Bootstrap confidence interval estimates of the bullwhip effect

被引：5
|
作者：
Hsieh, Kun-Lin
Chen, Yan-Kwang
Shen, Ching-Cheng
机构：
[1] Natl Taitung Univ, Dept Informat Management, Taitung, Taiwan
[2] Natl Taichung Inst Technol, Dept Logist Engn & Management, Taichung, Taiwan
[3] Kaohsiung Hosp Coll, Grad Sch Travel Management, Kaohsiung, Taiwan
来源：
SIMULATION MODELLING PRACTICE AND THEORY | 2007年 / 15卷 / 08期
关键词：
the bullwhip effect; bootstrap; autocorrelation; supply chain;
D O I：
10.1016/j.simpat.2007.05.001
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper introduces the confidence interval estimate for measuring the bullwhip effect, which has been observed across most industries. Calculating a confidence interval usually needs the assumption about the underlying distribution. Boot-strapping is a non-parametric, but computer intensive, estimation method. In this paper, a simulation study on the behavior of the 95% bootstrap confidence interval for estimating bullwhip effect is made. Effects of sample size, autocorrelation coefficient of customer demand, lead time, and bootstrap methods on the 95% bootstrap confidence interval of bullwhip effect are presented and discussed. (c) 2007 Elsevier B.V. All rights reserved.
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页码：908 / 917
页数：10
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