Reducing the negative effects of sales promotions in supply chains using genetic algorithms

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper considers the detrimental effect of promotions on the supply chain (SC), one of the main Causes of the bullwhip effect. A genetic algorithm (GA) is proposed to reduce these negative effects. In order to validate the GA, it is used to determine the optimal ordering policy in an online version of the MIT beer distribution game. Subsequently, the GA is applied in a number of experiments involving deterministic and random demand and lead times combined with sales promotions. It is shown how GAs can be used to dampen the impact of the bullwhip effect and can be used to assist supply managers in predicting reorder quantities along the supply chain. (C) 2008 Elsevier Ltd. All rights reserved.
LanguageEnglish
Pages7827-7837
JournalExpert Systems with Applications
Volume36
Issue number4
DOIs
Publication statusPublished - May 2009

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Supply chain
Genetic algorithm
Sales promotion
Bullwhip effect
Ordering policy
Random demand
Gas
Lead time
Experiment
Managers

Cite this

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Reducing the negative effects of sales promotions in supply chains using genetic algorithms. / O'Donnell, T.; Humphreys, Paul; McIvor, Ronan; Maguire, Liam.

In: Expert Systems with Applications, Vol. 36, No. 4, 05.2009, p. 7827-7837.

Research output: Contribution to journalArticle

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