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Optimization of multi-cycle multi-objective remanufacturing green supply chain network based on improved deep reinforcement learning algorithm considering differentiated incentive compatibility mechanisms

Crossref DOI link: https://doi.org/10.1007/s10479-026-07099-9

Published Online: 2026-03-02

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Zhen https://orcid.org/0000-0003-2906-4422
Ye, Chunming

Guo, Jianquan https://orcid.org/0000-0003-1173-8302
Funding

Funding for this research was provided by:

Shanghai Office of Philosophy and Social Science (2022BGL010)

National Natural Science Foundation of China (71840003)

Scientific and Innovative Action Plan of Shanghai under Grants (20692104300)
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Text and Data Mining valid from 2026-03-02

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Article History

Received: 30 May 2024

Accepted: 4 February 2026

First Online: 2 March 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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