Reliability assessment methodology considering usage profile & warranty claims Conference Paper uri icon

abstract

  • Providing accurate reliability prediction based on small proportion of failed population or test data has always been a challenging tasks. Companies rely heavily on reliability prediction data to design warranty plan. Further, to predict the warranty claims for the remaining warranty period, it is important to have more realistic reliability assessment by considering large proportion of the population or maximum possible information on the remaining population. However, in reality this information is not readily available and very difficult to gather information on the scattered population. In this work, we proposed to develop customer usage rate profile to generate censored data on remaining population that did not have any failure and warranty claims so far. We intend to use whatever information available such as warranty claims, field failure, survey data, or maintenance data to develop usage rate profile and subsequently estimate censored time. Finally, reliability assessment methodology is developed considering both censored data and field failure data to provide more reasonable reliability prediction for remaining warranty period. The methodology will be demonstrated considering real life data from one of the big manufacturing company.

published proceedings

  • IIE Annual Conference and Expo 2014

author list (cited authors)

  • Limon, S., Yadav, O. P., Zhuang, X., & Nepal, B.

complete list of authors

  • Limon, S||Yadav, OP||Zhuang, X||Nepal, B

publication date

  • January 2014