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Multiple Criteria Inventory Classification Under Fuzzy Environment

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  • Golam Kabir

    (Department of Civil Engineering, University of British Columbia, Kelowna, BC, Canada)

Abstract

A systematic approach to the inventory control and classification may have significant influence on company competitiveness. In practice, all inventories cannot be controlled with equal attention. In order control the inventory items and to determine the suitable ordering policies for them, multiple criteria inventory classification is used. A systematic and logical approach is structured for multiple criteria inventory classification under fuzzy environment through integrating Fuzzy Delphi Method (FDM) with Fuzzy Analytic Hierarchy Process (FAHP). Fuzzy Delphi method is used to identify the important criteria and, Fuzzy AHP is used to determine the relative weights of the criteria, and to classify inventories into different categories. To accredit the proposed model, its implemented for the 351 raw materials of switch gear section of Energypac Engineering Limited (EEL), a large power engineering company of Bangladesh.

Suggested Citation

  • Golam Kabir, 2012. "Multiple Criteria Inventory Classification Under Fuzzy Environment," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 2(4), pages 76-92, October.
  • Handle: RePEc:igg:jfsa00:v:2:y:2012:i:4:p:76-92
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    Cited by:

    1. Siamak Kheybari & S. Ali Naji & Fariba Mahdi Rezaie & Reza Salehpour, 2019. "ABC classification according to Pareto’s principle: a hybrid methodology," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 539-562, June.
    2. Shaher H. Zyoud & Daniela Fuchs-Hanusch, 2019. "Comparison of Several Decision-Making Techniques: A Case of Water Losses Management in Developing Countries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1551-1578, September.

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