A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer

Author:

Wu Yuting,Wang LingORCID,Li RuiORCID,Chen Jing-fang

Funder

State Key Lab of Digital Manufacturing Equipment and Technology

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference52 articles.

1. How seru production system improves manufacturing flexibility and firm performance: an empirical study in China;Liu;Ann. Oper. Res.,2022

2. Seru production as an alternative to a traditional assembly line;Patryk;Eng. Manage. Prod. Serv.,2018

3. Seru: the organizational extension of JIT for a super-talent factory;Kathryn;Int. J. Strateg. Decis. Sci.,2012

4. Seru seisan-an innovation of the production management mode in Japan;Liu;Asian J. Technol. Innov.,2010

5. The evolution of seru production systems throughout canon;Yin;Oper. Manag. Educ. Rev.,2008

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