| Issue |
RAIRO-Oper. Res.
Volume 59, Number 5, September-October 2025
|
|
|---|---|---|
| Page(s) | 2749 - 2777 | |
| DOI | https://doi.org/10.1051/ro/2025095 | |
| Published online | 02 October 2025 | |
Effects of electronic product modularity on recovery strategy selection
1
School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P.R. China
2
ERC for Process Mining of Manufacturing Services in Shaanxi Province, Xi’an, Shaanxi 710049, P.R. China
3
Driehaus College of Business, DePaul University, Chicago, IL 60604, USA
* Corresponding author: wangnm@mail.xjtu.edu.cn
Received:
14
March
2024
Accepted:
2
July
2025
Modular design increases product reusability and boosts the circulation of resources. This paper investigates how modular design impacts manufacturer and retailer pricing decisions, and their collection efficiencies, across three recovery strategies: manufacturer monopoly recovery, cooperative recovery, and retailer monopoly recovery. Then, Stackelberg game models are proposed to analyze the optimal recovery strategies that balance economic goals (supply chain profits) and environmental objectives (collection quantity). The findings reveal that investing in modularity enhances both profitability and collection efficiency in all three strategies. When modularity is endogenous, manufacturer monopoly recovery achieves a higher optimal modularity level than cooperative recovery, indicating a need for greater investment when manufacturers have more control over recovery. With exogenous modularity, the preferred recovery strategy depends on the level of modularity: manufacturer monopoly recovery is optimal for moderate modularity, delivering both the highest collection quantity and supply chain profits. As modularity increases, manufacturer monopoly recovery achieves higher collection quantity, while retailer monopoly recovery maximizes supply chain profits. Overall, a monopoly recovery approach leverages the benefits of high modularity more effectively than a cooperative strategy, yielding superior economic and environmental outcomes. Our models offer insights into improving recovery business efficiency through modular design and diversified disposal options.
Mathematics Subject Classification: 90B06 / 91A10
Key words: Product modularity / disposal options / pricing decisions / closed-loop supply chain
© 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.
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.
