What is the value of an online retailer sharing demand forecast information?

被引：8

作者：

Zhao, Jinlou ^{[1
]}

Zhu, Hui ^{[1
]}

Zheng, Shuang ^{[1
]}

机构：

[1] Harbin Engn Univ, SEM, Harbin, Heilongjiang, Peoples R China

来源：

SOFT COMPUTING | 2018年 / 22卷 / 16期

关键词：

Information sharing; Online retailer; Bullwhip effect; Inventory level; SUPPLY CHAIN; INVENTORY; PERSPECTIVE; IMPACT;

D O I：

10.1007/s00500-018-3091-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Online retailers take into account history clicks when forecasting product market demand. Assuming that online retailers can forecast the market demand accurately, this study focuses on a supply chain composed of one online retailer together with multiple suppliers. When an online retailer determines an order quantity, the amount of maximum inventory is decided on the basis of "current demand plus safety stock," rather than "average of historical demand plus safety stock." This study investigates the influence that market demand information sharing among online retailers has on both the bullwhip effect on the supply chain and on a supplier's inventory level. The results prove that market demand information sharing between online retailers can reduce the bullwhip effect on the supply chain, and can also reduce a supplier's inventory level. In addition, the demand correlation coefficient in a continuous cycle has the most significant impact on influencing the value of information sharing.

引用

页码：5419 / 5428

页数：10

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