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

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

Authors
Sakshi Sharma1, *
1Department of Mathematics, Lovely Professional University, Phagwara, 144411, Punjab, India
*Corresponding author.
Corresponding Author
Sakshi Sharma
Available Online 24 December 2025.
DOI
10.2991/978-94-6463-914-8_6How to use a DOI?
Keywords
Seasonal Demand; Deterioration; FMCG (Fast Moving Consumer Goods); Ramp – Type Demand; Consumer Packaged Goods; Quick-Commerce; Short-Lifecycle Products; Fuzzification
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computer accessories, fashion apparel, and perishable foods—share a common trait: they spoil quickly or become outdated within a limited period.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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
24 December 2025
ISBN
978-94-6463-914-8
ISSN
2352-5428
DOI
10.2991/978-94-6463-914-8_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sakshi Sharma
PY  - 2025
DA  - 2025/12/24
TI  - Integrating Fuzzification into Finite-Horizon Inventory Models for Deteriorating and Seasonally Demanded Items
BT  - Proceedings of the International Conference on Operations & Supply Chain Management 2025 (ICOSCM 2025)
PB  - Atlantis Press
SP  - 61
EP  - 77
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-914-8_6
DO  - 10.2991/978-94-6463-914-8_6
ID  - Sharma2025
ER  -