Sustainable Manufacturing: Digital Twinning for a Mechanical Assembly Production Line

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings - 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350319804
DOIs
Publication statusPublished - 1 Mar 2024
Event9th IEEE Smart World Congress, SWC 2023 - Portsmouth, United Kingdom
Duration: 28 Aug 202331 Aug 2023

Publication series

NameProceedings - 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

Conference

Conference9th IEEE Smart World Congress, SWC 2023
Country/TerritoryUnited Kingdom
CityPortsmouth
Period28/08/2331/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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