DocumentCode
1940327
Title
Warranty Cost Forecast Based on Car Failure Data
Author
Hrycej, Tomas ; Grabert, Matthias
Author_Institution
DaimlerChrysler Res. Center, Ulm
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
108
Lastpage
113
Abstract
A failure and warranty cost model is gained from a failure database. The model is a combination of statistical components with a multi-layer perceptron and a cross-entropy based learning rule. The model is used for forecasting warranty costs in alternative warranty condition scenarios. The estimate of forecast variance considers both the individual vehicle risk and the overall manufacturing quality fluctuation risk.
Keywords
automobiles; costing; failure analysis; multilayer perceptrons; reliability; alternative warranty condition scenarios; car failure data; cross-entropy based learning rule; manufacturing quality fluctuation risk; multilayer perceptron; warranty cost forecast; Costs; Data mining; Databases; Fluctuations; Manufacturing; Neural networks; Predictive models; Roads; Vehicles; Warranties;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4370939
Filename
4370939
Link To Document