What is it about?
The product had a n-year warranty and these warranty data is available for all applicable units in an organization. Data on essentially all failures was available for the initial level of operation on all units. A large set of data on Warranty among operational units contains useful information about product quality and reliability. They are available as coarse data because most often they are aggregated values, delayed reports, filtered, missing or vague and more importantly erroneous due to human mistakes. They are only forms of warranty data an organization has. Analyzing such data is therefore needed and can also be of benefit to organization and in identifying early warnings of abnormalities in their products, providing useful information about failures, nature of failure modes to aid design modification, finding out product reliability for warranty policy and predicting future warranty claims needed for preparing warranty reserves plans.
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Why is it important?
Helps to formulate a criteria for avoiding fraudulent claims.
Perspectives
Provides warning against the fraudulent claims
Dr N Ethiraj
Dr.M.G.R Educational and Research Institute
Read the Original
This page is a summary of: Modelling an Optimized Warranty Analysis Methodology for Fleet Industry Using Data Mining Clustering Methodologies, Procedia Computer Science, January 2016, Elsevier,
DOI: 10.1016/j.procs.2016.05.155.
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