Optimal maintenance policy for non-stationary deteriorating systems subject to varying factors

2016 Fiscal Year Final Research Report

• Project/Area Number: 25750121
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Social systems engineering/Safety system
• Research Institution: The University of Electro-Communications
• 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)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: 信頼性 / 保全性 / 安全性 / 最適方策

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.

Free Research Field

信頼性工学・保全性工学