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A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops

Publikation: Beiträge in Sammelwerken › Kapitel › begutachtet

Standard

A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. / Bilen, A.; Stamer, F.; Behrendt, S. et al.
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

Harvard

Bilen, A, Stamer, F, Behrendt, S & Lanza, G 2024, A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. in T Bauernhansl, A Verl, M Liewald & H-C Möhring (Hrsg.), Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. Lecture Notes in Production Engineering, Bd. Part F1764, Springer Nature, Cham, S. 195-204. https://doi.org/10.1007/978-3-031-47394-4_20

APA

Bilen, A., Stamer, F., Behrendt, S., & Lanza, G. (2024). A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. In T. Bauernhansl, A. Verl, M. Liewald, & H.-C. Möhring (Hrsg.), Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023 (S. 195-204). (Lecture Notes in Production Engineering; Band Part F1764). Springer Nature. https://doi.org/10.1007/978-3-031-47394-4_20

Vancouver

Bilen A, Stamer F, Behrendt S, Lanza G. A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. in Bauernhansl T, Verl A, Liewald M, Möhring HC, Hrsg., Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. Cham: Springer Nature. 2024. S. 195-204. (Lecture Notes in Production Engineering). doi: 10.1007/978-3-031-47394-4_20

Bibtex

@inbook{034ae66427a1422195e89f4342f03095,
title = "A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops",
abstract = "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.",
keywords = "Asset Administration Shell, Autonomous Quality Control, Quality Data Model, Engineering",
author = "A. Bilen and F. Stamer and S. Behrendt and G. Lanza",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
year = "2024",
doi = "10.1007/978-3-031-47394-4_20",
language = "English",
isbn = "978-3-031-47393-7",
series = "Lecture Notes in Production Engineering",
publisher = "Springer Nature",
pages = "195--204",
editor = "Thomas Bauernhansl and Alexander Verl and Mathias Liewald and Hans-Christian M{\"o}hring",
booktitle = "Production at the Leading Edge of Technology",
address = "Germany",

}

RIS

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 -

DOI

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