Smart factory reference model for training on industry 4.0 / Ubaidullah Mohammad...[et al.]

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.]. Journal of Mechanical Engineering (JMechE), 16 (2). pp. 129-144. ISSN 1823-5514 ; 2550-164X

Abstract

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.

Metadata

Item Type: Article
Creators:
CreatorsEmail / ID. Num
Mohammad, UbaidullahUNSPECIFIED
Cheng, Yee LowUNSPECIFIED
Abd Rahman, RamhuzainiUNSPECIFIED
Johar, Muhammad AkmalUNSPECIFIED
Ching, Theng KohUNSPECIFIED
Roman, DumitrescuUNSPECIFIED
Martin, RabeUNSPECIFIED
Asmar, LabanUNSPECIFIED
Kamaruddin, SusanaUNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
Journal: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 1823-5514 ; 2550-164X
Volume: 16
Number: 2
Page Range: pp. 129-144
Official URL: https://jmeche.uitm.edu.my/
Item ID: 36433
Uncontrolled Keywords: Industry 4.0, Smart Factory, SCADA, Industry IoT, Systems Engineering
URI: http://ir.uitm.edu.my/id/eprint/36433

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