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Reliability Prediction From Warranty Data
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English
Abstract
From warranty data analyzed after six months or less of field service, one can predict product reliability and lifetime warranty cost and repair rates… as much as two and one-half years ahead-of the-fact. In addition to reliability prediction, warranty data analyses can be used to identify differences in problem rates between assembly plants, months of production, vendor sources, and vehicle options, and can describe the type of complaint for each part. This close tracking of field performance quickly spots any new problems, helps to identify causes, and guides future plans. This paper describes how Ford Motor Company organizes warranty input data, analyzes it using Weibull distribution programmed on a computer, and uses the results.
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Authors
Citation
SIMPSON, B., "Reliability Prediction From Warranty Data," SAE Technical Paper 660060, 1966, https://doi.org/10.4271/660060.Also In
References
- Gallant Raymond A. “Experimental and Statistical Analysis of Dome Lamp Quality.” Paper No. 533C presented at SAE Summer Meeting Atlantic City N. J. June 1962
- Lipson Charles Kerawalla Jal Mitchell Larry “Engineering Applications of Reliability,” Ann Arbor, Mich. The University of Michigan 1963
- Johnson Leonard G. “The Statistical Treatment of Fatigue Experiments,” New York, N. Y. American Elsevier Publishing Co. Inc. 1964
- Coutinho John de S. “Whither Reliability?” Paper No. 64-249 presented at 1st AIAA Annual Meeting Washington, D.C. July 1964
- Ponta Peter H. “Process and Product Control,” Annual Convention Transactions”, 1964, American Society for Quality Control Milwaukee, Wisconsin 193 203
- Simpson Bruce H. “The Ford Engineering Reliability Program,” Annals of Reliability and Maintainability 4 Washington, D.C. Spartan Books Inc. 1965 171 181