research-article

Digital twin as risk-free experimentation aid for techno-socio-economic systems

Authors:

Vinay Kulkarni,

Balbir BarnAuthors Info & Claims

MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems

Pages 66 - 75

https://doi.org/10.1145/3550355.3552409

Published: 24 October 2022 Publication History

Abstract

Environmental uncertainties and hyperconnectivity force technosocio-economic systems to introspect and adapt to succeed and survive. Current practices in decision-making are predominantly intuition-driven with attendant challenges for precision and rigor. We propose to use the concept of digital twins by combining results from Modelling & Simulation, Artificial Intelligence, and Control Theory to create a risk free 'in silico' experimentation aid to help: (i) understand why a system is the way it is, (ii) be prepared for possible outlier conditions, and (iii) identify plausible solutions for mitigating the outlier conditions in an evidence-backed manner. We use reinforcement learning to systematically explore the digital twin solution space. Our proposal is significant because it advances the effective use of digital twins to new problem domains that have new potential for impact. Our approach contributes an original meta model for simulatable digital twin of industry scale techno-socioeconomic systems, agent-based implementation of the digital twin, and an architecture that serves as a risk-free experimentation aid to support simulation-based evidence-backed decision-making. We also discuss the rigor of our validation of the proposed approach and associated technology infrastructure through a representative sample of industry-scale real-world use cases.

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Cited By

Liu XDavid ICombemale BWimmer MChechik MEgyed A(2024)AI Simulation by Digital Twins: Systematic Survey of the State of the Art and a Reference FrameworkProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3688253(401-412)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3688253
Bonetti FBucchiarone AMichael JCicchetti AMarconi ARumpe BCombemale BWimmer MChechik MEgyed A(2024)Digital Twins of Socio-Technical Ecosystems to Drive Societal ChangeProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3686248(275-286)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3686248
Hussain HDe Vries M(2024)System dynamics applied in enterprise engineering – a systematic literature reviewJournal of Modelling in Management10.1108/JM2-05-2023-008220:1(1-29)Online publication date: 14-May-2024
https://doi.org/10.1108/JM2-05-2023-0082
Show More Cited By

Index Terms

Digital twin as risk-free experimentation aid for techno-socio-economic systems
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory

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cover image ACM Conferences

MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems

October 2022

412 pages

ISBN:9781450394666

DOI:10.1145/3550355

General Chairs:
Eugene Syriani
Université de Montréal, Canada
,
Houari Sahraoui
Université de Montréal, Canada

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Published: 24 October 2022

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MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems

October 23 - 28, 2022

Quebec, Montreal, Canada

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MODELS '22 Paper Acceptance Rate 35 of 125 submissions, 28%;

Overall Acceptance Rate 144 of 506 submissions, 28%

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Cited By

Liu XDavid ICombemale BWimmer MChechik MEgyed A(2024)AI Simulation by Digital Twins: Systematic Survey of the State of the Art and a Reference FrameworkProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3688253(401-412)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3688253
Bonetti FBucchiarone AMichael JCicchetti AMarconi ARumpe BCombemale BWimmer MChechik MEgyed A(2024)Digital Twins of Socio-Technical Ecosystems to Drive Societal ChangeProceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems10.1145/3652620.3686248(275-286)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3652620.3686248
Hussain HDe Vries M(2024)System dynamics applied in enterprise engineering – a systematic literature reviewJournal of Modelling in Management10.1108/JM2-05-2023-008220:1(1-29)Online publication date: 14-May-2024
https://doi.org/10.1108/JM2-05-2023-0082
Yang HJiang Z(2024)Decision support for personalized therapy in implantable medical devicesExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122883243:COnline publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.122883
Sartaj HAli SMarie Gjøby J(2024)Uncertainty-aware environment simulation of medical devices digital twinsSoftware and Systems Modeling10.1007/s10270-024-01223-8Online publication date: 1-Nov-2024
https://doi.org/10.1007/s10270-024-01223-8
Heithoff MJansen NMichael JRademacher FRumpe B(2024)Model-Based Engineering of Multi-Purpose Digital Twins in ManufacturingDigital Twin10.1007/978-3-031-67778-6_5(89-126)Online publication date: 10-Sep-2024
https://doi.org/10.1007/978-3-031-67778-6_5
Sartaj HAli SYue TMoberg K(2024)Model‐based digital twins of medicine dispensers for healthcare IoT applicationsSoftware: Practice and Experience10.1002/spe.331154:6(1172-1192)Online publication date: 15-Jan-2024
https://doi.org/10.1002/spe.3311
Barat SLobo SKorabu RThogaru HMahamuni R(2023)Symbiotic Use of Digital Twin, Simulation and Design Thinking Approach for Resilient Enterprise2023 Winter Simulation Conference (WSC)10.1109/WSC60868.2023.10408559(686-697)Online publication date: 10-Dec-2023
https://doi.org/10.1109/WSC60868.2023.10408559
David IArchambault PWolak QVu CLalonde TRiaz KSyriani ESahraoui H(2023)Digital Twins for Cyber-Biophysical Systems: Challenges and Lessons Learned2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS)10.1109/MODELS58315.2023.00014(1-12)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS58315.2023.00014
Lehner D(2023)A Model-Driven Platform for Engineering Holistic Digital Twins2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00045(179-185)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00045
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