| Project/Area Number |
24760210
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | Aichi University of Technology (2013)
Tokyo Metropolitan University (2012) |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 情報システム / 離散・連続混合システム / 機械学習 / 技能教育 / スケジューリング / シミュレーション / 強化学習 / on the job training / 保守作業 / 大規模システム / 遺伝アルゴリズム |
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| Research Abstract |
As of skillful works such as maintenance works of airplanes, workers have to learn many kinds of works with OJT. However, it is difficult to balance between working efficiency and keeping the number of skilled workers by performing OJT. The purpose of this study is to develop a scheduling support system considering working efficiency and skill education. First, the author proposes an education coefficient (EC) as a parameter that adjusts the frequency of OJT and a scheduling support system for the long-term scheduling of OJT. Next, the author proposes a simulation-based scheduling support system using reinforcement learning to adjust the value of EC automatically based on the specific situations by considering the balance between working efficiency and skill education.
The author also constructs discrete-continuous hybrid system models of the maintenance workspace using scene transition nets which are graphical modeling and simulation tools for hybrid systems.
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