Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions

Massimo Tisi; Hugo Bruneliere; Juan de Lara; Davide Di Ruscio; Dimitris Kolovos

doi:10.1007/978-3-030-85874-2_37

Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions

Massimo Tisi, Hugo Bruneliere^*, Juan de Lara, Davide Di Ruscio, Dimitris Kolovos

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cyber-Physical Systems (CPS) are complex physical systems interacting with a considerable number of distributed computing elements for monitoring, control and management. They are currently becoming larger as Cyber-Physical Systems of Systems (CPSoS), since many industrial companies are transitioning their complex systems of systems to software-intensive solutions in different domains such as production or manufacturing. Following the development and dissemination of DevOps approaches in the Software Engineering world, we propose the Twin-Driven Engineering (TDE) paradigm as a way to upgrade the role of Digital Twins (DT) to become a central point in all the engineering activities on the CPSoS, from design to decommissioning. Since CPSoS can be highly heterogeneous, we rather target the support for producing and maintaining a single integrated virtual representation of the CPSoS (i.e. a System of Twins) on which it is possible to perform global reasoning, analysis and verification. However, such a new paradigm comes with several open research challenges. We provide an overview of the state-of-the-art in key areas related to TDE. We identify under-investigated problems in related work and outline corresponding research directions.

Original language	English
Title of host publication	Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
Editors	Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
Publisher	Springer
Pages	351-359
Number of pages	9
ISBN (Print)	9783030858735
DOIs	https://doi.org/10.1007/978-3-030-85874-2_37
Publication status	Published - 31 Aug 2021
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France Duration: 5 Sept 2021 → 9 Sept 2021

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	630 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Country/Territory	France
City	Nantes
Period	5/09/21 → 9/09/21

Bibliographical note

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

Keywords

Cyber-physical systems
Research directions
State-of-the-Art
Systems of systems
Twin-driven engineering

Access to Document

10.1007/978-3-030-85874-2_37

Cite this

Tisi, M., Bruneliere, H., de Lara, J., Di Ruscio, D., & Kolovos, D. (2021). Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions. In A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings (pp. 351-359). (IFIP Advances in Information and Communication Technology; Vol. 630 IFIP). Springer. https://doi.org/10.1007/978-3-030-85874-2_37

Tisi, Massimo ; Bruneliere, Hugo ; de Lara, Juan et al. / Towards Twin-Driven Engineering : Overview of the State-of-The-Art and Research Directions. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. editor / Alexandre Dolgui ; Alain Bernard ; David Lemoine ; Gregor von Cieminski ; David Romero. Springer, 2021. pp. 351-359 (IFIP Advances in Information and Communication Technology).

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Tisi, M, Bruneliere, H, de Lara, J, Di Ruscio, D & Kolovos, D 2021, Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions. in A Dolgui, A Bernard, D Lemoine, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. IFIP Advances in Information and Communication Technology, vol. 630 IFIP, Springer, pp. 351-359, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021, Nantes, France, 5/09/21. https://doi.org/10.1007/978-3-030-85874-2_37

Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions. / Tisi, Massimo; Bruneliere, Hugo; de Lara, Juan et al.
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. ed. / Alexandre Dolgui; Alain Bernard; David Lemoine; Gregor von Cieminski; David Romero. Springer, 2021. p. 351-359 (IFIP Advances in Information and Communication Technology; Vol. 630 IFIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Towards Twin-Driven Engineering

T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021

AU - Tisi, Massimo

AU - Bruneliere, Hugo

AU - de Lara, Juan

AU - Di Ruscio, Davide

AU - Kolovos, Dimitris

PY - 2021/8/31

Y1 - 2021/8/31

N2 - Cyber-Physical Systems (CPS) are complex physical systems interacting with a considerable number of distributed computing elements for monitoring, control and management. They are currently becoming larger as Cyber-Physical Systems of Systems (CPSoS), since many industrial companies are transitioning their complex systems of systems to software-intensive solutions in different domains such as production or manufacturing. Following the development and dissemination of DevOps approaches in the Software Engineering world, we propose the Twin-Driven Engineering (TDE) paradigm as a way to upgrade the role of Digital Twins (DT) to become a central point in all the engineering activities on the CPSoS, from design to decommissioning. Since CPSoS can be highly heterogeneous, we rather target the support for producing and maintaining a single integrated virtual representation of the CPSoS (i.e. a System of Twins) on which it is possible to perform global reasoning, analysis and verification. However, such a new paradigm comes with several open research challenges. We provide an overview of the state-of-the-art in key areas related to TDE. We identify under-investigated problems in related work and outline corresponding research directions.

AB - Cyber-Physical Systems (CPS) are complex physical systems interacting with a considerable number of distributed computing elements for monitoring, control and management. They are currently becoming larger as Cyber-Physical Systems of Systems (CPSoS), since many industrial companies are transitioning their complex systems of systems to software-intensive solutions in different domains such as production or manufacturing. Following the development and dissemination of DevOps approaches in the Software Engineering world, we propose the Twin-Driven Engineering (TDE) paradigm as a way to upgrade the role of Digital Twins (DT) to become a central point in all the engineering activities on the CPSoS, from design to decommissioning. Since CPSoS can be highly heterogeneous, we rather target the support for producing and maintaining a single integrated virtual representation of the CPSoS (i.e. a System of Twins) on which it is possible to perform global reasoning, analysis and verification. However, such a new paradigm comes with several open research challenges. We provide an overview of the state-of-the-art in key areas related to TDE. We identify under-investigated problems in related work and outline corresponding research directions.

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KW - State-of-the-Art

KW - Systems of systems

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Tisi M, Bruneliere H, de Lara J, Di Ruscio D, Kolovos D. Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions. In Dolgui A, Bernard A, Lemoine D, von Cieminski G, Romero D, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings. Springer. 2021. p. 351-359. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-85874-2_37

Towards Twin-Driven Engineering: Overview of the State-of-The-Art and Research Directions

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this