Approximation of the probability distribution of the customer waiting time under an (r, s, q) inventory policy in discrete time
Approximation of the probability distribution of the customer waiting time under an (r, s, q) inventory policy in discrete time
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离散时间（r，s，q）库存策略下顾客等待时间概率分布的近似
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Lars Fischer
中科院分区：
文献类型：
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作者：
H. Tempelmeier;Lars Fischer
研究了单物品定期复查(r，S，q)库存策略。客户需求在离散(例如每天)的时间轴上到达。补货提前期是离散的随机变量。这是工业实践中用于供应链管理的大多数高级计划软件系统的基本时间模型。给出了顾客等待时间概率分布的一个近似表达式，它是一种面向顾客的性能准则，它反映了供应链中相邻节点的供需关系。通过仿真实验，验证了该方法的逼近性能。
We study a single-item periodic review (r, s, q) inventory policy. Customer demands arrive on a discrete (e.g. daily) time axis. The replenishment lead times are discrete random variables. This is the time model underlying the majority of the Advanced Planning Software systems used for supply chain management in industrial practice. We present an approximation of the probability distribution of the customer waiting time, which is a customer-oriented performance criterion that captures supplier–customer relationships of adjacent nodes in supply chains. The quality of the approximation is demonstrated with the help of a simulation experiment.