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/KonferenzbandBeitrag in Konferenzband


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.

Titel des SammelwerksProceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022)
VerlagInstitute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350397055
ISBN (Print)9798350397062
PublikationsstatusVeröffentlicht - 2022
Extern publiziertJa
Veranstaltung2022 International Conference on Data and Software Engineering, ICoDSE 2022 - Bali, Indonesien
Dauer: 2 Nov. 20223 Nov. 2022


Konferenz2022 International Conference on Data and Software Engineering, ICoDSE 2022

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