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Inventory policies under fuzzy and cloud fuzzy environment

Author

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  • Nita H. Shah
  • Milan B. Patel
  • Pratik H. Shah

Abstract

This article is an attempt to extend the classical economic order quantity (EOQ) model for deteriorating items under fuzzy and cloud fuzzy environment. Inventory parameters such as holding cost, purchase cost, ordering cost, demand rate and deterioration rate are considered as triangular fuzzy numbers as well as cloud triangular fuzzy numbers to develop fuzzy and cloud fuzzy models respectively. Yager's ranking method and De and Beg's ranking methods are used for defuzzification. A comparative study reveals the superiority of cloud fuzzy model over crisp and fuzzy model. Further, numerical example, graphical illustrations and sensitivity analysis are carried out for better understanding of the application of cloud fuzzy approach to inventory optimisation problem.

Suggested Citation

  • Nita H. Shah & Milan B. Patel & Pratik H. Shah, 2022. "Inventory policies under fuzzy and cloud fuzzy environment," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 14(4), pages 356-370.
    • Handle: RePEc:ids:ijidsc:v:14:y:2022:i:4:p:356-370
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    Cited by:

    1. Osama Abdulaziz Alamri & Navneet Kumar Lamba & Mahesh Kumar Jayaswal & Mandeep Mittal, 2024. "A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand," Mathematics, MDPI, vol. 12(15), pages 1-41, August.

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