision-making process. In the second stage, the closed-loop supply chain network is configured by a stochastic mixed-integer nonlinear programming model. It is supposed that demand is an uncertain parameter. Finally in the third stage, suppliers, remanufacturing subcontractors, and refurbishing sites are selected and order allocation is determined. To this end, a multi-objective mixed-integer linear programming model is presented. An illustrative example is conducted to show the process. The main novel innovation of the proposed model is to consider the CLSC network configuration and selection process simultaneously, under uncertain demand and in an uncertain decision-making environment.
机译:在本文中,配置了一个通用的闭环供应链(CLSC)网络,该网络由多个客户,零件,产品,供应商,再制造分包商和整修场所组成。我们提出了一个包括评估,网络配置以及选择和订单分配的三阶段模型。在第一阶段,将基于新的质量功能部署(QFD)模型对供应商,再制造分包商和翻新场所进行评估。提出的QFD模型确定了客户需求,零件需求和过程需求之间的关系。另外,模糊集理论被用来克服决策过程中的不确定性。在第二阶段,通过随机混合整数非线性规划模型配置闭环供应链网络。假设需求是不确定的参数。最后,在第三阶段中,选择供应商,再制造分包商和翻新场所,并确定订单分配。为此,提出了一种多目标混合整数线性规划模型。进行了说明性示例以显示该过程。该模型的主要创新之处在于在不确定的需求和不确定的决策环境下同时考虑CLSC网络的配置和选择过程。

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