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Revisiting rescheduling: MRP nervousness and the bullwhip effect

机译:重新安排时间:MRP紧张和牛鞭效应

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We study the material requirements planning (MRP) system nervousness problem from a dynamic, stochastic and economic perspective in a two-echelon supply chain under first-order auto-regressive demand. MRP nervousness is an effect where the future order forecasts, given to suppliers so that they may plan production and organise their affairs, exhibits extreme period-to-period variability. We develop a measure of nervousness that weights future forecast errors geometrically over time. Near-term forecast errors are weighted higher than distant forecast errors. Focusing on replenishment policies for high volume items, we investigate two methods of generating order call-offs and two methods of creating order forecasts. For order call-offs, we consider the traditional order-up-to (OUT) policy and the proportional OUT policy (POUT). For order forecasts, we study both minimum mean square error (MMSE) forecasts of the demand process and MMSE forecasts coupled with a procedure that accounts for the known future influence of the POUT policy. We show that when retailers use the POUT policy and account for its predictable future behaviour, they can reduce the bullwhip effect, supply chain inventory costs and the manufacturer's MRP nervousness.
机译:我们从一阶自回归需求的两级供应链中,从动态,随机和经济的角度研究了物料需求计划(MRP)系统的紧张性问题。 MRP紧张感是一种影响,未来订单预测会给供应商,使他们可以计划生产和组织事务,呈现出极大的周期变化。我们开发出一种紧张程度,可以随着时间推移以几何方式加权未来的预测误差。近期预测误差的权重高于远距离预测误差。重点关注大宗商品的补货策略,我们研究了两种生成订单取消的方法和两种创建订单预测的方法。对于订单取消,我们考虑了传统的订单到(OUT)策略和比例OUT策略(POUT)。对于订单预测,我们同时研究需求过程的最小均方误差(MMSE)预测和MMSE预测,并结合说明POUT政策未来已知影响的程序。我们证明,当零售商使用POUT策略并考虑其可预测的未来行为时,它们可以减少牛鞭效应,供应链库存成本和制造商的MRP紧张情绪。

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