State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries

Digital twin (DT) technology is increasingly recognised for its potential to transform the manufacturing industry, particularly in assembly automation. By offering real-time insights and optimisation capabilities, DTs enhance efficiency, reduce costs, and improve product quality. This paper critically reviews DT-enabled smart factories in assembly automation, aiming to evaluate the current state, identify common practices, and propose a taxonomy for standardisation. The taxonomy outlines key factors in DT-enabled systems, including data sources, visualisation, applications, functional outputs, digital coupling, and IoT protocols. These classifiers help navigate the complex frameworks of DTs, guiding the design and implementation of assembly automation systems. Through a comprehensive analysis of 60 key publications, the review categorises DT objectives, propositions, and implementation technologies, identifying common themes and addressing gaps in current research. The findings emphasise the importance of integrating DTs with existing systems, ensuring reliability and security in data-driven DTs, and pursuing sustainable solutions beyond energy-intensive industries. This review not only informs future research but also provides a framework to guide industry practices in the development of DT-enabled assembly automation systems.

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Publication Details

Journal
International Journal of Computer Integrated Manufacturing
Published
2024-08-21
DOI
https://doi.org/10.1080/0951192x.2024.2387775
Citations
8
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.79

Funders

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article

State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries

Buğra Alkan, Osman Tokhi, Louie Webb
8 citations
International Journal of Computer Integrated Manufacturing
Digital Transformation in Industry
2.79
article

State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries

Buğra Alkan, Osman Tokhi, Louie Webb
article en
8 citations

Abstract

Digital twin (DT) technology is increasingly recognised for its potential to transform the manufacturing industry, particularly in assembly automation. By offering real-time insights and optimisation capabilities, DTs enhance efficiency, reduce costs, and improve product quality. This paper critically reviews DT-enabled smart factories in assembly automation, aiming to evaluate the current state, identify common practices, and propose a taxonomy for standardisation. The taxonomy outlines key factors in DT-enabled systems, including data sources, visualisation, applications, functional outputs, digital coupling, and IoT protocols. These classifiers help navigate the complex frameworks of DTs, guiding the design and implementation of assembly automation systems. Through a comprehensive analysis of 60 key publications, the review categorises DT objectives, propositions, and implementation technologies, identifying common themes and addressing gaps in current research. The findings emphasise the importance of integrating DTs with existing systems, ensuring reliability and security in data-driven DTs, and pursuing sustainable solutions beyond energy-intensive industries. This review not only informs future research but also provides a framework to guide industry practices in the development of DT-enabled assembly automation systems.

International Journal of Computer Integrated ManufacturingVol. 38(8)
London South Bank University (GB)
London South Bank University
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Digital Transformation in Industry
2.79
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