An efficient method for dynamic-demand joint replenishment problem with multiple suppliers and multiple vehicles

He-Yau Kang, Amy H.I. Lee, Chien-Wei Wu and Cheng-Han Lee

International Journal of Production Research, 2017, vol. 55, issue 4, 1065-1084

Abstract: How to improve competitive edges to meet rapidly changing market environment and dynamic customer needs is critical for the survival and success of firms these days. A good supply chain and inventory management is a necessity in the intensive competitive market. This paper considers a dynamic-demand joint replenishment problem with multiple vehicle routing. The problem is first formulated as a mixed integer programming model with an objective to minimise total costs, which include ordering cost, purchase cost, production cost, transportation cost and holding cost, under a prerequisite that inventory shortage is prohibited in the system. A particle swarm optimisation model is proposed next to solve large-scale problems which are computationally difficult. A case study of a touch panel manufacturer is presented to examine the practicality of the models.

Date: 2017
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DOI: 10.1080/00207543.2016.1218564

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