Machine learning‐based scheduling: a bibliometric perspective
Abstract In recent years, the rapid development of artificial intelligence and data science has given rise to the study of data driven algorithms in highly volatile systems. The scheduling of complex shop floor resources falls into such a category, which is often non‐linear in nature, time varying,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
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| Series: | IET Collaborative Intelligent Manufacturing |
| Online Access: | https://doi.org/10.1049/cim2.12004 |