Issue |
RAIRO-Oper. Res.
Volume 59, Number 1, January-February 2025
|
|
---|---|---|
Page(s) | 77 - 99 | |
DOI | https://doi.org/10.1051/ro/2024215 | |
Published online | 06 January 2025 |
Effects of memory on inventory control and pricing policy for imperfect production with rework process
Indian Institute of Technology Roorkee, Roorkee 247667, India
* Corresponding author: psingh@ma.iitr.ac.in
Received:
18
July
2022
Accepted:
12
November
2024
Fractional calculus is a pertinent way to study the memory effect in an inventory model for investigating its dynamical behavior. Since inventory management is a memory-dependent process, fractional calculus approach may be employed to discover some fruitful insights and can help to gain more profit. In realistic scenarios, the manufacturing process cannot be perfect, and it delivers some faulty units due to many inevitable reasons. In literature, an imperfect production inventory problem under the memory effect has not been studied. Our study aims to investigate the memory effect on a production inventory system. In this article, a fractional order inventory control problem is formulated by considering an imperfect manufacturing process and price-sensitive demand. The faulty units are repaired through a rework process. Caputo fractional derivatives and integrals are used to consider the memory effect. Due to the nonlinear cost elements in the formulated problem, optimal pricing and production policies are investigated by using a quasi-Newton optimization algorithm and particle swarm optimization approach. The managerial implications of the proposed study are discussed with the help of numerical illustrations. The numerical outcomes suggest that consideration of memory in the inventory system boosts the profitability of the firm.
Mathematics Subject Classification: 26A33 / 90B05
Key words: Inventory / memory effect / fractional calculus / imperfect production / price sensitive demand
© The authors. Published by EDP Sciences, ROADEF, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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