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- YOSHIDA Takumi
- Hiroshima University
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- EGUCHI Toru
- Hiroshima University
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- MURAYAMA Takeshi
- Hiroshima University
Bibliographic Information
- Other Title
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- 作業者を考慮したジョブショップスケジューリング
- (Learning Priority Rule Using Neural Network)
- (ニューラルネットワークを用いた優先規則の学習)
Abstract
<p>This paper deals with a job shop scheduling problem that considers the skill difference of operators. A priority rule for this problem is constructed using a neural network. A neural network learns from input-output pairs extracted from a schedule optimized using an IP solver for small-scale problem instances. Through numerical experiments, it was found that trained neural network by the proposed method showed better performance than the existing priority rules even in larger scale problem instances.</p>
Journal
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- The Proceedings of Mechanical Engineering Congress, Japan
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The Proceedings of Mechanical Engineering Congress, Japan 2023 (0), S141p-02-, 2023
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390581070827331456
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- ISSN
- 24242667
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed