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Simulation-based decision making for maintenance policy selection for complex systems
Li, Zhaojun Liao, Haitao
Li, Zhaojun
Liao, Haitao
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grasp-2008-11.pdf
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2008-04-25
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Conference paper
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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.
Table of Contents
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
Research completed at the Department of Industrial and Manufacturing Engineering, College of Engineering
Publisher
Wichita State University. Graduate School.
Journal
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Series
GRASP
v.4
v.4