An optimization model for distribution network design with uncertain customer demands and production capacity

Xiaoyu Zhao, Xiao-yuan Huang, Fuquan Sun
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引用次数: 5

Abstract

In this paper, a fuzzy linear programming model for bi-level distribution network design in supply chain management (SCM) is proposed, in which both customer demands for products and production capacity of branch plants are treated as fuzzy parameters. Then a fuzzy chance constrained programming model is presented to denote the problem further. The ways to convert chance constraints to their respective crisp equivalents are also discussed. To speed up the process of solving the problem, a heuristic method is combined with conventional branch and bound algorithm and satisfactory results have been achieved. A numerical example is given to illustrate the proposed model at the end of the paper.
考虑用户需求和生产能力不确定的配电网优化设计模型
本文将客户对产品的需求和分支工厂的生产能力作为模糊参数,建立了供应链管理中二级配电网设计的模糊线性规划模型。然后提出一个模糊机会约束规划模型来进一步表示问题。本文还讨论了将机会约束转换为它们各自清晰等价的方法。为了加快问题的求解速度,将启发式算法与传统的分支定界算法相结合,取得了满意的结果。最后给出了一个数值例子来说明所提出的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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