Sensitivity analysis and comparison of algorithms in preventive maintenance and replacement scheduling optimization models

• Published in: Computers & industrial engineering 2011-08, Vol.61 (1), p.64-75
• Main Authors: Moghaddam, Kamran S., Usher, John S.
• Format: Article
• Language: English
• Subjects: Algorithms; Comparison of algorithms; Factorial experiments; Multi-component systems; Optimization; Optimization algorithms; Optimization models; Preventive maintenance; Preventive maintenance and replacement scheduling; Scheduling; Sensitivity analysis; Studies
• ISSN: 0360-8352; 1879-0550
• DOI: 10.1016/j.cie.2011.02.012

In this research, new optimization models are developed to determine the optimal preventive maintenance and replacement schedules in repairable and maintainable systems. The objective is to determine a plan of actions for each component in the system while minimizing the total cost and maximizing overall system reliability over the planning horizon. Experimental results of a sensitivity analysis on the optimization models are presented and evaluated. These experiments investigate the effect of the parameters on the structure of optimal preventive maintenance and replacement schedules in multi-component systems. Two factorial design experiments based on the cost associated with maintenance and replacement activities and reliability characteristic parameters are constructed and analyzed. In addition, a comprehensive experiment is designed to analyze and compare the efficiency and accuracy of the exact and metaheuristic algorithms.