A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
Research output: Contributions to collected editions/works › Chapter › peer-review
Authors
In modern markets, increasing quality requirements necessitate high performance quality assurance processes to guarantee the fulfillment of these requirements sustainably. Thus, the quality assurance must be able to take targeted countermeasures which efficiently correct process deviations. In this context, quality control loops play a major role for quality monitoring and control. Currently, however, a great deal of manual effort goes into the design and implementation of mostly knowledge-based control logics. A heterogeneous data landscape and the resulting data preparation processes cause high effort. Autonomous quality control loops represent a new development and are intended to provide an efficient and data-based approach to setting up quality control loops. As an enabling step for autonomous quality control loops, this paper discusses the development of an Asset Administration Shell based, standardized quality data model.
Original language | English |
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Title of host publication | Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023 |
Editors | Thomas Bauernhansl, Alexander Verl, Mathias Liewald, Hans-Christian Möhring |
Number of pages | 10 |
Place of Publication | Cham |
Publisher | Springer Nature AG |
Publication date | 2024 |
Pages | 195-204 |
ISBN (print) | 978-3-031-47393-7 |
ISBN (electronic) | 978-3-031-47394-4 |
DOIs | |
Publication status | Published - 2024 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
- Asset Administration Shell, Autonomous Quality Control, Quality Data Model
- Engineering