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.
|Title of host publication||Proceedings of 2022 International Conference on Data and Software Engineering (ICoDSE 2022)|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2022|
|Event||2022 International Conference on Data and Software Engineering, ICoDSE 2022 - Bali, Indonesia|
Duration: 2 Nov 2022 → 3 Nov 2022
|Conference||2022 International Conference on Data and Software Engineering, ICoDSE 2022|
|Period||2/11/22 → 3/11/22|
Bibliographical noteFunding 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.
© 2022 IEEE.
- data management
- data repository
- educational factories
- industry 4.0