Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing-Reference-Cited by-同舟云学术

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Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing

Published:2024-10 Issue: Volume:76 Page:188-206
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Chen Xin,Li Yibing,Wang Kaipu,Wang Lei,Liu Jie,Wang Jun,Wang Xi Vincent

Funder

Hubei Province Natural Science Foundation

Publisher

Elsevier BV

Reference61 articles.

1. Towards resilience in industry 5.0: a decentralized autonomous manufacturing paradigm;Leng;J Manuf Syst,2023

2. A Knowledge Graph-based knowledge representation for adaptive manufacturing control under mass personalization;Qin;Manuf Lett,2023

3. A flexible smart manufacturing system in mass personalization manufacturing model based on multi-module-platform, multi-virtual-unit, and multi-production-line;Zhang;Comput Ind Eng,2022

4. Hybrid flow-shop scheduling in collaborative manufacturing with a multi-crossover-operator genetic algorithm;Guan;J Ind Inf Integr,2023

5. A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop;Lu;Expert Syst Appl,2022

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