 Determination of optimal ordering quantity and reduction of bullwhip effect in a multistage supply chain using genetic algorithmTahera Yesmin and M. Ahsan Akhtar Hasin International Journal of Integrated Supply Management, 2012, vol. 7, issue 4, 193-214 Abstract: Allocating optimal ordering quantity and mitigation of bullwhip effect is one of the challenging parts in a modern multi echelon supply chain system. Genetic algorithm is used in this research to reduce the bullwhip effect and to determine optimal ordering quantity in a multistage supply chain consisting of six members. Real demand data of a manufacturing company has been used here to conduct the analyses. This research also pinpointed that genetic algorithm can be applied to reduce the cost of total supply chain. To calculate the total cost, five different costs with varying unit holding cost, in inventory cost is used for each of the members of supply chain. This paper also examines the importance of the limit set of the chromosomes of genetic algorithm and concluded that the lower range chromosomes provide a better result by reducing the total supply chain cost more than the range set in higher limit. Keywords: multistage supply chains; genetic algorithms; bullwhip effect; optimal ordering quantity; total supply chain cost; TSCC; supply chain management; SCM; manufacturing industry. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisma:v:7:y:2012:i:4:p:193-214 Access Statistics for this article More articles in International Journal of Integrated Supply Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.