Minimizing Periodic Preventive Maintenance Costs in Series-Parallel Systems Using Improved Genetic Algorithm  
Author Yi Hsu




Abstract This work proposes an improved genetic algorithm (IGA) for minimizing periodic preventive maintenance costs in series-parallel systems given the allowable worst system reliability. A novel importance measure of components is developed to assess the importance of components during mission duration. Accordingly, the proposed IGA has two stages. The first stage identifies important components for a repairable series-parallel system. The second stage determines the optimal maintenance periods of important components using the IGA search mechanism. An adjustment mechanism is established to make the chromosomes move back to feasible area in case the chromosomes fall into infeasible area. A simulated case demonstrates the effectiveness and practicality of the proposed approach.


Keywords Periodic preventive maintenance; Reliability; Importance measure; Genetic algorithms
    Article #:  1962
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.