Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

Warranty claims and supplementary data contain useful information about product quality
and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying …

Methods and results are presented for applying supervised machine learning techniques to
the task of predicting the need for repairs of air compressors in commercial trucks and …

Academics and practitioners have a common interest in the continuing development of
methods and computer applications that support or perform knowledge-intensive …

In many industries inclusive of automotive vehicle industry, predictive maintenance has
become more important. It is hard to diagnose failure in advance in the vehicle industry …

In automotive domain, overwhelming volume of textual data is recorded in the form of repair
verbatim collected during the fault diagnosis (FD) process. Here, the aim of knowledge …

The warranty data plays a crucial role in the improvement of the manufactured product.
Association rule analysis is an efficient methodology for eliciting useful information from …

Zusammenfassung Die Gewinnung von Wissen aus großen Datenbeständen basiert oftmals
auf der statistischen und teilweise manuellen Analyse und Interpretation. Die Menge an …

This study proposed a data mining framework for predicting sequential patterns of
maintenance activities. The framework consisted of data collection, prediction of …

Manufacturing companies not only strive to deliver flawless products but also monitor
product failures in the field to identify potential quality issues. When product failures occur …