Using GAs to minimise the bullwhip effect in a supply chain

被引：0

作者：

O'Donnell, T ^{[1
]}

Maguire, L ^{[1
]}

McIvor, R ^{[1
]}

Humphreys, P ^{[1
]}

机构：

[1] Univ Ulster, Fac Business & Management, Coleraine BT52 1SA, Londonderry, North Ireland

来源：

PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3 | 2005年

关键词：

bullwhip effect; beer game; Genetic Algorithms;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a genetic algorithm (GA) that is employed to eliminate the bullwhip effect in the beer distribution game. The authors demonstrate that the genetic algorithm can determine the optimal ordering policy for each member of the supply chain (SC) when facing deterministic and random customer demand. The approach is demonstrated using the MIT beer distribution game.

引用

页码：988 / 991

页数：4

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