A systems approach to a resilience assessment for agility

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
R. Hayes
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引用次数: 0

Abstract

This work proposes a theoretical approach to assessing agility in terms of a modified version of resilience during large-scale crisis to sustain operational reliability. The proposed method could be used on subsystem optimization or eventually scaled up to global interconnectedness enabling decision makers to optimize resource allocation and so obtain resilience and agility in troubling times along with long-term sustained prosperity. Introducing weights to various parameters can also allow customizing outcomes such as insuring equitable outcomes, environmental stewardship and proper response to emergencies or any national crisis. The provided mathematical formalism can then become a decision maker tool to predict corrective action outcomes from various responses to a crisis or alternatively to determine sensitivity and potential risk for a crisis from apparently ambient or slowly changing conditions. Ad-hoc examples are considered to demonstrate the generality of the approach.
对敏捷性进行弹性评估的系统方法
这项工作提出了一种理论方法来评估敏捷性在大规模危机期间的弹性的修改版本,以维持操作可靠性。所提出的方法可用于子系统优化或最终扩展到全球互联,使决策者能够优化资源分配,从而在困难时期获得弹性和敏捷性以及长期持续的繁荣。为各种参数引入权重还可以定制结果,例如确保公平的结果、环境管理和对紧急情况或任何国家危机的适当反应。然后,所提供的数学形式可以成为决策者的工具,以预测对危机的各种反应的纠正行动结果,或者从明显的环境或缓慢变化的条件中确定危机的敏感性和潜在风险。我们考虑了一些特别的例子来演示该方法的通用性。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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