Abstract
There has been a rise in interest in the concept of the digital twin (DT) in both academia and industry in smart cities. The DT's implementation architecture generally consists of physical, virtual, and information-processing layers for a system. There are several theoretical frameworks presented and documented for DT implementation in the context of the manufacturing industry, but there is a lack of actual implementation studies published in the literature. The primary objective of this article is to show that a production unit that specialises in making manually assembled mechanical products can successfully adopt DT in practise. Tecnomatix Plant Simulation (P-sim) software was used to develop a simulation DT model. The DT then used for bottleneck identification to improve the efficiency of the production line. The DT proved to be a promising and evolving real-time optimisation tool for sustainable manufacturing.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350319804 |
DOIs | |
Publication status | Published - 1 Mar 2024 |
Event | 9th IEEE Smart World Congress, SWC 2023 - Portsmouth, United Kingdom Duration: 28 Aug 2023 → 31 Aug 2023 |
Publication series
Name | Proceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023 |
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Conference
Conference | 9th IEEE Smart World Congress, SWC 2023 |
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Country/Territory | United Kingdom |
City | Portsmouth |
Period | 28/08/23 → 31/08/23 |
Bibliographical note
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