Issue |
RAIRO-Oper. Res.
Volume 58, Number 6, November-December 2024
|
|
---|---|---|
Page(s) | 4971 - 4995 | |
DOI | https://doi.org/10.1051/ro/2024189 | |
Published online | 06 December 2024 |
Coordination of a socially responsible two-stage supply chain under random yield and demand
1
Center for Food Security and Strategic Studies, Nanjing University of Finance and Economics, Nanjing 210003, P.R. China
2
School of Mechanical Engineering, Southeast University, Nanjing 211189, P.R. China
* Corresponding author: txzhaoxia@163.com
Received:
8
September
2022
Accepted:
14
September
2024
This study integrates corporate social responsibility (CSR) and channel coordination in a supply chain (SC) under random yield and random demand. In the SC, a supplier with random yield determines wholesale price and production input, and a producer with CSR decides order quantity and CSR investment facing CSR-related random demand. For centralized SCs with and without CSR, we prove the unimodality of the expected profits of the SCs for generic random yield and demand, and show the uniqueness of optimal ratio of order quantity to production input quantity. We disclose that the optimal expected profit of the SC with CSR is larger than that of the SC without CSR, and the profit difference increases with CSR effort and expected yield. We also find that the optimal CSR investment increases with the expected yield. Subsequently, the Nash equilibrium solutions of decentralized SCs under wholesale price and revenue-sharing contracts are analyzed. Next, we present a revenue and CSR sharing contract to realize channel coordination and win-win of SC members and related stakeholders. Lastly, we verify theoretical statements of centralized and decentralized SCs versus three numerical examples, and present managerial insights for the effect of yield uncertainty and CSR effort.
Mathematics Subject Classification: 90B06 / 90B60
Key words: Supply chain management / corporate social responsibility / random yield / random demand / revenue-sharing contract
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
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.