GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing

Ricardo Peres; André Dionisio Rocha; João Pedro Matos; José Barata

doi:10.1109/INDIN.2018.8472017

GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing

Ricardo Peres, André Dionisio Rocha, João Pedro Matos, José Barata

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.

Original language	English
Title of host publication	Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	815-821
Number of pages	7
ISBN (Electronic)	978-153864829-2
DOIs	https://doi.org/10.1109/INDIN.2018.8472017
Publication status	Published - 24 Sept 2018
Event	16th IEEE International Conference on Industrial Informatics, INDIN 2018 - Porto, Portugal Duration: 18 Jul 2018 → 20 Jul 2018

Conference

Conference	16th IEEE International Conference on Industrial Informatics, INDIN 2018
Country/Territory	Portugal
City	Porto
Period	18/07/18 → 20/07/18

Keywords

Cyber-physical system
Data model
Multistage
Quality control
Zero defect manufacturing

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10.1109/INDIN.2018.8472017Licence: Unspecified

Cite this

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title = "GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing",

abstract = "In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.",

keywords = "Cyber-physical system, Data model, Multistage, Quality control, Zero defect manufacturing",

author = "Ricardo Peres and Rocha, {Andr{\'e} Dionisio} and Matos, {Jo{\~a}o Pedro} and Jos{\'e} Barata",

note = "The GO0DMAN project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 723764.; 16th IEEE International Conference on Industrial Informatics, INDIN 2018 ; Conference date: 18-07-2018 Through 20-07-2018",

year = "2018",

month = sep,

day = "24",

doi = "10.1109/INDIN.2018.8472017",

language = "English",

pages = "815--821",

booktitle = "Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018",

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Peres, R , Rocha, AD , Matos, JP & Barata, J 2018, GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing. in Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018., 8472017, Institute of Electrical and Electronics Engineers (IEEE), pp. 815-821, 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18/07/18. https://doi.org/10.1109/INDIN.2018.8472017

GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing. / Peres, Ricardo ; Rocha, André Dionisio ; Matos, João Pedro et al.
Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 815-821 8472017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Peres, Ricardo

AU - Rocha, André Dionisio

AU - Matos, João Pedro

AU - Barata, José

N1 - The GO0DMAN project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 723764.

PY - 2018/9/24

Y1 - 2018/9/24

N2 - In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.

AB - In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In this paper, it is proposed a common data model focused not only in the production capabilities of the different components as well as the description of all the events, variables and resources that could indicate quality issues. Hence, the proposed data model describes all the information required by the GO0DMAN solution to reduce as much as possible, the defects, the respective causes and the strategies to avoid the propagation along the line. In order to increase the adoption of the proposed data model, it was developed using AutomationML. The proposed data model was designed and tested within the scope of the Horizon 2020 GO0DMAN project.

KW - Cyber-physical system

KW - Data model

KW - Multistage

KW - Quality control

KW - Zero defect manufacturing

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ER -

GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing

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