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Coordinating replenishment decisions in a two-stage supply chain by considering truckload limitation based on delay in payments

机译:通过考虑基于付款延迟的卡车载重量限制,在两阶段供应链中协调补货决策

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摘要

Improper setting of replenishment decisions can lead to lower service level and therefore reduces the whole supply chain (SC) profitability. In a decentralised SC, each member has the full authority of setting its own replenishment decisions, while these decisions affect the other SC members. In this paper, a single-upstream and single-downstream SC is considered, in which the upstream by proposing an incentive scheme based on delay in payments convinces the buyer to globally optimise his/her reorder point and also order quantity. Demand and also lead times are assumed uncertain in the investigated model. In addition, a truckload limitation is considered in downstream side. The proposed model ensures the global optimum of replenishment decisions under some circumstances. The model has the ability of sharing benefits between members to guarantee their participation. Maximum and minimum acceptable delay-in-payments durations are extracted. The results of numerical experiments show that the model has the ability of coordinating SC in most of the realistic parameter sets. Condition under which the proposed model is not able to coordinate the SC is also reported using a sensitivity analysis on the primary parameters. Extensive numerical experiments show capabilities of the proposed model in coordinating SC.
机译:补货决策设置不当会导致服务水平降低,从而降低整个供应链(SC)的盈利能力。在分散式SC中,每个成员都有权制定自己的补充决策,而这些决策会影响其他SC成员。在本文中,考虑了单上游和单下游的供应链,其中上游通过基于付款延迟提出了激励计划,从而说服买方全面优化其再订货点和订货数量。需求和交货时间在研究模型中被认为是不确定的。另外,在下游侧考虑了载重量限制。所提出的模型可确保在某些情况下全局最优的补​​货决策。该模型具有在成员之间共享利益以保证其参与的能力。提取最大和最小可接受的付款延迟时间。数值实验结果表明,该模型具有协调大多数实际参数集的能力。还使用对主要参数的敏感性分析来报告提出的模型无法协调SC的条件。大量的数值实验表明了所提出模型在协调SC中的能力。

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