Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period

Abstract

Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period. So far, various methods have been used to address this problem, from discrete event simulation and time series, to machine learning predictive models.

Keywords

• manufacturing
• product lifecycle
• management product failure
• machine learning
• prediction
• c45
• c53