Sensitivity analysis and comparison of algorithms in preventive maintenance and replacement scheduling optimization models |
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Authors: | Kamran S. MoghaddamAuthor Vitae John S. Usher Author Vitae |
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Affiliation: | Department of Industrial Engineering, University of Louisville, Louisville, KY 40292, USA |
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Abstract: | 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. |
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Keywords: | Preventive maintenance and replacement scheduling Optimization models Multi-component systems Sensitivity analysis Comparison of algorithms |
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