TY - JOUR
T1 - Blockchain for Digital Twins
T2 - Recent Advances and Future Research Challenges
AU - Yaqoob, Ibrar
AU - Salah, Khaled
AU - Uddin, Mueen
AU - Jayaraman, Raja
AU - Omar, Mohammed
AU - Imran, Muhammad
N1 - Funding Information:
Acknowledgments This publication is based upon work supported by the Khalifa University of Science and Technology under Award No. CIRA-2019-001 and RCII-2019-002–Research Center for Digital Supply Chain and Operations Management.
Funding Information:
This publication is based upon work supported by the Khalifa University of Science and Technology under Award No. CIRA-2019-001 and RCII-2019- 002-Research Center for Digital Supply Chain and Operations Management.
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - The advent of blockchain technology can refine the concept of DTs by ensuring transparency, decentralized data storage, data immutability, and peer-to-peer communication in industrial sectors. A DT is an integrated multiphysics, multiscale, and probabilistic simulation, representation, and mirroring of a real-world physical component. The DTs help to visualize designs in 3D, perform tests and simulations virtually prior to creation of any physical component, and consequently play a vital role in sustaining and maintaining Industry 4.0. It is anticipated that DTs will become prevalent in the foreseeable future because they can be used for configuration, monitoring, diagnostics, and prognostics. This article envisages how blockchain can reshape and transform DTs to bring about secure manufacturing that guarantees traceability, compliance, authenticity, quality, and safety. We discuss several benefits of employing blockchain in DTs. We taxonomize the DTs literature based on key parameters (e.g., DTs levels, design phases, industrial use cases, key objectives, enabling technologies, and core applications). We provide insights into ongoing progress made towards DTs by presenting recent synergies and case studies. Finally, we discuss open challenges that serve as future research directions.
AB - The advent of blockchain technology can refine the concept of DTs by ensuring transparency, decentralized data storage, data immutability, and peer-to-peer communication in industrial sectors. A DT is an integrated multiphysics, multiscale, and probabilistic simulation, representation, and mirroring of a real-world physical component. The DTs help to visualize designs in 3D, perform tests and simulations virtually prior to creation of any physical component, and consequently play a vital role in sustaining and maintaining Industry 4.0. It is anticipated that DTs will become prevalent in the foreseeable future because they can be used for configuration, monitoring, diagnostics, and prognostics. This article envisages how blockchain can reshape and transform DTs to bring about secure manufacturing that guarantees traceability, compliance, authenticity, quality, and safety. We discuss several benefits of employing blockchain in DTs. We taxonomize the DTs literature based on key parameters (e.g., DTs levels, design phases, industrial use cases, key objectives, enabling technologies, and core applications). We provide insights into ongoing progress made towards DTs by presenting recent synergies and case studies. Finally, we discuss open challenges that serve as future research directions.
UR - http://www.scopus.com/inward/record.url?scp=85083770000&partnerID=8YFLogxK
U2 - 10.1109/MNET.001.1900661
DO - 10.1109/MNET.001.1900661
M3 - Article
AN - SCOPUS:85083770000
SN - 0890-8044
VL - 34
SP - 290
EP - 298
JO - IEEE Network
JF - IEEE Network
IS - 5
M1 - 9076112
ER -