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
Link To Document :
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