Prognostics and Health Management (PHM) is a methodology that permits the assessment of product reliability and the prediction of remaining useful life (RUL) under life-cycle conditions through continuous monitoring. This paper addressed a unique use of PHM for business warranties. PHM is able to help understand what went wrong quickly and exactly in a product. PHM will assist companies to make...

Type 2 diabetes mellitus is among the most powerful independent risk factors of the cardiovascular disease presence and is associated with a 3 to 5× higher cardiovascular event risk. This has long been recognized by the National Cholesterol Education Program report in the United States and European guidelines, both labeling type 2 diabetes mellitus a coronary artery disease (CAD) equivalent. Al...

Warranty claims and supplementary data contain useful information about product quality and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying early warnings of abnormalities in their products, providing useful information about failure modes to aid design modification, estimating product reliability for deciding on warranty policy and forecasting futur...

Type 2 diabetes mellitus is among the most powerful independent risk factors of the cardiovascular disease presence and is associated with a 3 to 5× higher cardiovascular event risk. This has long been recognized by the National Cholesterol Education Program report in the United States and European guidelines, both labeling type 2 diabetes mellitus a coronary artery disease (CAD) equivalent. Al...

A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...

5 Warranty claims reported in recent months might carry more up-to-date information than 6 those reported in earlier months. Using weighted maximum likelihood estimation for esti7 mating model parameters might therefore lead to better performance of warranty forecast8 ing models than maximum likelihood estimation. This paper examines this issue and also 9 presents comparison of the forecasting ...

This paper presents a warranty forecasting method based on stochastic simulation of expected product warranty returns. This methodology is presented in the context of a high-volume product industry and has a specific application to automotive electronics. The warranty prediction model is based on a piecewise application of Weibull and exponential distributions, having three parameters, which ar...