Deep reinforcement learning in production systems: a systematic literature review
Author:
Affiliation:
1. Chair of Business Informatics, Processes and Systems, University of Potsdam, Potsdam, Germany
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1973138
Reference173 articles.
1. Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints
2. Self-learning Processes in Smart Factories: Deep Reinforcement Learning for Process Control of Robot Brine Injection
3. Conducting systematic literature review in operations management
4. Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
5. Baer, Schirin, Jupiter Bakakeu, Richard Meyes, and Tobias Meisen. 2019, September. “Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems.” 2019 Second International Conference on Artificial Intelligence for Industries (AI4I). Laguna Hills, CA: IEEE, pp. 22–25.
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