Digital Twins for Industry 4.0 and Beyond

Digital twins (DT) and cyber-physical systems (CPS) are two independently developed yet comparable supporting concepts for smart manufacturing, or “Industry 4.0” in a more popular term. Both of their working principle are based on a close interaction between a physical object and its digital counterpart. Such similarity arouses our curiosity on the association between them. The purpose of this study is to highlight the associations between DT and CPS. With the help of co-word analysis, we find that the two terms seldom co-appear in the literature. Nevertheless, they link to a similar set of enabling-technology terms although with different weighting on these terms, implying that they are established on a similar set of technologies. We suggest that topics within a field being developed independent of each other in the early stage is a common phenomenon. The two currently separate literature streams are likely to merge into one in the foreseeable future. We also discuss the future prospect of DT. Other than manufacturing, DT has great potential in applications such as health care and e-commerce.

[1]  I. Graessler,et al.  Integration of a digital twin as human representation in a scheduling procedure of a cyber-physical production system , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[2]  Herwig Winkler,et al.  Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process , 2018 .

[3]  Manuel Oliva,et al.  Product Avatar as Digital Counterpart of a Physical Individual Product: Literature Review and Implications in an Aircraft , 2015, ISPE CE.

[4]  Jiafu Wan,et al.  A survey of Cyber-Physical Systems , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[5]  Herman van der Auweraer,et al.  Digital Twins , 2020, SEMA SIMAI Springer Series.

[6]  Andrea Gaggioli Digital Twins: An Emerging Paradigm in Cyberpsychology Research? , 2018, Cyberpsychology Behav. Soc. Netw..

[7]  Iris Graessler,et al.  Intelligent control of an assembly station by integration of a digital twin for employees into the decentralized control system , 2018 .

[8]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[9]  Luca Fumagalli,et al.  Flexible Automation and Intelligent Manufacturing , FAIM 2017 , 27-30 June 2017 , Modena , Italy A review of the roles of Digital Twin in CPS-based production systems , 2017 .

[10]  Edward A. Lee The Past, Present and Future of Cyber-Physical Systems: A Focus on Models , 2015, Sensors.

[11]  S. Michael Spottswood,et al.  Reengineering Aircraft Structural Life Prediction Using a Digital Twin , 2011 .

[12]  Fernando Deschamps,et al.  Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal , 2017, Int. J. Prod. Res..

[13]  Rolf Steinhilper,et al.  The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0☆ , 2017 .

[14]  M. Callon,et al.  From translations to problematic networks: An introduction to co-word analysis , 1983 .

[15]  Abdulmotaleb El Saddik,et al.  C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems , 2017, IEEE Access.

[16]  Jeroen van den Hoven,et al.  Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm , 2018, Front. Genet..

[17]  Fei Tao,et al.  Modeling of Cyber-Physical Systems and Digital Twin Based on Edge Computing, Fog Computing and Cloud Computing Towards Smart Manufacturing , 2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing.