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Integrating Fuzzification into Finite-Horizon Inventory Models for Deteriorating and Seasonally Demanded Items

In: Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025)

Author

Listed:
  • Sakshi Sharma

    (Lovely Professional University, Department of Mathematics)

Abstract

Seasonal products occupy an essential place in the Fast-Moving Consumer Goods (FMCG) sector, one of the most rapidly expanding industries worldwide. These items—spanning electronics, electrical appliances, computer accessories, fashion apparel, and perishable foods—share a common trait: they spoil quickly or become outdated within a limited period. This research explores the ramp-type demand pattern typical of such products, where market interest and consumption escalate and then decline within a defined season. Because the planning horizon is finite and the products are vulnerable to both degradation and a proportion of faulty units, the inventory model treats these factors as fuzzy variables to capture real-world uncertainty. To handle this imprecision, trapezoidal fuzzy numbers are employed during the fuzzification stage, and the numerical model is subsequently defuzzified using the sign-distance method. The paper closes with empirical findings, managerial insights, and pathways for future research offering decision-makers a rigorous yet adaptable toolset for navigating the next generation of seasonal and perishable markets.

Suggested Citation

  • Sakshi Sharma, 2025. "Integrating Fuzzification into Finite-Horizon Inventory Models for Deteriorating and Seasonally Demanded Items," Advances in Economics, Business and Management Research, in: Vandana Sonwaney & Sandeep Kumar Gupta & Kirti Nayal & Deepak Nirmal (ed.), Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025), pages 61-77, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-914-8_6
    DOI: 10.2991/978-94-6463-914-8_6
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