Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.]
Technological disruption and rising labour costs are impacting the future of manufacturing in Malaysia and its competitive position. Nevertheless, the understanding on smart manufacturing in the context of Industry 4.0 is still lacking in the academia and industry. Thus, this work describes the deve...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/36433/ |
| _version_ | 1848809050433650688 |
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| author | Mohammad, Ubaidullah Cheng, Yee Low Abd Rahman, Ramhuzaini Johar, Muhammad Akmal Ching, Theng Koh Roman, Dumitrescu Martin, Rabe Asmar, Laban Kamaruddin, Susana |
| author_facet | Mohammad, Ubaidullah Cheng, Yee Low Abd Rahman, Ramhuzaini Johar, Muhammad Akmal Ching, Theng Koh Roman, Dumitrescu Martin, Rabe Asmar, Laban Kamaruddin, Susana |
| author_sort | Mohammad, Ubaidullah |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | Technological disruption and rising labour costs are impacting the future of manufacturing in Malaysia and its competitive position. Nevertheless, the understanding on smart manufacturing in the context of Industry 4.0 is still lacking in the academia and industry. Thus, this work describes the development of a smart factory reference model as a guide to upgrading an existing production system towards the vision of Industry 4.0 using readily available components. The reference model consists of (i) a principle solution describing the concept of a smart factory and (ii) a working prototype demonstrating the functionality of a smart factory. The smart factory prototype is a modular production system connected to a server accessible locally or through the internet and able to produce up to eight variants of a product. The SCADA software was used to interface various systems together and create the user interface. The prototype was evaluated using VDMA Industry 4.0 Toolbox. This work provides a way to integrate theory and practical Industry 4.0 applications into tertiary education curricula. It showcases the potential applications, benefits and proof of concept of new technologies for industry adoption. |
| first_indexed | 2025-11-14T23:08:27Z |
| format | Article |
| id | uitm-36433 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:08:27Z |
| publishDate | 2019 |
| publisher | Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-364332020-11-09T07:54:51Z https://ir.uitm.edu.my/id/eprint/36433/ Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] jmeche Mohammad, Ubaidullah Cheng, Yee Low Abd Rahman, Ramhuzaini Johar, Muhammad Akmal Ching, Theng Koh Roman, Dumitrescu Martin, Rabe Asmar, Laban Kamaruddin, Susana TJ Mechanical engineering and machinery Technological disruption and rising labour costs are impacting the future of manufacturing in Malaysia and its competitive position. Nevertheless, the understanding on smart manufacturing in the context of Industry 4.0 is still lacking in the academia and industry. Thus, this work describes the development of a smart factory reference model as a guide to upgrading an existing production system towards the vision of Industry 4.0 using readily available components. The reference model consists of (i) a principle solution describing the concept of a smart factory and (ii) a working prototype demonstrating the functionality of a smart factory. The smart factory prototype is a modular production system connected to a server accessible locally or through the internet and able to produce up to eight variants of a product. The SCADA software was used to interface various systems together and create the user interface. The prototype was evaluated using VDMA Industry 4.0 Toolbox. This work provides a way to integrate theory and practical Industry 4.0 applications into tertiary education curricula. It showcases the potential applications, benefits and proof of concept of new technologies for industry adoption. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2019 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36433/1/36433.pdf Mohammad, Ubaidullah and Cheng, Yee Low and Abd Rahman, Ramhuzaini and Johar, Muhammad Akmal and Ching, Theng Koh and Roman, Dumitrescu and Martin, Rabe and Asmar, Laban and Kamaruddin, Susana (2019) Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.]. (2019) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 16 (2). pp. 129-144. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/ |
| spellingShingle | TJ Mechanical engineering and machinery Mohammad, Ubaidullah Cheng, Yee Low Abd Rahman, Ramhuzaini Johar, Muhammad Akmal Ching, Theng Koh Roman, Dumitrescu Martin, Rabe Asmar, Laban Kamaruddin, Susana Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title | Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title_full | Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title_fullStr | Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title_full_unstemmed | Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title_short | Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.] |
| title_sort | smart factory reference model for training on industry 4.0 / ubaidullah mohammad...[et al.] |
| topic | TJ Mechanical engineering and machinery |
| url | https://ir.uitm.edu.my/id/eprint/36433/ https://ir.uitm.edu.my/id/eprint/36433/ |