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A two-stage queueing network on form postponement supply chain with correlated demands

机译:具有相关需求的表单延迟供应链上的两阶段排队网络

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To ease the conflict between quick response and product variety, more and more business models are developed in supply chains. Among these, the form postponement (FP) strategy is an efficient tool and has been widely adopted. To the supply chain with FP strategy, the design mostly involves two problems: determination of customer order decoupling point (CODP) position and semi-finished product inventory control. In this paper, we develop a two-stage tandem queueing network with MAP arrival to address this issue. Particularly, we introduce a Markov arrival process (MAP) to characterize the correlation of the demand. By using of matrix geometric method, we derive several performance measure of the supply chain, such as inventory level and unfill rate. Our numerical examples show that both the variance and the correlation coefficient of the demand lead to more delayed CODP position and more total cost.
机译:为了缓解快速响应和产品多样化之间的冲突,供应链中开发了越来越多的业务模型。其中,表单延迟(FP)策略是一种有效的工具,已被广泛采用。对于采用FP策略的供应链,设计主要涉及两个问题:确定客户订单去耦点(CODP)位置和半成品库存控制。在本文中,我们开发了一个带有MAP到达的两阶段串联排队网络来解决此问题。特别是,我们引入了马尔可夫到达过程(MAP)来描述需求的相关性。通过使用矩阵几何方法,我们得出了供应链的几种绩效指标,例如库存水平和未完成率。我们的数值示例表明,需求的方差和相关系数都导致延迟的CODP位置更多,总成本更高。

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