What is the Value of the Online Retailer's Demand Forecast Information Sharing?

Zhao Jin-lou, Zheng Shuang
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引用次数: 1

Abstract

Online retailers consider history clicks when forecasting product market demand. Assuming that online retailers can forecast the market demand accurately, this study focuses on the supply chain composed of one online retailer and multiple suppliers When online retailer determining the order quantity, the quantity of maximum inventory is decide by the method of “current demand and safety stock” instead of “the average of historical demand and safety stock”,this study investigates the influence of the market demand information sharing of online retailer to the bullwhip effect on supply chain and the level of the supplier inventory. The results prove that the market demand information sharing of online retailer can reduce the bullwhip effect on supply chain, and can also reduce the inventory level of supplier. In addition continuous cycle demand correlation is the most significant impact that can influence the value of information sharing.
在线零售商需求预测信息共享的价值是什么?
在线零售商在预测产品市场需求时会考虑历史点击量。假设在线零售商能够准确预测市场需求,本研究关注的是由一个在线零售商和多个供应商组成的供应链,当在线零售商确定订单数量时,本文采用“当前需求和安全库存”的方法代替“历史需求和安全库存的平均值”来确定最大库存的数量,研究了网络零售商市场需求信息共享对供应链牛鞭效应和供应商库存水平的影响。研究结果表明,在线零售商的市场需求信息共享可以减少供应链上的牛鞭效应,也可以降低供应商的库存水平。此外,连续周期需求相关性是影响信息共享价值的最显著因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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