The role of protocol layers and macro-cognitive functions in engineered system resilience
The role of protocol layers and macro-cognitive functions in engineered system resilience
复制标题
协议层和宏观认知功能在工程系统弹性中的作用
DOI：
10.1016/j.ress.2019.106508
复制
发表时间：
2019
影响因子：
8.1
通讯作者：
Francis, Royce A.
中科院分区：
文献类型：
--
作者：
Amodeo, Domenico C.;Francis, Royce A.
在过去的二十年里，工程化的系统弹性已经成为研究人员、政策制定者和管理者的一个重要概念。它对于对社会和经济系统至关重要的复杂系统的运行至关重要，例如相互依存的关键基础设施。虽然基础设施弹性的测量已经得到了很好的研究，但在本文中，作者提出了这样的概念，即系统选择的自组织策略是应对意外事件的机制。自组织是临时修改系统流程和组织间关系以更好地应对破坏性事件的基本活动。作者建立了复杂系统如何管理弹性的现有概念，并在交通网络的背景下说明了新概念。如果存在自我组织的策略，它们可以被定义并表征为有限数量的原型。本文将自组织的概念发展为弹性管理的一个重要部分，并提供了两个说明性的案例研究，这是对这些策略的早期尝试[4]。通过为决策者在不确定情况下如何管理响应提供背景，了解重组战略可能有助于更好地理解如何应用传统的弹性衡量标准，或者如何在复杂系统中评估和管理风险。
Engineered system resilience has emerged as an important concept for researchers, policy makers, and managers over the past two decades. It is critical to the operation of complex systems that are crucial to social and economic systems, such as interdependent critical infrastructures. While the measurement of infrastructure resilience is well-studied, in this paper the authors present the concept that a system's selected strategy for self-organizing is the mechanism for contending with unanticipated events. Self-organizing is a fundamental activity of temporarily modifying system processes and inter-organizational relationships to better respond to a disruptive event. The authors build on existing concepts of how complex systems manage resilience, and illustrate the new concept in the context of transportation networks. If strategies for self-organizing exist, they can be defined and characterized into a limited number of archetypes. This paper develops the concept of self-organizing as an important part of resilience management, and presents two illustrative case studies which are early attempts to characterize these strategies [4]. Understanding strategies for re-organization may help to improve understanding of how traditional resilience metrics are applied or how risk is assessed and managed in complex systems, by providing a context for how decision makers manage responses under uncertain circumstances.
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DOI：
10.1016/j.omega.2018.08.012
发表时间：
2019
期刊：
Omega
影响因子：
--
作者：
Matthew D. Wood;Emily M. Wells;Glenn Rice;I. Linkov
通讯作者：
I. Linkov
影响因子：
6.4
作者：
Hoffman, Robert R.;Woods, David D.
通讯作者：
Woods, David D.
影响因子：
3.8
作者：
Park, J.;Seager, T. P.;Linkov, I.
通讯作者：
Linkov, I.
影响因子：
13.6
作者：
Ganin AA;Kitsak M;Marchese D;Keisler JM;Seager T;Linkov I
通讯作者：
Linkov I
DOI：
--
发表时间：
2006
期刊：
影响因子：
--
作者：
Robert S. Radvanovsky
通讯作者：
Robert S. Radvanovsky