Improving Efficiency of the Automated Transportation System in a Large-scale Job-shop Factory using Optimization by Simulation Method
-
- YOSHIDA Takufumi
- Corporate Research & Development Center, Toshiba Corporation
-
- HAYASHI Hisashi
- Corporate Research & Development Center, Toshiba Corporation
-
- NISHINARI Katsuhiro
- Research Center for Advanced Science and Technology, the University of Tokyo
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
- Tweet
Details 詳細情報について
-
- CRID
- 1390001204738483840
-
- NII Article ID
- 130004688273
-
- ISSN
- 02896540
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed