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Analysis of supply chain coordination under fuzzy demand in a two-stage supply chain

机译:两阶段供应链中模糊需求下的供应链协调分析

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摘要

This paper considers a two-stage supply chain coordination problem and focuses on the fuzziness aspect of demand uncertainty. We use fuzzy numbers to depict customer demand, and investigate the optimization of the vertically integrated two-stage supply chain under perfect coordination and contrast with the non-coordination case. As in the traditional probabilistic analysis, we prove that the maximum expected supply chain profit in a coordination situation is greater than the total profit in a non-coordination situation.
机译:本文考虑了两阶段的供应链协调问题,并着重于需求不确定性的模糊性方面。我们使用模糊数来描述客户需求,并研究在完美协调和与非协调情况下形成对比的垂直整合两阶段供应链的优化。与传统的概率分析一样,我们证明了在协调情况下的最大预期供应链利润大于在非协调情况下的总利润。

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