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首页> 外文期刊>Scientific programming >Supply Chain Network Design under Demand Uncertainty and Supply Disruptions: A Distributionally Robust Optimization Approach
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Supply Chain Network Design under Demand Uncertainty and Supply Disruptions: A Distributionally Robust Optimization Approach

机译：需求不确定和供应中断下的供应链网络设计：一种分布式鲁棒优化方法

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摘要

We develop a robust optimization model for designing a three-echelon supply chain network that consists of manufacturers, distribution centers, and retailers under both demand uncertainty and supply disruptions. The market demands are assumed to be random variables with known distribution and the supply disruptions caused by some of the facilities faults or connection links interruptions are formulated by several scenarios with unknown occurrence probabilities. In particular, we assume the probabilities that the disruption scenarios happen belong to the two predefined uncertainty sets, named box and ellipsoid uncertainty sets, respectively. Through mathematical deductions, the proposed robust SCN design models can be transformed into the tractable linear program for box uncertainty and into second-order cone program for ellipsoid uncertainty. We further offer propositions with proof to show the equivalence of the transformed problems with the original ones. The applications of the proposed models together with solution approaches are investigated in a real case to design a tea supply chain network and validate their effectiveness. Numerical results obtained from model implementation and sensitivity analysis arrive at important practical insights.
机译：我们开发了一个强大的优化模型，用于设计一个三级供应链网络，该网络由制造商，分销中心和零售商组成，需求不确定和供应中断。假定市场需求是具有已知分布的随机变量，并且由一些设施故障或连接链接中断引起的供应中断由几种未知发生概率的方案来表述。特别地，我们假设发生破坏情景的概率分别属于两个预定义的不确定性集，分别命名为box和椭球不确定性集。通过数学推论，可以将提出的鲁棒SCN设计模型转换为用于箱形不确定性的可处理线性程序，以及用于椭圆形不确定性的二阶锥程序。我们进一步提供命题，以证明与原始问题等价的转换问题。在实际案例中研究了所提出的模型与解决方案方法的应用，以设计茶供应链网络并验证其有效性。从模型实现和灵敏度分析获得的数值结果可得出重要的实践见解。

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  • 来源
    《Scientific programming》 |2016年第2期|3848520.1-3848520.15|共15页
  • 作者

    Qiu Ruozhen; Wang Yizhi;

  • 作者单位

    Northeastern Univ, Sch Business Adm, 195 Chuangxin Rd, Shenyang 110169, Liaoning, Peoples R China;

    Northeastern Univ, Sch Business Adm, 195 Chuangxin Rd, Shenyang 110169, Liaoning, Peoples R China;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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