A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
Publikation: Beiträge in Sammelwerken › Kapitel › begutachtet
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Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. Hrsg. / Thomas Bauernhansl; Alexander Verl; Mathias Liewald; Hans-Christian Möhring. Cham: Springer Nature, 2024. S. 195-204 (Lecture Notes in Production Engineering; Band Part F1764).
Publikation: Beiträge in Sammelwerken › Kapitel › begutachtet
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TY - CHAP
T1 - A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
AU - Bilen, A.
AU - Stamer, F.
AU - Behrendt, S.
AU - Lanza, G.
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Asset Administration Shell
KW - Autonomous Quality Control
KW - Quality Data Model
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85178366112&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-47394-4_20
DO - 10.1007/978-3-031-47394-4_20
M3 - Chapter
AN - SCOPUS:85178366112
SN - 978-3-031-47393-7
T3 - Lecture Notes in Production Engineering
SP - 195
EP - 204
BT - Production at the Leading Edge of Technology
A2 - Bauernhansl, Thomas
A2 - Verl, Alexander
A2 - Liewald, Mathias
A2 - Möhring, Hans-Christian
PB - Springer Nature
CY - Cham
ER -