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SUPPLY CHAIN MODELLING AND CONTROL UNDER PROPORTIONAL INVENTORY-REPLENISHMENT POLICIES

机译:按比例库存补充政策下的供应链建模与控制

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A novel state-space model of a multi-node supply chain is presented, controlled via local proportional inventory-replenishment policies. The model is driven by a stochastic sequence representing customer demand. The model is analyzed under stationarity conditions and a simple recursive scheme is developed for updating the covariance matrix. This allows us to characterize the "bullwhip effect" (demand amplification) in the chain and to solve an optimization problem for a three-node model involving the minimization of inventory subject to a probabilistic constraint on downstream demand. Finally, issues related to estimation schemes based on local historical data are discussed.
机译:通过本地比例库存补充策略呈现多节点供应链的新型状态空间模型。该模型由表示客户需求的随机序列驱动。在实用条件下分析模型,开发了一个简单的递归方案,用于更新协方差矩阵。这使我们能够在链中表征链中的“牛鞭效应”(需求放大)并解决三个节点模型的优化问题,涉及对下游需求的概率约束进行最小化库存的最小化。最后,讨论了与基于本地历史数据的估计方案相关的问题。

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