Improving Efficiency of the Automated Transportation System in a Large-scale Job-shop Factory using Optimization by Simulation Method

DOI

Bibliographic Information

Other Title
  • シミュレーションによる最適化手法を用いた大規模ジョブショップ型工場における搬送効率の改善

Abstract

We developed a simulation-optimization integration system, for the purpose of improving efficiency of the automated transportation system in a large-scale job-shop factory. In such a factory, many semi-finished goods are delivered to and from shops by automatically controlled vehicles. Those vehicles are required to move efficiently since the traffic jam of vehicles may lower the production efficiency of the shops. In order to implement the simulation-optimization integration system, we used NETLOGO, a multi-agent simulator, and αPSO, an optimization algorithm, which are appropriate for simulating and optimizing such a stochastic complex system as an automated transportation network. We conducted some feasibility studies and found two cases where the efficiencies of the transportation improve: we optimized distance-velocity relation between vehicles, which could increase the flow of the vehicles by 22.1%; we also optimized green period of the signal at the crossing of the transportation, which could reduce the travel time of the vehicles by 12.8%.

Journal

  • Computer Software

    Computer Software 31 (3), 3_130-3_140, 2014

    Japan Society for Software Science and Technology

Details 詳細情報について

  • CRID
    1390001204738483840
  • NII Article ID
    130004688273
  • DOI
    10.11309/jssst.31.3_130
  • ISSN
    02896540
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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