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Cloud Empowered Real-Time Virtual Manufacturing Systems

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Handbook of Real-Time Computing

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Abstract

In the era of Industry 4.0, evolving trends of information technologies such as cloud computing (CC), digital twin (DT), and industrial internet of things (IIoT) has brought about robust and advanced manufacturing processes with access to finer level of customization. These attempts are bolstered by recent emergence of augmented virtual reality (AVR) that provides prospects for creating innovative solutions in the space of virtual manufacturing system (VMS). While integrating such technologies is difficult, the objective of this work is to develop an integrated framework to integrate IIoT, DT, CC, and AVR into a single manufacturing platform, so as to create seamless communication between physical and digital world. Additionally, the framework is validated with detailed concept of a practical use case that is automated mattress protector manufacturing, where in lies novelty. Overall, the proposed application not only explains procedural methods involved in carrying out successful cloud-empowered real-time VMS but also provides baseline for practical implementation and future modification.

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Acknowledgment

I would like to express my special thanks of gratitude to Sleep Corp PTY Ltd. and Department of Industry, Science, Energy and Resources (Innovative Manufacturing CRC Ltd) for funding this research.

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Authors and Affiliations

  1. Swinburne University of Technology, Melbourne, VIC, Australia

    Sourabh Dani, Jiong Jin & Ambarish Kulkarni

  2. Engineering Institute of Technology, Melbourne, VIC, Australia

    Akhlaqur Rahman

Authors
  1. Sourabh Dani
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  2. Akhlaqur Rahman
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  3. Jiong Jin
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  4. Ambarish Kulkarni
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Corresponding author

Correspondence to Sourabh Dani .

Editor information

Editors and Affiliations

  1. School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, Australia

    Yu-Chu Tian

  2. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

    David Charles Levy

Section Editor information

  1. School of Software and Electrical Engineering, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Victoria, Australia

    Jiong Jin

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Dani, S., Rahman, A., Jin, J., Kulkarni, A. (2022). Cloud Empowered Real-Time Virtual Manufacturing Systems. In: Tian, YC., Levy, D.C. (eds) Handbook of Real-Time Computing. Springer, Singapore. https://doi.org/10.1007/978-981-4585-87-3_46-1

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  • DOI: https://doi.org/10.1007/978-981-4585-87-3_46-1

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  • Print ISBN: 978-981-4585-87-3

  • Online ISBN: 978-981-4585-87-3

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