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Optimal (R, Q) policy and pricing for two-echelon supply chain with lead time and retailer’s service-level incomplete information

机译:具有提前期和零售商的服务水平不完整信息的两级供应链的最佳(R,Q)策略和定价

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Many studies focus on inventory systems to analyze different real-world situations. This paper considers a two-echelon supply chain that includes one warehouse and one retailer with stochastic demand and an up-to-level policy. The retailer’s lead time includes the transportation time from the warehouse to the retailer that is unknown to the retailer. On the other hand, the warehouse is unaware of retailer’s service level. The relationship between the retailer and the warehouse is modeled based on the Stackelberg game with incomplete information. Moreover, their relationship is presented when the warehouse and the retailer reveal their private information using the incentive strategies. The optimal inventory and pricing policies are obtained using an algorithm based on bi-level programming. Numerical examples, including sensitivity analysis of some key parameters, will compare the results between the Stackelberg models. The results show that information sharing is more beneficial to the warehouse rather than the retailer.
机译:许多研究集中于库存系统以分析不同的现实情况。本文考虑的是两级供应链,其中包括一个仓库和一个零售商,它们的需求是随机的,并且具有最新的政策。零售商的提前期包括零售商未知的从仓库到零售商的运输时间。另一方面,仓库没有意识到零售商的服务水平。零售商和仓库之间的关系是基于具有不完整信息的Stackelberg博弈建模的。此外,当仓库和零售商使用激励策略泄露其私人信息时,就会显示出它们之间的关系。最佳库存和定价策略是使用基于双层编程的算法获得的。数值示例(包括一些关键参数的敏感性分析)将比较Stackelberg模型之间的结果。结果表明,信息共享对仓库而不是零售商更有利。

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