Optimisation of distribution quantity in a multi‐product multi‐period supply chain using genetic algorithm

Optimisation of distribution quantity in a multi‐product multi‐period supply chain using genetic algorithm

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Article ID: iaor20131815
Volume: 14
Issue: 3
Start Page Number: 277
End Page Number: 297
Publication Date: Feb 2013
Journal: International Journal of Services and Operations Management
Authors: ,
Keywords: heuristics: genetic algorithms
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.

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