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

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 ov...

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Vydáno v:Computers & industrial engineering Ročník 61; číslo 1; s. 64 - 75
Hlavní autoři: Moghaddam, Kamran S., Usher, John S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Ltd 01.08.2011
Pergamon Press Inc
Témata:
Algorithms
Comparison of algorithms
Cost engineering
Factorial experiments
Maintenance
Mathematical models
Multi-component systems
Optimization
Optimization algorithms
Optimization models
Preventive maintenance
Preventive maintenance and replacement scheduling
Schedules
Scheduling
Sensitivity analysis
Studies
Comparison of algorithms
Preventive maintenance and replacement scheduling
Sensitivity analysis
Optimization models
Multi-component systems
ISSN:0360-8352, 1879-0550
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Shrnutí: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.
Bibliografie:SourceType-Scholarly Journals-1
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ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2011.02.012