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

Ali Bilen; Florian Stamer; Sebastian Behrendt; Gisela Lanza

doi:10.1007/978-3-031-47394-4_20

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

Ali Bilen^*
, Florian Stamer
, Sebastian Behrendt
, Gisela Lanza

^*Corresponding author for this work

Karlsruhe Institute of Technology

Research output: Contributions to collected editions/works › Chapter › peer-review

2 Citations (Scopus)

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.

Original language	English
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
Publication date	2024
Pages	195-204
ISBN (Print)	978-3-031-47393-7
ISBN (Electronic)	978-3-031-47394-4
DOIs	https://doi.org/10.1007/978-3-031-47394-4_20
Publication status	Published - 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Research areas and keywords

Asset Administration Shell
Autonomous Quality Control
Quality Data Model
Engineering

Access to Document

10.1007/978-3-031-47394-4_20

Cite this

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 (Eds.), Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023 (pp. 195-204). (Lecture Notes in Production Engineering; Vol. Part F1764). Springer Nature. https://doi.org/10.1007/978-3-031-47394-4_20

Bilen, Ali ; Stamer, Florian ; Behrendt, Sebastian et al. / A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. Production at the Leading Edge of Technology : Proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP), Freudenstadt, November 2023. editor / Thomas Bauernhansl ; Alexander Verl ; Mathias Liewald ; Hans-Christian Möhring. Cham : Springer Nature, 2024. pp. 195-204 (Lecture Notes in Production Engineering).

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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.",

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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 (eds), 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, vol. Part F1764, Springer Nature, Cham, pp. 195-204. https://doi.org/10.1007/978-3-031-47394-4_20

A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops. / Bilen, Ali; Stamer, Florian; Behrendt, Sebastian 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. ed. / Thomas Bauernhansl; Alexander Verl; Mathias Liewald; Hans-Christian Möhring. Cham: Springer Nature, 2024. p. 195-204 (Lecture Notes in Production Engineering; Vol. Part F1764).

Research output: Contributions to collected editions/works › Chapter › peer-review

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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.

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ER -

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, editors, 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. p. 195-204. (Lecture Notes in Production Engineering). doi: 10.1007/978-3-031-47394-4_20

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

Abstract

Bibliographical note

Research areas and keywords

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Cite this