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Comparison of sequential and continuous inspection strategies for deteriorating systems

Part of: Operations research and management science Special processes

Published online by Cambridge University Press:  01 July 2016

C. Teresa Lam  and
R. H. Yeh
C. Teresa Lam*
Affiliation:
The University of Michigan
R. H. Yeh*
Affiliation:
The University of Michigan
*
* Postal address: Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109, USA.
** Present address: Department of Industrial Management, National Taiwan Institute of Technology, 43 Keelung Road Section 4, Taipai, Taiwan.
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Abstract

This paper investigates inspection strategies for a finite-state continuous-time Markovian deteriorating system. Two inspection strategies are considered: sequential inspection and continuous inspection. Unlike many previous efforts, the inspection times for the sequential inspection strategy are assumed to be non-negligible. The replacement times and costs for both strategies are non-negligible and state dependent. Our objective here is to minimize the expected long-run cost rate. Iterative algorithms are provided to derive the optimal policies for both strategies. The structures of these optimal policies and their corresponding optimal cost rates are discussed and compared.

Keywords

CONTINUOUS-TIME MARKOVIAN MODELEXPECTED LONG-RUN COST RATESEQUENTIAL INSPECTION STRATEGYPERIODIC INSPECTION STRATEGYCONTINUOUS INSPECTION STRATEGYCONTROL-LIMIT POLICIES

MSC classification

Primary: 90B25: Reliability, availability, maintenance, inspection
Secondary: 60K10: Applications (reliability, demand theory, etc.) 90C40: Markov and semi-Markov decision processes

Information

Type
General Applied Probability
Information
Advances in Applied Probability , Volume 26 , Issue 2 , June 1994 , pp. 423 - 435
Copyright
Copyright © Applied Probability Trust 1994 

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Footnotes

Research supported in part by a grant from the Research Partnership Program, Horace H. Rackham School of Graduate Studies, University of Michigan.

References

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