Article in Proceedings INPROC-2018-53

BibliographyHirsch, Vitali; Reimann, Peter; Kirn, Oliver; Mitschang, Bernhard: Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing.
In: Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1333-1338, english.
Elsevier BV, May 2018.
Article in Proceedings (Conference Paper).
CR-SchemaH.2.8 (Database Applications)
KeywordsAnalytics; decision support; recommendation system; fault diagnosis; quality control
Abstract

Operators in end-of-line testing of assembly lines often try out multiple solutions until they can solve a product quality issue. This calls for a decision support system based on data analytics that effectively helps operators in fault diagnosis and quality control. However, existing analytical approaches do not consider the specific data characteristics being prevalent in the area of End-of-Line (EoL) testing. We address this issue by proposing an analytical approach that is tailored to EoL testing. We show how to implement this approach in a real-world use case of a large automotive manufacturer, which reveals its potential to reduce unnecessary rework.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)GSaME-NFG
Entry dateJuly 26, 2019
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