Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in Disassembly Factory
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3948-6_16
Reference12 articles.
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4. Chang, M., Ong, S., Nee, A.: Approaches and challenges in product disassembly planning for sustainability. Procedia Cirp 60, 506–511 (2017)
5. Mohan, J., Lanka, K., Rao, A.N.: A review of dynamic job shop scheduling techniques. Procedia Manuf. 30, 34–39 (2019)
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