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Systemic resilience model
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Image Reproduction & Graphics Design)ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8701-8689
2015 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, ISSN 0951-8320, Vol. 141, 22-32 p.Article in journal (Refereed) Published
Abstract [en]

It has been realized that resilience as a concept involves several contradictory definitions, both for instance resilience as agile adjustment and as robust resistance to situations. Our analysis of resilience concepts and models suggest that beyond simplistic definitions, it is possible to draw up a systemic resilience model (SyRes) that maintains these opposing characteristics without contradiction. We outline six functions in a systemic model, drawing primarily on resilience engineering, and disaster response: anticipation, monitoring, response, recovery, learning, and self-monitoring. The model consists of four areas: Event-based constraints, Functional Dependencies, Adaptive Capacity and Strategy. The paper describes dependencies between constraints, functions and strategies. We argue that models such as SyRes should be useful both for envisioning new resilience methods and metrics, as well as for engineering and evaluating resilient systems.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 141, 22-32 p.
Keyword [en]
Resilience, Systemic model, Self-monitoring, Safety II, Adaptive systems
National Category
Other Computer and Information Science
URN: urn:nbn:se:liu:diva-115859DOI: 10.1016/j.ress.2015.03.013ISI: 000357145200004OAI: diva2:796884
Available from: 2015-03-20 Created: 2015-03-20 Last updated: 2015-09-03

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Lundberg, JonasJohansson, Björn JE
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Media and Information TechnologyThe Institute of TechnologyHuman-Centered systemsFaculty of Science & Engineering
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