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 TW

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.

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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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