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Article

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Title

A Memory-Dependent Inventory Model with Fuzzy Price-Dependent Demand Under Backlogged Shortages

Authors

[ 1 ] Wydział Ekonomiczny, Akademia im. Jakuba z Paradyża | [ P ] employee

Scientific discipline (Law 2.0)

[6.1] Economics and finance

Year of publication

2025

Published in

Journal of Uncertain Systems

Journal year: 2025 | Journal volume: Online Ready

Article type

scientific article

Publication language

english

Keywords
EN
  • Caputo fractional-order derivative
  • memory - dependent inventory model
  • long memory
  • short memory
  • time - dependent holding cost
  • price - dependent demand
Abstract

EN The fractional calculus significantly contributes to accounting and inventory control for the memory effect. This study introduces an inventory model with a price-influenced demand pattern and a complete backlog shortage, including the memory effect under a fuzzy environment. The proposed lot-sizing model uses the fractional-order derivative to include the memory effect. The primary objectives of this paper are summarized as follows: (i) the impact of the fractional rate of change in inventory level on the fractional inventory system is established, and (ii) price-dependent demand is considered as a triangular fuzzy number, and the total average cost is calculated with the help of two different defuzzification methods, such as signed distance (SD) method as well as the graded mean integration (GMI) method. The impact of the fractional-order rate of change in the proposed inventory system is verified through numerical examples and graphical displays. The unit shortage cost is sensitive to the strong and poor memory effects of SD and GMI methods. The results indicate that, in the SD method and the memory-less case, businesses run a long time to obtain the minimum total average cost, whereas, in the GMI method and the memory-less case, businesses run comparatively significantly little time to obtain the minimum total cost. Finally, some suggestions are given for making another type of fractional model.

Date of online publication

2025

DOI

10.1142/S1752890925500035

URL

https://www.worldscientific.com/doi/epdf/10.1142/S1752890925500035

Ministry points / journal

40