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    Simulation-based decision making for maintenance policy selection for complex systems

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    grasp-2008-11.pdf (216.7Kb)
    Date
    2008-04-25
    Author
    Li, Zhaojun
    Liao, Haitao
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    Citation
    Li, Zhaojun, Liao, Haitao , (2008). Simulation-based decision making for maintenance policy selection for complex systems. In Proceedings: 4th Annual Symposium: Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.29-30
    Abstract
    This paper investigates the performance of deteriorating systems maintained under structural constraints using a simulation approach. Three maintenance polices are investigated, and the performance of the system is measured by the steady-state system availability. The best maintenance policy is chosen with the highest steady-state availability. Unlike those widely used methods that treat such systems as continuous-time Markov processes, the proposed simulation model is able to deal with more general failure time and repair time distributions. Moreover, since desirable performance indices can be easily obtained using this method, it will be an effective tool to assist in selecting the optimal maintenance policy for a complex system.
    Description
    Paper presented to the 4th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 25, 2008.

    Research completed at the Department of Industrial and Manufacturing Engineering, College of Engineering
    URI
    http://hdl.handle.net/10057/1343
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    • ISME Graduate Student Conference Papers
    • Proceedings 2008: 4th Annual Symposium: Graduate Research and Scholarly Projects

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