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Computers and Operations Research
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ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
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Computers in Industry - Special issue: E-maintenance
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Applied Stochastic Models in Business and Industry
RAMS '06 Proceedings of the RAMS '06. Annual Reliability and Maintainability Symposium, 2006.
Cost-effective condition-based maintenance using markov decision processes
RAMS '06 Proceedings of the RAMS '06. Annual Reliability and Maintainability Symposium, 2006.
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
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Computers and Industrial Engineering
Optimal replacement policy for a cumulative damage model with time deterioration
Mathematical and Computer Modelling: An International Journal
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Computers and Industrial Engineering
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International Journal of Enterprise Information Systems
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This paper presents an overview of two maintenance techniques widely discussed in the literature: time-based maintenance (TBM) and condition-based maintenance (CBM). The paper discusses how the TBM and CBM techniques work toward maintenance decision making. Recent research articles covering the application of each technique are reviewed. The paper then compares the challenges of implementing each technique from a practical point of view, focusing on the issues of required data determination and collection, data analysis/modelling, and decision making. The paper concludes with significant considerations for future research. Each of the techniques was found to have unique concepts/principles, procedures, and challenges for real industrial practise. It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one. However, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions. The paper provides useful information regarding the application of the TBM and CBM techniques in maintenance decision making and explores the challenges in implementing each technique from a practical perspective.