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FROM REQUIREMENTS TO PROTOTYPING: APPLICATION OF HUMAN-SYSTEM INTEGRATION METHODOLOGY TO DIGITAL TWIN DESIGN

Published online by Cambridge University Press:  27 July 2021

Stélian Camara Dit Pinto ,
Dimitri Masson ,
Eric Villeneuve ,
Guy Boy  and
Laetitia Urfels
Stélian Camara Dit Pinto*
Affiliation:
Université Paris-Saclay, CentraleSupélec, Laboratoire Génie Industriel, 91190 Gif-sur-Yvette, France UNIV. BORDEAUX, ESTIA INSTITUTE OF TECHNOLOGY, F-64210 Bidart, France
Dimitri Masson
Affiliation:
UNIV. BORDEAUX, ESTIA INSTITUTE OF TECHNOLOGY, F-64210 Bidart, France
Eric Villeneuve
Affiliation:
UNIV. BORDEAUX, ESTIA INSTITUTE OF TECHNOLOGY, F-64210 Bidart, France
Guy Boy
Affiliation:
Université Paris-Saclay, CentraleSupélec, Laboratoire Génie Industriel, 91190 Gif-sur-Yvette, France UNIV. BORDEAUX, ESTIA INSTITUTE OF TECHNOLOGY, F-64210 Bidart, France
Laetitia Urfels
Affiliation:
TOTAL SE, R&D, Program Gas & Sustainable development, 64000 Pau, France
*
Camara Dit Pinto, Stélian, ESTIA, Estia-recherche, France, s.camaraditpinto@estia.fr

Abstract

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Industrial digital transformation is bringing a need for new tools and concepts. However, designing such complex tools and concept requires methods to be correctly implemented. These methods are studied as part of system engineering to satisfy various identified goals, and more specifically human-system integration, which is the topic of this paper. This article introduces the method used to define key elements of human perception of reality called reality anchors to design scenarios to be tested in a digital twin prototype. This method goes from regulation study to user cognitive function analysis on the specific case of digital twin designing in oil-and-gas industry. This method highlighted the differences between theoretical process and the followed process as well as tools and competencies used to identify reality anchors. This knowledge will then be used to implement a new process to be implemented with a digital twin and scenarios to test the prototype using realistic simulation.

Keywords

Digital twinsDesign methodologyUser centred designProcess modellingOil-and-gas domain
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1617 - 1626
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Anderson, Nancy S., Norman, Donald A., and Draper, Stephen W.. 1988. “User Centered System Design: New Perspectives on Human-Computer Interaction.” The American Journal of Psychology 101(1):148. https://doi.org/10.2307/1422802.CrossRefGoogle Scholar
Boy, Guy A. 1998. “Cognitive Function Analysis for Human-Centered Automation of Safety-Critical Systems.” Pp. 265–272 in Proceedings of the SIGCHI conference on Human factors in computing systems - CHI ’98. https://doi.org/10.1145/274644.274682.CrossRefGoogle Scholar
Boy, Guy A. 2013. Orchestrating Human-Centered Design. Springer. https://doi.org/10.1007/978-1-4471-4339-0.CrossRefGoogle Scholar
Boy, Guy A., and Mc Govern Narkevicius, Jennifer. 2014. “Unifying Human Centered Design and Systems Engineering for Human Systems Integration.” Pp. 151–162 in Complex Systems Design and Management. https://doi.org/10.1007/978-3-319-02812-5-12.CrossRefGoogle Scholar
Camara, Dit Pinto, Stélian, Éric Villeneuve, Dimitri Masson, Guy André Boy, Thierry Barron, and Laetitia Urfels, . 2021. “Digital Twin Design Requirements in Downgraded Situations Management.” in Incom 2021 procedings. (To be published)CrossRefGoogle Scholar
Endsley, Mica R. 1995. “Toward a Theory of Situation Awareness in Dynamic Systems.” Human Factors: The Journal of the Human Factors and Ergonomics Society 37(1):32–64. https://doi.org/10.1518/001872095779049543.CrossRefGoogle Scholar
Endsley, Mica R., Bolte, Betty, and Jones, Debra G.. 2003. Designing for Situation Awareness. CRC Press. https://doi.org/10.1201/9780203485088.CrossRefGoogle Scholar
Gorod, Alex, Sauser, Brian, and Boardman, John. 2008. “System-of-Systems Engineering Management: A Review of Modern History and a Path Forward.” IEEE Systems Journal 2(4):484–499. https://doi.org/10.1109/JSYST.2008.2007163.CrossRefGoogle Scholar
Grieves, Michael, and Vickers, John. 2017. “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems.” Pp. 85–113 in Transdisciplinary Perspectives on Complex Systems. Cham: Springer International Publishing https://doi.org/10.1007/978-3-319-38756-7_4.CrossRefGoogle Scholar
Grieves, Michael W. 2012. “Virtually Indistinguishable: Systems Engineering and PLM.” Pp. 226–242 in IFIP Advances in Information and Communication Technology. Vol. 388 AICT. https://doi.org/ 10.1007/978-3-642-35758-9_20.CrossRefGoogle Scholar
Kunz, Steffen, Fickinger, Tobias, Prescher, Johannes, and Spengler, Klaus. 2010. “Managing Complex Event Processes with Business Process Modeling Notation.” Pp. 78–90 in Lecture Notes in Business Information Processing. Vol. 67 LNBIP. Springer Verlag. https://doi.org/10.1007/978-3-642-16298-5_8.CrossRefGoogle Scholar
Madni, Azad, Madni, Carla, and Lucero, Scott. 2019. “Leveraging Digital Twin Technology in Model-Based Systems Engineering.” Systems 7(1):7. https://doi.org/10.3390/systems7010007.CrossRefGoogle Scholar
Maguire, Martin. 2001. “Methods to Support Human-Centred Design.” International Journal of Human Computer Studies 55(4):587–634. https://doi.org/10.1006/ijhc.2001.0503.CrossRefGoogle Scholar
Minai, Ali A., Braha, Dan, and Bar-Yam, Yaneer. 2006. “Complex Engineered Systems: A New Paradigm.” Pp. 1–21 in Understanding Complex Systems. https://doi.org/10.1007/3-540-32834-3_1.CrossRefGoogle Scholar
Negri, Elisa, Fumagalli, Luca, and Macchi, Marco. 2017. “A Review of the Roles of Digital Twin in CPS-Based Production Systems.” Procedia Manufacturing 11:939–948. https://doi.org/10.1016/j.promfg.2017.07.198.CrossRefGoogle Scholar
Satoglu, Sule Itir, Ustundag, Alp, Cevikcan, Emre, and Bulent Durmusoglu, M.. 2018. “Lean Transformation Integrated with Industry 4.0 Implementation Methodology.” Pp. 97–107 in Lecture Notes in Management and Industrial Engineering. https://doi.org/10.1016/10.1007/978-3-319-71225-3_9CrossRefGoogle Scholar
Sheard, Sarah A., and Mostashari, Ali. 2009. “Principles of Complex Systems for Systems Engineering.” System Engineering 12(4):295–311. https://doi.org/10.1002/sys.20124.CrossRefGoogle Scholar
Unger, Russ, and Chandler, Carolyn. 2009. A Project Guide To Ux Design.Google Scholar
Wehbe, Arz, Merlo, Christophe, and Pilnière, Véronique. 2020. “Coupling Project and System Criteria for Design Coordination: A Focus on Competences Management.” International Journal of Data and Network Science 57–72. https://doi.org/10.5267/j.ijdns.2019.8.002.CrossRefGoogle Scholar