Optimization of a Bi-Objective Imperfect Preventive Maintenance Model  
Author Chung-Ho Wang

 
Co-Author(s) Sheng-Wang Tsai; Jiu-Zhang Lu

 
Abstract This study proposes a bi-objective improved genetic algorithm (BOIGA) to optimize a bi-objective imperfect preventive maintenance (BOIPM) model in which the total maintenance cost and the mean system reliability are optimized by determining the maintenance periods and maintenance activities simultaneously. The proposed BOIGA enable simultaneous optimization of the maintenance periods and maintenance activities. The non-dominated solutions from the idea behind Pareto optimization are designed in the proposed BOIGA to determine the superior chromosomes and thereby perform genetic evolution. The diversified multi-objective maintenance alternatives are obtained after optimizing the established BOIPM model by using the proposed BOIGA. An example from past study verifies the effectiveness of the proposed approach.

 
Keywords Imperfect preventive maintenance, Multi-component system, Genetic algorithm, Multi-objective optimization
   
    Article #:  1961
 
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.