A digital twin framework for Industry 4.0 enabling next-gen manufacturing
Conference paper
Raza, M., Kumar, P., Viet Hung, D., Davis, W., Nguyen, H. and Trestian, R. 2020. A digital twin framework for Industry 4.0 enabling next-gen manufacturing. International Conference on Industrial Technology and Management (ICITM 2020). Oxford, United Kingdom 11 - 13 Feb 2020 IEEE. pp. 73-77 https://doi.org/10.1109/ICITM48982.2020.9080395
Type | Conference paper |
---|---|
Title | A digital twin framework for Industry 4.0 enabling next-gen manufacturing |
Authors | Raza, M., Kumar, P., Viet Hung, D., Davis, W., Nguyen, H. and Trestian, R. |
Abstract | Digital twins offer a framework to support the ever-rising demands in the fast-paced industrial evolution. This technology not only adds to the reliability of industrial processes but also offers an insight in to long-term behaviors and pattern during the aging of the industrial equipment. In this paper, a digital twin framework is presented to replicate the processes of a real production line for product assembly. The proposed work implements a digital/graphical replica of Festo Cyber Physical Factory (CPF) for Industry 4.0 (I4.0). The implemented system allows to schedule orders and specify product configuration which embodies the actions of CPF in digital world. In addition, the paper also presents a viable framework to interlink the physical system with the digital instance to offer extended services and a pathway towards realization of fully functional digital twins. |
Keywords | digital twin; Industry 4.0; cyber physical factory |
Conference | International Conference on Industrial Technology and Management (ICITM 2020) |
Page range | 73-77 |
Proceedings Title | 2020 9th International Conference on Industrial Technology and Management (ICITM) |
ISBN | |
Electronic | 9781728143064 |
Electronic | 9781728143057 |
Paperback | 9781728143071 |
Publisher | IEEE |
Publication dates | |
13 Feb 2020 | |
Online | 30 Apr 2020 |
Publication process dates | |
Deposited | 09 Feb 2020 |
Accepted | 25 Nov 2019 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICITM48982.2020.9080395 |
Web of Science identifier | WOS:000588568400015 |
Language | English |
https://repository.mdx.ac.uk/item/88w54
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