Supply-chain modelling and control under proportional inventory-replenishment policies
نویسندگان
چکیده
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 its 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 briefly discussed.
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عنوان ژورنال:
- Int. J. Systems Science
دوره 39 شماره
صفحات -
تاریخ انتشار 2008