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Condition Based Maintenance Decision Making with Delay Time Modeling Open Access


Other title
delay time
condition based maintenance
cost and availability models
net benefit model
decision frontier
Type of item
Degree grantor
University of Alberta
Author or creator
Lipi, Tahmina Ferdousi
Supervisor and department
Dr. Ming J. Zuo, Dept. of Mechanical Engineering
Examining committee member and department
Dr. Mike Lipsett, Dept. of Mechanical Engineering
Dr. Stan Karapetrovic, Dept. of Mechanical Engineering
Department of Mechanical Engineering
Engineering Mangement
Date accepted
Graduation date
2016-06:Fall 2016
Master of Science
Degree level
This research targets to develop condition based maintenance models for better maintenance decisions. We address a condition and age based replacement decision problem using the complete history of measured condition observations to minimize long-run average cost or maximize long-run average availability, or both. To estimate the residual lifetime distribution conditional on the history of observed condition information and current age, a delay time model (DTM) based stochastic filtering process (SFP) is used. A long-run average cost model and a long-run average availability model are analyzed in order to develop the theorems necessary for determining the optimum replacement time. A multi-objective decision frontier is proposed that will help maintenance managers deal with trade-offs between the two objectives to minimize the cost and to maximize availability simultaneously. We also proposed models to integrate imperfect maintenance while making replacement decisions. Finally, in order to show the effectiveness of our proposed models, numerical examples are presented.
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication
Lipi, T. F., Zuo, M. J., Lim, J.-H., Wang, W. (2012) “A Condition Based Replacement Model Using Delay Time Modeling”, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Vol. 226, No. 2, pp. 221-233

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