| Project/Area Number |
25750121
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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 |
Social systems engineering/Safety system
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
JIN LU 電気通信大学, 大学院情報理工学研究科, 准教授 (00436734)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 信頼性 / 保全性 / 安全性 / 最適方策 / 状態監視保全 / 最適保全方策 / 動的な保全計画 / 非定常マルコフ過程 / 非定常マルコフ決定過程 / Control limit policy / Aging system / Control Limit Policy |
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| Outline of Final Research Achievements |
This project investigates the optimal maintenance decision-making problem for deteriorating systems operating in a variable environment with selectable operations. Since there are strong dynamic interactions among a deteriorating system, its surrounding environment, and the operation being executed, this project formulates the optimal decision-making problem for this system as a non-stationary Markov decision process. The structural properties of the resulting optimal expected cost function are examined, and the optimal maintenance policy is found to be given by a control limit policy under certain conditions. Based on the obtained control limit structure, an algorithm is provided for searching the optimal maintenance policy for a deterioration system under a varying environment. Such maintenance policy enhances the dynamic decision-making process for deteriorating systems operating in a variable environment, and supports the implementation of a system-specific maintenance plan.
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