Warranty Data Analysis: A Review

Abstract

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 future warranty claims needed for preparing fiscal plans.In the last two decades, considerable research has been conducted in warranty data analysis (WDA) from several different perspectives. This article attempts to summarise and review the research and developments in WDA with emphasis on models, methods and applications. It concludes with a brief discussion on current practices and possible future trends in WDA.Dr Shaomin Wu is a lecturer in risk and decision analysis at Cranfield University. His research interests include warranty data analysis, risk analysis, reliability analysis, maintenance policy optimisation and warranty policy optimisation. He has served as a co-chairman of an international conference and a PC Member of a number of international conferences in reliability engineering and computer sciences. He is also an Editorial Board Member on three international journals. He has published over 35 papers in international journals.

Improving root cause analysis through the integration of PLM systems with cross supply chain maintenance data

“…Karim and Suzuki [11], through a literature review, classify the analysis of warranty data in nine categories based on the different statistical models and methods used. The study of Wu [12] is an excellent review article that clusters the different warranty analysis techniques in five areas.…”

Construction of asymmetric copulas and its application in two-dimensional reliability modelling

“…There is considerable research on warranty data analysis. For more detailed discussion, the reader is referred to recently published review papers [13,14] and papers on reliability data analysis (see [15][16][17], for example).…”

“…Derivation of the lifetime distribution for systems is important for both product manufacturers and users [13,14].…”

Improvement in Product Development: Use of back-end data to support upstream efforts of Robust Design Methodology

“…This is connected to the contribution of claims data analysis towards new product development (Wu, 2012). Information related to product failures can be extended to product reliability measures (Buddhakulsomsiri et al, 2006).…”