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A model for optimizing enterprise’s inventory costs. A fuzzy approach

Author

Listed:
  • Witold Kosiński
  • Rafał Muniak
  • Witold Konrad Kosiński

Abstract

Applicability of a fuzzy approach to a problem originating from administrative accounting, namely to determine an economic order quantity (EOQ) in a variable competitive environment with imprecise and vague data, has been presented. For this purpose, the model of ordered fuzzy numbers developed by the first author and his two co-workers is used. The present approach generalizes the one developed within the framework of convex fuzzy numbers and stays outside the probabilistic one.

Suggested Citation

  • Witold Kosiński & Rafał Muniak & Witold Konrad Kosiński, 2013. "A model for optimizing enterprise’s inventory costs. A fuzzy approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 23(4), pages 39-54.
    • Handle: RePEc:wut:journl:v:4:y:2013:p:39-54:id:1056
    DOI: 10.5277/ord130404
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    References listed on IDEAS

    as
    1. Vujosevic, Mirko & Petrovic, Dobrila & Petrovic, Radivoj, 1996. "EOQ formula when inventory cost is fuzzy," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 499-504, August.
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    Cited by:

    1. Maria A. M. Trindade & Paulo S. A. Sousa & Maria R. A. Moreira, 2021. "Defining a storage-assignment strategy for precedence-constrained order picking," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(2), pages 146-160.
    2. Yaser Taghinezhad, 2019. "Optimisation model for a chain logistics problem involving chilled food under conditions of uncertainty," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 103-116.

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