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Digital Twins Supporting Efficient Digital Industrial Transformation.

Dinithi Bamunuarachchi1, Dimitrios Georgakopoulos1, Abhik Banerjee1

  • 1Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn 3122, Australia.

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Summary

Cyber Twins (CTs), an extension of Digital Twins, enable cost-efficient Industry 4.0 application development. This approach reduces development costs by approximately 60% compared to traditional IoT platforms, accelerating digital industrial transformation.

Keywords:
Industry 4.0 cost modelcyber twinsdigital twins

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Area of Science:

  • Industrial Engineering
  • Computer Science
  • Digital Transformation

Background:

  • Industry 4.0 drives digital industrial transformation through smart, data-driven solutions.
  • Current Industry 4.0 application development is hindered by high costs and limitations of existing IoT platforms.
  • Challenges include representing complex machines, limited testing environments, and lack of cost-benefit analysis models.

Purpose of the Study:

  • To propose Cyber Twins (CTs) as a solution for cost-efficient Industry 4.0 application development.
  • To demonstrate the effectiveness of CTs in overcoming current development limitations.
  • To introduce cost models for CT-based application development and analysis.

Main Methods:

  • Utilizing Cyber Twins (CTs), an extension of Digital Twins, with semantic machine descriptions.
  • Incorporating machine simulators within CTs for risk-free and cost-effective application testing.
  • Developing and applying cost models for CT-based Industry 4.0 applications.

Main Results:

  • CTs facilitate cost-efficient development of Industry 4.0 applications.
  • Machine simulators in CTs enable testing without production line risks or costs.
  • A case study in the dairy industry showed CT-based development cost approximately 60% less than IoT platform-based development.

Conclusions:

  • Cyber Twins offer a viable and cost-effective approach to Industry 4.0 application development.
  • The use of CTs accelerates digital industrial transformation by reducing development barriers.
  • CTs provide a scalable solution for creating and testing smart industrial applications.