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Digital Twin Architecture and Development Trends on Manufacturing Topologies

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Implementing Industry 4.0

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 202))

Abstract

In today’s competitive landscape, a growing number of enterprises are embarking on cyber-physical digitalization journeys to fulfil customer expectations and vitalize manufacturing processes in a cost-effective manner. Developing on top of Industry 4.0 paradigms, advanced robotics, predictive analytics, and process flow automation benefit from the use of digital replicas known as digital twins (DT). DT is a prevailing technology in manufacturing industries and leverages real-time monitoring, simulation, and decision-aid systems to generate feasible solutions to assist production operations, which can range from predictive maintenance to strategic planning. As a trending technology, many digital twin-driven approaches are formulated to achieve mass customization and implement smart product service systems. Hence, this chapter aims to provide insights into the various digital twin architectures and development trends in manufacturing environments. It also proposes the integration of other emerging technologies to allow stakeholders who are capitalizing on this technology to gain a significant competitive edge in the present competitive environment. With consideration to both business innovation and engineering product lifecycle management, this work serves as a guide to highlight the status of digital twin development trends and benefits with innovative use cases aiming at setting a consistent standard for digital twin creation throughout academia and industry.

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Acknowledgements

This research is supported by the Agency for Science, Technology and Research (A*STAR) under its Advanced Manufacturing & Engineering (AME) Industry Alignment Funding - Pre-positioning funding scheme (Project No: A1723a0035).

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Authors and Affiliations

  1. Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Kendrik Yan Hong Lim, Nam Tuan Le, Nimisha Agarwal & Bao Huy Huynh

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  1. Kendrik Yan Hong Lim
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  2. Nam Tuan Le
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  3. Nimisha Agarwal
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  4. Bao Huy Huynh
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Corresponding author

Correspondence to Kendrik Yan Hong Lim .

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Editors and Affiliations

  1. Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Carlos Toro

  2. Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Wei Wang

  3. Smart Manufacturing Division, Advanced Remanufacturing and Technology Centre (ARTC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Humza Akhtar

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Lim, K.Y.H., Le, N.T., Agarwal, N., Huynh, B.H. (2021). Digital Twin Architecture and Development Trends on Manufacturing Topologies. In: Toro, C., Wang, W., Akhtar, H. (eds) Implementing Industry 4.0. Intelligent Systems Reference Library, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-030-67270-6_10

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