| Issue |
RAIRO-Oper. Res.
Volume 60, Number 4, July-August 2026
AFROS2024-OR&AI
|
|
|---|---|---|
| Page(s) | 2095 - 2119 | |
| DOI | https://doi.org/10.1051/ro/2026056 | |
| Published online | 16 July 2026 | |
Dual-channel perishable supply chain: optimal pricing, quality, and screening rate of damage with returns under stochastic demand
1
Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India
2
Department of Mathematics, Tamralipta Mahavidyalaya, Tamluk 721636, West Bengal, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
12
May
2025
Accepted:
8
May
2026
Abstract
This paper investigates a dual-channel, two-echelon supply chain comprising a manufacturer and a retailer for a single perishable product. In today's global marketplace, a well-designed return policy is a crucial element that can lead to higher revenues, reduced expenses, improved profitability, and enhanced customer loyalty. Offering the option to return perishable goods can significantly increase consumer willingness to purchase them. The model incorporates a return policy, recognizing its importance in enhancing consumer acceptance and demand in both traditional retail and the manufacturer's e-tail channels. Analytical solutions are derived for centralized and decentralized systems to optimize decision variables that maximize total profit. Numerical examples illustrate the model's findings, revealing that a return policy for perishable goods significantly benefits the supply chain members by increasing profit, particularly with higher demand.
Mathematics Subject Classification: 90B50 / 93E20
Key words: Dual channel supply chain / quality of product / damage rate / return policy / stochastic demand
© The authors. Published by EDP Sciences, ROADEF, SMAI 2026
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
