首页> 外文会议>Mexican International Conference on Artificial Intelligence(MICAI 2006); 20061113-17; Apizaco(MX) >Application of Fuzzy Multi-objective Programming Approach to Supply Chain Distribution Network Design Problem
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Application of Fuzzy Multi-objective Programming Approach to Supply Chain Distribution Network Design Problem

机译:模糊多目标规划方法在供应链分销网络设计问题中的应用

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摘要

A supply chain distribution network design model is developed in this paper. The goal of the model is to select the optimum numbers, locations and capacity levels of plants and warehouses to deliver the products to the retailers at the least cost while satisfying the desired service level. Maximal covering approach is employed in statement of the service level. Different from the previous researches in this area, coverage functions which differ among the retailers according to their service standard requests are defined for the retailers. Additionally, to provide a more realistic model structure, decision maker's imprecise aspiration levels for the goals, and demand uncertainties are incorporated into the model through fuzzy modeling approach. Realistic computational experiments are provided to confirm the viability of the model.
机译:本文建立了供应链分销网络设计模型。该模型的目标是选择工厂和仓库的最佳数量,位置和容量级别,以在满足所需服务水平的同时,以最低的成本将产品交付给零售商。在声明服务水平时采用了最大覆盖方法。与该领域的先前研究不同,零售商为零售商定义了根据其服务标准要求而有所不同的覆盖功能。此外,为了提供更现实的模型结构,决策者对目标的不精确期望水平以及需求不确定性通过模糊建模方法被纳入模型。提供了实际的计算实验来确认模型的可行性。

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