Punzo, G. orcid.org/0000-0003-4246-9045, Tewari, A., Butans, E. et al. (4 more authors) (2020) Engineering resilient complex systems : the necessary shift toward complexity science. IEEE Systems Journal, 14 (3). pp. 3865-3874. ISSN 1932-8184
Abstract
This position paper addresses resilience in complex engineering and engineered systems (CES). It offers a synthesis of academic thinking with an empirical analysis of the challenge. This paper puts forward argumentations and a conceptual framework in support of a new understanding of CES resilience as the product of continuous learning in between disruptive events. CES are in continuous evolution and with each generation they become more complex as they adapt to their environment. While this evolution takes place, new failure modes arise with the engineering of their resilience having to evolve in parallel to cope with them. Our position supports the role of an overarching complexity science framework to investigate the resilience of CES, including their temporal evolution, resilience features, the management and decision layers, and the transparency of boundaries between interconnected systems. The conclusions identify the value of a complexity perspective to address CES resilience. Extending the latest understanding of resilience, we propose a circular framework where features of CES are related to a resilience event and complexity science explains the importance of interconnections with external systems, the increasingly fast system evolution and the stratification of heterogeneous layers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
Keywords: | Resilience; Systems system resilience; Complex systems engineering; Complexity theory; Complex networks. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Dec 2019 15:06 |
Last Modified: | 19 Oct 2021 08:26 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/JSYST.2019.2958829 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154545 |
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Filename: Punzo et al 2020 Engineering resilient complex systems.pdf
Licence: CC-BY 4.0