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Applying genetic algorithms to dampen the impact of price fluctuations in a supply chain

Lu, J, Humphreys, Paul, McIvor, Ronan, Maguire, Liam and wiengarten, F (2012) Applying genetic algorithms to dampen the impact of price fluctuations in a supply chain. International Journal of Production Research, 50 (19). pp. 5396-5414. [Journal article]

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DOI: 10.1080/00207543.2011.630041


Genetic Algorithms (GAs) have been identified as an innovative and useful approach for dampening the Bullwhip Effect along supply chains. This paper extends previous work by developing an improved supply chain model that incorporates additional cost factors such as ordering cost, item cost, distribution cost and production cost. The revised model is then used to examine one element of the Bullwhip Effect, i.e. price fluctuation strategies. A GA is employed to determine the ordering policy for each member in the model that minimises cost. The research illustrates how the GA performs if a sales promotion is introduced. From the experimental results, it is shown that a GA can help determine an improved ordering policy and reduce the total cost across the supply chain.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Ulster Business School > Department of Management and Leadership
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Ulster Business School > Department of International Business
Ulster Business School
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Business and Management Research Institute
Computer Science Research Institute
ID Code:26103
Deposited By: Mrs Karen Surgeoner
Deposited On:17 May 2013 09:38
Last Modified:17 May 2013 09:38

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