A Multi-Objective Approach to Optimize a Periodic Maintenance Policy  
Author Antonella Certa

 
Co-Author(s) Mario Enea; Giacomo Galante; Toni Lupo

 
Abstract The present paper proposes a multi-objective approach to find an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical inspections ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that the failed system elements are repaired by means of minimal repair actions in order to rapidly restore the system. A non-linear integer mathematical programming model is developed to solve the treated multi-objective problem while the Pareto optimal frontier is described by the Lexicographic Goal Programming and the ε-constraint methods. To explain the whole procedure a numerical application related to a case study is given.

 
Keywords Periodic maintenance; multi-component system; multi-objective optimization, non-homogeneous Poisson Process
   
    Article #:  18181
 
Proceedings of the 18th ISSAT International Conference on Reliability and Quality in Design
July 26-28, 2012 - Boston, Massachusetts, U.S.A.