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A fuzzy vendor managed inventory of multi-item economic order quantity model under shortage: An ant colony optimization algorithm

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  • Roozbeh Nia, Ali
  • Hemmati Far, Mohammad
  • Akhavan Niaki, Seyed Taghi

Abstract

In this study, a multi-item economic order quantity model with shortage under vendor managed inventory policy in a single vendor single buyer supply chain is developed. This model explicitly includes warehouse capacity and delivery constraints, bounds order quantity, and limits the number of pallets. Not only the demands are considered imprecise, but also resources such as available storage and total order quantity of all items can be vaguely defined in different ways. An ant colony optimization is employed to find a near-optimum solution of the fuzzy nonlinear integer-programming problem with the objective of minimizing the total cost of the supply chain. Since no benchmark is available in the literature, a genetic algorithm and a differential evolution are developed as well to validate the result obtained. Furthermore, the applicability of the proposed methodology along with a sensitivity analysis on its parameter is demonstrated using five numerical examples containing different numbers of items.

Suggested Citation

  • Roozbeh Nia, Ali & Hemmati Far, Mohammad & Akhavan Niaki, Seyed Taghi, 2014. "A fuzzy vendor managed inventory of multi-item economic order quantity model under shortage: An ant colony optimization algorithm," International Journal of Production Economics, Elsevier, vol. 155(C), pages 259-271.
    • Handle: RePEc:eee:proeco:v:155:y:2014:i:c:p:259-271
    DOI: 10.1016/j.ijpe.2013.07.017
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