Optimization of Preventive Maintenance for a System with Aging Components  
Author Chun-Ho Wang


Co-Author(s) Chao-Hui Huang; Yo-Yang Lin


Abstract This study aims to construct an optimal preventive maintenance (PM) model from the perspective of components for a system with aging components. The constructed PM model is to maximize the minimum system availability during planning horizon given the allowable total maintenance cost. The decision variables optimized involve determining the maintenance activities of components in degraded states. Mathematically, the general non-homogeneous continuous-time Markov model (NHCTMM) and its analogous Markov reward model (NHCTMRM) are used to obtain system availability and maintenance cost. This study utilizes the bound approximation approach to solve the established NHCTMMs and NHCTMRMs to overcome their inherent computational difficulties. For optimization, a genetic algorithm is adopted to optimize the proposed PM model. A simulation illustrates the feasibility of the proposed approach.


Keywords Aging components, preventive maintenance, non-homogeneous continuous-time Markov models
    Article #:  22055
Proceedings of the 22nd ISSAT International Conference on Reliability and Quality in Design
August 4-6, 2016 - Los Angeles, California, U.S.A.