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A Monte Carlo Approach to Warranty Repair Predictions
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English
Abstract
The paper discusses some statistical aspects of warranty repair predictions in automotive industry. The existing Renewal Process approach to model a single component repairable system is reviewed, and its limitations in terms of applicable TTF distributions are discussed. The Superimposed Renewal Process approach to model a multi component repairable system is then considered and its limitations in terms of the error of the superimposed aggregation are pointed out. Finally, a Monte Carlo approach is presented and its advantages over the conventional methods are discussed.
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Authors
Citation
Kaminskiy, M. and Krivtsov, V., "A Monte Carlo Approach to Warranty Repair Predictions," SAE Technical Paper 972582, 1997, https://doi.org/10.4271/972582.Also In
References
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- Leemis L. Reliability: Probabilistic Models and Statistical Methods Prentice-Hall, INC. New Jersey 1995 0-13-720517-1
- Ayyub B. Kaminsky M. Moser D. Reliability Analysis and Assessment of Hydropower Equipment Technical Report under Contract USDA-CSRS-95COOP-2-1792 U.S. Army Corps of Engineers Institute of Water Resources 1996