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As an NP-hard problem, production scheduling requires considerable time to obtain even an approximate solution. This article investigates the feasibility of using a deep learning model to solve typical single-machine scheduling problems. In experiments, the proposed model demonstrated high learning efficiency and prediction accuracy in addressing these problems.

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Using Deep Learning Models to Solve Single Machine Scheduling Questions

  • 会议论文

  • 发表日期：

    2026年

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  • Jian-Feng Chen,
  • Yi-Chung Chen

摘要

As an NP-hard problem, production scheduling requires considerable time to obtain even an approximate solution. This article investigates the feasibility of using a deep learning model to solve typical single-machine scheduling problems. In experiments, the proposed model demonstrated high learning efficiency and prediction accuracy in addressing these problems.