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Incorporating location, routing, and inventory decisions in a bi-objective supply chain design problem with risk-pooling

机译:将位置,路线和库存决策纳入具有风险分担的双目标供应链设计问题中

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This paper considers a single-sourcing network design problem for a three-level supply chain. For the first time, a novel mathematical model is presented considering risk-pooling, the inventory existence at distribution centers (DCs) under demand uncertainty, the existence of several alternatives to transport the product between facilities, and routing of vehicles from distribution centers to customer in a stochastic supply chain system, simultaneously. This problem is formulated as a bi-objective stochastic mixed-integer nonlinear programming model. The aim of this model is to determine the number of located distribution centers, their locations, and capacity levels, and allocating customers to distribution centers and distribution centers to suppliers. It also determines the inventory control decisions on the amount of ordered products and the amount of safety stocks at each opened DC, selecting a type of vehicle for transportation. Moreover, it determines routing decisions, such as determination of vehicles' routes starting from an opened distribution center to serve its allocated customers and returning to that distribution center. All are done in a way that the total system cost and the total transportation time are minimized. The Lingo software is used to solve the presented model. The computational results are illustrated in this paper.
机译:本文考虑了三级供应链的单源网络设计问题。首次提出了一种新的数学模型,该模型考虑了风险共担,需求不确定性下配送中心(DC)的存货存在,在设施之间运输产品的几种选择的存在以及车辆从配送中心到客户的路线选择同时在随机供应链系统中。这个问题被表述为双目标随机混合整数非线性规划模型。该模型的目的是确定所分布的配送中心的数量,其位置和能力水平,并将客户分配给配送中心,并将配送中心分配给供应商。它还选择每个打开的配送中心的订购产品数量和安全库存数量的库存控制决策,选择一种运输工具。此外,它还确定路线决策,例如确定车辆路线,从一个已打开的配送中心开始,以为其分配的客户提供服务,然后返回该配送中心。所有这些都以使总系统成本和总运输时间最小化的方式完成。 Lingo软件用于求解所提出的模型。计算结果在本文中进行了说明。

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