Digitalization platform for data-driven quality management in multi-stage manufacturing systems

Digital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply data...

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Bibliographic Details
Published in:Journal of intelligent manufacturing Vol. 35; no. 6; pp. 2699 - 2718
Main Authors: Filz, Marc-André, Bosse, Jan Philipp, Herrmann, Christoph
Format: Journal Article
Language:English
Published: New York, NY Springer US 01.08.2024
Springer Nature B.V
Subjects:
Advanced manufacturing technologies
Applications programs
Business and Management
Control
Data analytics
Digital platform
Digital technology
Digitization
Machine learning
Machines
Manufacturing
Manufacturing system
Mechatronics
Processes
Production
Quality management
Robotics
Data analytics
Manufacturing system
Machine learning
Quality management
Digital platform
ISSN:1572-8145, 0956-5515, 1572-8145
Online Access:Get full text
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Summary:Digital transformation is driving the current technological trends in manufacturing. An integral constituent is a communication between machines, between machines and humans, or between machines and products. This extensive communication involves large volumes of data. Many manufacturers apply data analytics (e.g., for quality management or improvement purposes) to translate the data into a business value. However, isolated, rigid, and area-specific IT solutions often carry this out. Today's complex manufacturing requires quality management approaches that constitute a holistic view of and understanding of process–product interactions along the process chain instead of focusing solely on single processes. A novel platform approach to support quality management in manufacturing systems is proposed in this paper to overcome this deficit. It integrates state-of-the-art concepts of IT with modeling approaches for planning and operation of quality management. A conceptual framework and the technical architecture for implementing a digitalization platform are presented in this regard. Moreover, the approach is validated and implemented within a web application based on a use case of data-driven quality management in electronics production.
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ISSN:1572-8145
0956-5515
1572-8145
DOI:10.1007/s10845-023-02162-9