David Lowe
Evaluating how system health assessment can trigger anticipatory action for resilience
Lowe, David; Oliver, Philip; Midgley, Gerald; Yearworth, Mike
Authors
Philip Oliver
Professor Gerald Midgley G.R.Midgley@hull.ac.uk
Emeritus Professor of Systems Thinking
Mike Yearworth
Contributors
Azad M. Madni
Editor
Barry Boehm
Editor
Roger G. Ghanem
Editor
Daniel Erwin
Editor
Marilee J. Wheaton
Editor
Abstract
© Springer International Publishing AG 2018. All rights are reserved. In 2014, the Defence Science and Technology Laboratory developed and implemented a novel approach to assess the system by which the United Kingdom Ministry of Defence delivers infrastructure projects and services. This approach brought together existing methods to constitute a hybrid problem structuring method that offered the potential to trigger anticipatory intervention by focusing on the health as opposed to the performance of this system. This paper revisits the initial assessment to examine whether use of the method has led to increased system resilience, and in particular to understand what it was about the method that helped to deliver benefits. Insights with regard to the structures and processes necessary to enable anticipatory action for resilience are presented.
Citation
Lowe, D., Oliver, P., Midgley, G., & Yearworth, M. (2018). Evaluating how system health assessment can trigger anticipatory action for resilience. In A. M. Madni, B. Boehm, R. G. Ghanem, D. Erwin, & M. J. Wheaton (Eds.), Disciplinary Convergence in Systems Engineering Research (765-776). Springer. https://doi.org/10.1007/978-3-319-62217-0_53
Online Publication Date | Nov 26, 2017 |
---|---|
Publication Date | 2018 |
Deposit Date | Apr 1, 2022 |
Publisher | Springer |
Pages | 765-776 |
Book Title | Disciplinary Convergence in Systems Engineering Research |
ISBN | 9783319622170 |
DOI | https://doi.org/10.1007/978-3-319-62217-0_53 |
Keywords | Systems thinking; Resilience; System health monitoring; Anticipatory systems |
Public URL | https://hull-repository.worktribe.com/output/3609083 |
Additional Information | Papers presented at the Conference on Systems Engineering Research (CSER), March 23-25, 2017 at Redondo Beach, CA. |
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