Dynamic prediction of repair costs in heavy-duty trucks

Dynamic prediction of repair costs in heavy-duty trucks

Pricing of repair and maintenance (R&M) contracts is one among the most important processes carried out at Scania. Predictions of repair costs at Scania are carried out using experience-based prediction methods which do not involve statistical methods for the computation of average repair co...

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Bibliographic Details
Main Author: Saigiridharan, Lakshidaa
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2020
Subjects:
Hurdle Gamma model
Hierarchical hurdle Gamma model
Generalized linear model (GLM)
Supervised Machine Learning
feature selection
Akaike Information Criterion (AIC)
prediction of repair costs
heavy-duty trucks
truck variants
operational features
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166133

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166133

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