利用三阶指数平滑预测降低供应链中的牛鞭效应和库存成本

Chuanxu Wang
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引用次数: 3

摘要

首先,采用不同的指数平滑预测方法对两阶段供应链中零售商的牛鞭效应、平均库存水平以及期望持有和短缺成本进行量化。通过对比研究表明,在需求正相关的供应链中,基于三阶指数平滑预测的订单方差、库存水平和预期库存成本小于基于二阶指数平滑预测的订单方差、库存水平和预期库存成本,而基于双指数平滑预测的订单方差、库存水平和预期库存成本小于基于简单指数平滑预测的订单方差、库存水平和预期库存成本。研究还表明,对于较大的提前期,三阶指数平滑预测能显著降低零售商的平均库存和预期库存成本。然而,当交货期较小时,平均库存和预期库存成本的降低是有限的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the third order exponential smoothing forecasts on reducing the bullwhip effect and inventory costs in supply chain
First, in the paper the bullwhip effect, average inventory level and expected holding and shortage costs at retailer in a two-stage supply chain are quantified when different exponential smoothing forecasting is used. Through a comparison study it is shown that in a supply chain with positively correlated demand, the order variance, inventory level and expected inventory costs based on the third order exponential smoothing forecast is smaller than those based on the second order exponential smoothing forecast, and the order variance, inventory level and expected inventory costs based on double exponential smoothing forecast is smaller than those based on simple exponential smoothing forecast. It is also indicated that for large values of lead time, the third order exponential smoothing forecast can significantly decrease the average inventory and expect inventory costs at the retailer. When the lead time is small, however, the reductions in average inventory and expected inventory costs are limited.
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