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Warranty claims analysis for household appliances produced by ASKO Appliances AB
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The input collected from warranty claims data links customer feedback with product quality. Results from warranty claim analysis can potentially improve product quality, customer relationships and positively affect business. However working on warranty claims data holds many challenges that requires a significant share of time devoted to data cleaning and data processing.

The purpose of warranty claims analysis is to get the comprehensive overview of the reliability, costs and quality of household appliances produced by ASKO. While there are different ways to approach this problem, we will focus on non-parametric and semi-parametric methods, by using Kaplan-Meier estimators and Cox proportional hazard model respectively. These kinds of models are time dependent and therefore used for prediction of household appliance reliability. Even though non-parametric models are quite informative they cannot handle additional characteristics about observable product hence the semi-parametric Cox proportional hazard model was proposed. Apart from the reliability analysis, we will also predict warranty costs with probit model and observe inequality in household appliances part failures as a part of quality control analysis. Described methods were selected due to the fact that the warranty claims analysis will be practiced in future by ASKO’s quality department and therefore straight forward methods with very informative results are needed.

Place, publisher, year, edition, pages
2013. , 61 p.
Keyword [en]
Household appliances, warranty claims, reliability analysis, Cox proportional hazard model, marginal Cox model, probit model, Pareto rule
National Category
Other Computer and Information Science
URN: urn:nbn:se:liu:diva-96955ISRN: LIU-IDA/STAT-A--13/005--SEOAI: diva2:644626
2013-06-04, 11:30 (English)
Available from: 2013-09-03 Created: 2013-08-31 Last updated: 2013-09-03Bibliographically approved

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