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An Evaluative Continuous Time Markov Chain Model for a Three Echelon Supply Chain with Stochastic Demand and Lead Time

机译:具有随机需求和提前期的三级供应链的评估连续时间马尔可夫链模型

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In this paper, a three echelon supply chain model is explained, which considers supplier, manufacturer and distribution centers. Distribution centers face Poisson demand with the rate of Λ d and manufacturer produces and ships their orders with stochastic lead time of the Exponential distribution with the rate of μ d . A supplier, ships row materials to the manufacturer with stochastic lead time that follows the Exponential distribution with the rate of y s . Assuming lost sales at the distribution centers, an evaluative continuous time markov model is established to evaluate performance indexes of the model. Moreover, response surface methodology is used for optimizing the performance. Results show that the proposed model can evaluate performance indexes of the supply chain model accurately and determine optimum inventory policy. Moreover, the established response surface methodology can estimate net profit of the system as well.
机译:在本文中,解释了一个三级供应链模型,其中考虑了供应商,制造商和分销中心。配送中心以Λd的比率面对泊松需求,制造商以μd的比率以指数分布的随机提前期生产和运送订单。供应商以随机提前期将行物料运送给制造商,该提前期遵循y s的指数分布。假设配送中心的销售损失,建立了评估连续时间马尔可夫模型来评估模型的性能指标。此外,使用响应面方法来优化性能。结果表明,所提出的模型可以准确地评估供应链模型的绩效指标,并确定最佳的库存策略。此外,已建立的响应面方法也可以估算系统的净利润。

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