DocumentCode
2290249
Title
A simple method for predicting the cumulative failures of consumer products during the warranty period
Author
Sarawgi, Nina ; Kurtz, Stewart K.
Author_Institution
Pennsylvania State Univ., University Park, PA, USA
fYear
1995
fDate
16-19 Jan 1995
Firstpage
384
Lastpage
390
Abstract
In the design and manufacturing of both consumer and commercial products, an important design criteria is the length of the warranty period measured in calendar time. It is very important to know the expected number of failures during the warranty period. This paper provides an engineering tool that will predict the cumulative failures over the warranty period based on laboratory life data and the usage rate data for the products that are operated for only a limited fraction of the total available time. This method uses a joint distribution of the usage rate distribution and the laboratory life distribution to translate usage time to calendar time and not the mean usage since the product use in the field also follows a broad statistical distribution. The proposed technique permits an accurate calculation of the cumulative field failure over prospective warranty periods and thus is useful as an engineers´ tool in design optimization as well as in decisions on product release
Keywords
design engineering; failure analysis; probability; reliability theory; statistical analysis; calendar time; consumer products; cumulative failure prediction; cumulative field failure; design criteria; engineering tool; joint distribution; laboratory life distribution; manufacturing; optimization; product release decisions; usage rate distribution; warranty period; Calendars; Data engineering; Design engineering; Laboratories; Length measurement; Manufacturing; Product design; Statistical distributions; Time measurement; Warranties;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1995. Proceedings., Annual
Conference_Location
Washington, DC
ISSN
0149-144X
Print_ISBN
0-7803-2470-6
Type
conf
DOI
10.1109/RAMS.1995.513273
Filename
513273
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