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The paper explores uniform-machine scheduling problems in green manufacturing systems, applying machine learning techniques to optimize production processes and reduce environmental impact.

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Abstract

Key findings

  • Machine learning algorithms can effectively solve uniform-machine scheduling problems in green manufacturing systems, improving production efficiency and reducing energy consumption.
  • The proposed MFC-based approach outperforms traditional methods in terms of solution quality and computational efficiency.
  • The study demonstrates the potential of machine learning in green manufacturing, highlighting the need for further research in this area.

Keywords

Scheduling (production processes)Manufacturing engineeringIndustrial engineering

Identifiers

DOI
10.3934/mfc.2024020
Journal
Mathematical Foundations of Computing
Year
2024