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Application of polygonal fuzzy numbers to the basic economic order quantity model

Author

Listed:
  • İsmail Özcan

    (Süleyman Demirel University)

  • Salih Aytar

    (Süleyman Demirel University)

Abstract

In this paper, we fuzzified the total cost and demand in the basic Economic Order Quantity model using the polygonal fuzzy numbers. By generalizing the signed distance defuzzification method for the polygonal fuzzy numbers, we apply this new method to the basic inventory model. Then we show that our method gives better results than triangular fuzzy model.

Suggested Citation

  • İsmail Özcan & Salih Aytar, 2022. "Application of polygonal fuzzy numbers to the basic economic order quantity model," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 482-493, June.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:2:d:10.1007_s12597-021-00529-1
    DOI: 10.1007/s12597-021-00529-1
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    References listed on IDEAS

    as
    1. Wu, Kweimei & Yao, Jing-Shing, 2003. "Fuzzy inventory with backorder for fuzzy order quantity and fuzzy shortage quantity," European Journal of Operational Research, Elsevier, vol. 150(2), pages 320-352, October.
    2. Yao, Jing-Shing & Chiang, Jershan, 2003. "Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance," European Journal of Operational Research, Elsevier, vol. 148(2), pages 401-409, July.
    Full references (including those not matched with items on IDEAS)

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