Advances in Production Engineering & Management
Volume 11 | Number 1 | March 2016 | pp 38–48
http://dx.doi.org/10.14743/apem2016.1.208
A bi-objective inspection policy optimization model for finite-life repairable systems using a genetic algorithm
Ramadan, S.
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A B S T R A C T
This paper presents a bi-objective optimization model for finding the optimal number and optimal aperiodic times for the inspections of finite-life repairable systems when the availability of the component and the total maintenance cost are under consideration. The model utilizes the delay-time concept under perfect inspection assumption. The defect arrival process is modelled using the nonhomogeneous Poisson process and the failure times are probabilistic. The solution to this problem is NP-hard, therefore, a mutation-based genetic algorithm has been designed to solve the model. The effectiveness of the model was demonstrated using seven illustrative examples and compared to an existing classical periodic inspection model that uses a fixed number of inspections. The results showed that the proposed model did better (in all of the attributes) than the aperiodic model that using a fixed number of inspections. Furthermore, the results showed that the proposed model gave better results than a single-objective aperiodic model. The proposed model is a general model that can be implemented with different rates of occurrence of defects and different delay-time distributions. Also this model can be extended easily to cover complex systems and imperfect inspection cases.
A R T I C L E I N F O
Keywords • Maintenance, Aperiodic inspection, Periodic inspection, Delay-time, Multi-objective optimization, Genetic algorithms
Corresponding author • Ramadan, S.
Article history • Received 14 September 2015, Revised 29 September 2015, Accepted 19 October 2015
Published on-line • 7 February 2016
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