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

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

O'Donnell, T., Humphreys, Paul, McIvor, Ronan and Maguire, Liam (2009) Reducing the negative effects of sales promotions in supply chains using genetic algorithms. Expert Systems with Applications, 36 (4). pp. 7827-7837. [Journal article]

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DOI: 10.1016/j.eswa.2008.11.034

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.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Ulster Business School
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Ulster Business School > Department of International Business
Ulster Business School > Department of Management and Leadership
Research Institutes and Groups:Business and Management Research Institute
ID Code:2569
Deposited By:Professor Paul Humphreys
Deposited On:08 Dec 2009 09:32
Last Modified:04 Mar 2013 14:14

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