 Optimisation of distribution quantity in a multi-product multi-period supply chain using genetic algorithmFarshid Sobhani and Kuan Yew Wong International Journal of Services and Operations Management, 2013, vol. 14, issue 3, 277-297 Abstract: This research is about optimising the distribution quantity of products in a three-stage supply chain system. The stages consist of manufacturers, distribution centres and retailers. This study also considers the different number of products and time periods in a planning horizon. Optimising the quantity of products shipped through the stages of a supply chain has a significant effect on the total cost of the system and generally, it is a key factor for decision making. The costs studied in this paper are transportation cost and inventory holding cost. Transportation cost itself includes fixed cost and variable cost. A mathematical model was formulated to represent the problem and it was solved by using genetic algorithm. Besides this, a programme was written in a way that can be used with different number of manufacturers, distribution centres, retailers, products and time periods in a planning horizon. Keywords: supply chain management; SCM; genetic algorithms; optimisation; distribution quantity; multi-product supply chains; multi-period supply chains; transport costs; inventory holding costs. (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:ijsoma:v:14:y:2013:i:3:p:277-297 Access Statistics for this article More articles in International Journal of Services and Operations 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.