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Supply chain coordination with random yield and demand uncertainty

机译:具有随机产量和需求不确定性的供应链协调

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摘要

Uncertainty is a major challenging factor in the marketing strategies of the players in a supply chain. In this study, the random yield for both the supplier and manufacturer is investigated to find the optimal decisions in the environment of demand uncertainty. To meet the effect of random yield in the supplier's production, the manufacturer places a flexible ordering policy in a range with conditions imposed thereupon. It is also assumed that the manufacturer faces both the under-stocking and overstocking risk. In the over-stock situation, the model is developed with the chance factor of holding and selling with salvage value for the extra products. The behavior of the model under a centralized, vertical Nash approach is analysed. A manufacturer-Stackelberg and revenue sharing contract with penalty and sharing are also discussed. The sensitivity of the key parameters is examined to test the feasibility of the model. Finally, a numerical example with graphical illustrations is provided to investigate the proposed model.
机译:不确定性是供应链中参与者的营销策略中的主要挑战因素。在这项研究中,调查了供应商和制造商的随机产量,以在需求不确定的环境中找到最佳决策。为了满足供应商生产中随机产量的影响,制造商在一定条件下在一定范围内制定了灵活的订购政策。还假设制造商同时面临库存不足和库存过多的风险。在存货过多的情况下,该模型的开发具有持有和出售的机会因素,并且具有额外产品的残值。分析了在集中式,垂直Nash方法下模型的行为。还讨论了制造商-Stackelberg和收益共享合同以及惩罚和共享。检查关键参数的敏感性以测试该模型的可行性。最后,提供了带有图形说明的数值示例来研究所提出的模型。

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