作業者を考慮したジョブショップスケジューリング

書誌事項

タイトル別名
  • Job Shop Scheduling with Operators
  • (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)

抄録

<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>

収録刊行物

  • 年次大会

    年次大会 2023 (0), S141p-02-, 2023

    一般社団法人 日本機械学会

詳細情報 詳細情報について

問題の指摘

ページトップへ