| Bibliography | Wagner, Eduard; Keller, Bernd; Reimann, Peter; Gröger, Christoph; Spath, Dieter: Advanced Analytics for Evaluating Critical Joining Technologies in Automotive Body Structures and Body Shops.
In: Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
english.
Elsevier, July 2021.
Article in Proceedings (Conference Paper).
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| CR-Schema | H.2.8 (Database Applications)
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| Keywords | Body Shop; Data Analytics; Data Mining; Advanced Analytics; Machine Learning |
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| Abstract | The product development process within the automotive industry is subject to changing demands due to internal and external influences. These influences and adjustments especially affect the car body and its inherent joining technology, as critical stages of variant creation. However, current literature does not offer a suitable analytical method to identify and assess these critical influences. We propose an advanced analytics approach that combines data mining and machine learning techniques within the car body substructure. The evaluation within the MercedesBenz AG shows that our approach facilitates a quantitative assessment of unknown interdependencies between car body modules and corresponding joining technique
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
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| Project(s) | GSaME-NFG
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| Entry date | August 16, 2021 |
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