Digital twin in manufacturing: conceptual framework and case studies
by
Igiri Onaji, Divya Tiwari, Payam Soulatiantork, Boyang Song, and Ashutosh Tiwari
for
Taylor & Francis Group, Informa UK
Recommended by
Paul Shale
Chief Commercial Officer
A robust research paper focuses on the question: "How does the digital twin concept support the realisation of an integrated, flexible and collaborative manufacturing environment as one of the goals projected by the fourth industrial revolution?”
The paper outlines the theoretical ability of digital twins to unlock the benefits of Industry 4.0, by delivering the connectivity and integration that is currently hampered by existing manufacturing systems: centralised control structures, heterogeneity of data, and proprietary manufacturing vendor products.
The paper also contains three case studies with a decent discussion of the process but limited results data:
- Festo cyber-physical smart factory
- A pharmaceutical continuous crystallization system, and
- A digital twin of electric motors.
Why it’s relevant to Nextspace
The paper is relevant to Nextspace Partners as it provides independent verification of the critical nature of issues addressed by the Nextspace platform:
- The core challenge of scalable data interoperability and data management
- Challenges of data accuracy, completeness and ongoing validation
- The need for an explicitly defined ontology
Nextspace delivers on the need for easier and more skilled human-machine interaction and collaboration.
More recommended reads
By
XMPro
for
YouTube
A quick recap of the stages of Industrial Revolution - from 1760
By
Mike Elgan
for
Computerworld
An article that seeks to distance metaverse hype from the value of industrial digital twins
By
Dr Michael Grieves
for
IOT Solutions World Congress 2023
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
