Data-Driven Decision-Making in Shop Floor Quality Management – A Systematic Literature Review
Schamberger M, Breu M, Bodendorf F (2024)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: Springer
Series: Lecture Notes in Mechanical Engineering
City/Town: Cham
Pages Range: 424-431
Conference Proceedings Title: Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. Proceedings of FAIM 2024, June 23–26, 2024, Taichung, Taiwan, Volume 2
Event location: Taichung
ISBN: 9783031744846
DOI: 10.1007/978-3-031-74485-3_47
Abstract
This paper presents a systematic literature review of applied methods for data-driven decision-making (DDD) in shop floor quality management (QM). The goal is to give an overview of publications in DDD QM and to highlight areas where future research can contribute to the advancement of the field. Relevant publications of the past decade are categorized across the following key dimensions: contribution area in QM DDD (e.g., ‘know-what’), characteristic elements of applied methods within DDD (e.g., unsupervised machine learning), and type of manufacturing process (e.g., additive manufacturing). The review reveals a prevalent examination of initial DDD stages like detection (‘know-what’) and a predominance of supervised machine learning approaches. This indicates potential research opportunities in integrating advanced DDD stages (e.g., ‘know-why’) and exploring underutilized methodologies like semi-supervised learning. The findings also suggest a need for broader application across manufacturing processes and a deeper examination of data quality and explainable AI within DDD in QM. This review not only maps the current landscape but also identifies potential areas for future exploration, providing valuable insights for advancing DDD in QM.
Authors with CRIS profile
Markus Schamberger
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Freimut Bodendorf
Fachbereich Wirtschaftswissenschaften
How to cite
APA:
Schamberger, M., Breu, M., & Bodendorf, F. (2024). Data-Driven Decision-Making in Shop Floor Quality Management – A Systematic Literature Review. In Yi-Chi Wang, Siu Hang Chan, Zih-Huei Wang (Eds.), Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order. Proceedings of FAIM 2024, June 23–26, 2024, Taichung, Taiwan, Volume 2 (pp. 424-431). Taichung, TW: Cham: Springer.
MLA:
Schamberger, Markus, Michael Breu, and Freimut Bodendorf. "Data-Driven Decision-Making in Shop Floor Quality Management – A Systematic Literature Review." Proceedings of the 33rd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2024, Taichung Ed. Yi-Chi Wang, Siu Hang Chan, Zih-Huei Wang, Cham: Springer, 2024. 424-431.
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