首页> 外文会议>工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)论文集 >Joint Facility Location and Supplier Selection Decisions of Distribution Networks with Random Supply Lead Time
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Joint Facility Location and Supplier Selection Decisions of Distribution Networks with Random Supply Lead Time

机译:具有随机供应提前期的分销网络的联合设施位置和供应商选择决策

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Supplier selection and facility location problems are often considered separately. In this study, we integrate decisions that are usually made in three stages: the location of Distribution Centers (DCs), the allocation of suppliers to DCs, and the assignment of retailers to the located DCs. More specifically, the distribution network under consideration is composed of a set of potential suppliers serving a set of retailers through a set of DCs to locate. We assume that each retailer faces a random demand of a single product type, and the supply lead-time from each supplier to each DC is random. Economic Order Quantity policy is used by each DC to control its inventory, and a safety stock is kept to ensure a given retailer service level. The goal is to minimize total inventory and safety stock costs at the DCs, ordering and transportation costs across the network, and fixed DCs location costs. The resulting problem is a difficult non-linear combinatorial optimization problem. A Lagrangian relaxation approach is proposed to generate efficient solutions.
机译:供应商选择和设施位置问题通常被单独考虑。在这项研究中,我们综合了通常在三个阶段做出的决策:配送中心(DC)的位置,供应商对配送中心的分配以及零售商对所定位配送中心的分配。更具体地说,所考虑的分销网络由一组潜在的供应商组成,这些供应商通过一组DC来为一组零售商服务,以进行定位。我们假设每个零售商都面临着单一产品类型的随机需求,并且从每个供应商到每个DC的供应提前期都是随机的。每个配送中心都使用经济订单数量策略来控制其库存,并保留安全库存以确保给定的零售商服务水平。目标是将配送中心的总库存和安全库存成本,整个网络的订购和运输成本以及配送中心的固定位置成本降至最低。产生的问题是一个困难的非线性组合优化问题。提出了拉格朗日松弛法以产生有效的解决方案。

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