摘要
考虑一个供应商和一个零售商组成的两级供应链,零售商运用移动平均和指数平滑技术预测提前期需求,分析价格波动下消费者的价格预测行为对牛鞭效应的影响。结果表明,消费者的价格预测行为有助于减小牛鞭效应:一方面,消费者越关注历史价格的波动,越有助于减小牛鞭效应;另一方面,消费者观察到更长期的历史价格可以进一步减小牛鞭效应。文章同时研究了一个供应商和多个零售商组成的两级供应链,并推导出总订货量相对于总需求量波动的牛鞭效应解析式。
In a single two-stage supply chain with one supplier and one retailer, where the retailer uses the mov- ing average(MA) and exponential smoothing(ES) forecasting techniques, we analyze the impact of price forecast by customers on Bullwhip Effect( BWE) under price fluctuation. The results show that, customers' price forecas- ting behavior can reduce BWE. First, the more customers concern about price fluctuation, the smaller the BWE is; second, a longer-term historical price that cusfomers observe can further reduce the BWE. We extend these results to multiple retailers and derive the analytical total order quantity increase in variability.
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2012年第6期132-138,共7页
Operations Research and Management Science
关键词
供应链管理
牛鞭效应
需求预测
价格敏感需求函数
supply chain management
bullwhip effect
demand forecasting
price-sensitive demand function