Towards A Data Repository for Educational Factories

Fajar J. Ekaputra; Martin Weise; Katharina Flicker; Mohd Rizal Bin Salleh; Md Nizam Abd Rahman; Azrul Azwan Abd Rahman; Tomasz Miksa; Andreas Rauber

doi:10.1109/ICoDSE56892.2022.9971958

Towards A Data Repository for Educational Factories

Fajar J. Ekaputra, Martin Weise, Katharina Flicker, Mohd Rizal Bin Salleh, Md Nizam Abd Rahman, Azrul Azwan Abd Rahman, Tomasz Miksa, Andreas Rauber

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

The growth of the Industry 4.0 initiatives insinuate the needs for the future manufacturing workforce to embrace digital technology skills complimentary to their core skills. One of the main prerequisites to facilitate the learning of such skills is the availability of data processing flow and repository for capturing and managing manufacturing data. To address this challenge and as result of this research, we have identified a set of core requirements, proposed a data repository architecture, and deployed a prototype of the repository based on this architecture in one of the educational factory at UTeM. We conclude the paper with the discussion on the technical and societal impact to stakeholders as well as the outline of our future work.

Originalsprache	Englisch
Titel des Sammelwerks	Proceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022)
Verlag	Institute of Electrical and Electronics Engineers Inc.
Seiten	149-154
Seitenumfang	6
ISBN (elektronisch)	9798350397055
ISBN (Print)	9798350397062
DOIs	https://doi.org/10.1109/ICoDSE56892.2022.9971958
Publikationsstatus	Veröffentlicht - 2022
Extern publiziert	Ja
Veranstaltung	2022 International Conference on Data and Software Engineering, ICoDSE 2022 - Bali, Indonesien Dauer: 2 Nov. 2022 → 3 Nov. 2022

Konferenz

Konferenz	2022 International Conference on Data and Software Engineering, ICoDSE 2022
Land/Gebiet	Indonesien
Ort	Bali
Zeitraum	2/11/22 → 3/11/22

Bibliographische Notiz

Publisher Copyright:
© 2022 IEEE.

Zugriff auf Dokument

10.1109/ICoDSE56892.2022.9971958

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Zitat

Ekaputra, F. J., Weise, M., Flicker, K., Bin Salleh, M. R., Abd Rahman, M. N., Abd Rahman, A. A., Miksa, T., & Rauber, A. (2022). Towards A Data Repository for Educational Factories. in Proceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022) (S. 149-154). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoDSE56892.2022.9971958

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abstract = "The growth of the Industry 4.0 initiatives insinuate the needs for the future manufacturing workforce to embrace digital technology skills complimentary to their core skills. One of the main prerequisites to facilitate the learning of such skills is the availability of data processing flow and repository for capturing and managing manufacturing data. To address this challenge and as result of this research, we have identified a set of core requirements, proposed a data repository architecture, and deployed a prototype of the repository based on this architecture in one of the educational factory at UTeM. We conclude the paper with the discussion on the technical and societal impact to stakeholders as well as the outline of our future work.",

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note = "Funding Information: *) Research reported in this publication was jointly supported by the ASEAN-European Academic University Network (ASEA-UNINET), the Austrian Federal Ministry of Education, Science and Research (BMBWF) and the OeAD - Austria{\textquoteright}s Agency for Education and Internationalisation. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Data and Software Engineering, ICoDSE 2022 ; Conference date: 02-11-2022 Through 03-11-2022",

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Ekaputra, FJ, Weise, M, Flicker, K, Bin Salleh, MR, Abd Rahman, MN, Abd Rahman, AA, Miksa, T & Rauber, A 2022, Towards A Data Repository for Educational Factories. in Proceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022). Institute of Electrical and Electronics Engineers Inc., S. 149-154, 2022 International Conference on Data and Software Engineering, ICoDSE 2022, Bali, Indonesien, 2/11/22. https://doi.org/10.1109/ICoDSE56892.2022.9971958

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AU - Abd Rahman, Azrul Azwan

AU - Miksa, Tomasz

AU - Rauber, Andreas

N1 - Funding Information: *) Research reported in this publication was jointly supported by the ASEAN-European Academic University Network (ASEA-UNINET), the Austrian Federal Ministry of Education, Science and Research (BMBWF) and the OeAD - Austria’s Agency for Education and Internationalisation. Publisher Copyright: © 2022 IEEE.

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