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New-generation AI-driven intelligent decision-making and inventory optimization in the full lifecycle of complex product manufacturing integrating LSTM and Q-learning

Crossref DOI link: https://doi.org/10.1038/s41598-026-41629-6

Published Online: 2026-02-26

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

Authors

Jiang, Zhao https://orcid.org/0000-0002-8773-1695
Dan, Wu

Yu-fei, Cao
Funding

Funding for this research was provided by:

Cultivation Project for Leading Talents in Philosophy and Social Sciences of Zhejiang Province (26QNYC025ZD)

Zhejiang Provincial Education Project (2025SCG137)

Zhejiang Provincial Soft Science Research (2026C25014)

Research Project of Humanities and Social Sciences of the Ministry of Education (24YJAZH173)
License Information

Text and Data Mining valid from 2026-02-26

Version of Record valid from 2026-04-01
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Article History

Received: 26 December 2025

Accepted: 22 February 2026

First Online: 26 February 2026

Declarations

:

: The authors declare no competing interests.

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