Sensitivity analysis and comparison of algorithms in preventive maintenance and replacement scheduling optimization models $1Kamran S. Moghaddam$1John S. Usher; $1Department of Industrial Engineering, University of Louisville, Louisville, KY 40292, USA;

摘要

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. © 2011 Elsevier Ltd. All rights reserved. 【Keywords】Preventive maintenance and replacement scheduling Optimization models Multi-component systems Sensitivity analysis Comparison of algorithms;