Resilience Assessment Based on Time-Dependent System Reliability Analysis

Hu, Zhen; Mahadevan, Sankaran

doi:10.1115/1.4034109

Cited by 45 publications

(14 citation statements)

References 42 publications

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“…Paying attention to the CIS's vulnerability would help identify the weak points of the CIS. These are pos-sible points that would cause the most damage during disruption [97,129,136,140,143,144]. During the disruptions, more vulnerable CISs will experience more severe failure [144].…”

Section: What Types Of Terms Define/determine the Resilience Of Technological Ciss?mentioning

confidence: 99%

“…These are pos-sible points that would cause the most damage during disruption [97,129,136,140,143,144]. During the disruptions, more vulnerable CISs will experience more severe failure [144]. Although there is no consensus about the relationship between vulnerability and resilience, it seems that higher vulnerability of the CIS leads to lower resiliency and vice versa [9,107].…”

Section: What Types Of Terms Define/determine the Resilience Of Technological Ciss?mentioning

confidence: 99%

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The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

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Risk management is a fundamental approach to improving critical infrastructure systems’ safety against disruptive events. This approach focuses on designing robust critical infrastructure systems (CISs) that could resist disruptive events by minimizing the possible events’ probability and consequences using preventive and protective programs. However, recent disasters like COVID-19 have shown that most CISs cannot stand against all potential disruptions. Recently there is a transition from robust design to resilience design of CISs, increasing the focus on preparedness, response, and recovery. Resilient CISs withstand most of the internal and external shocks, and if they fail, they can bounce back to the operational phase as soon as possible using minimum resources. Moreover, in resilient CISs, early warning enables managers to get timely information about the proximity and development of distributions. An understanding of the concept of resilience, its influential factors, and available evaluation and analyzing tools are required to have effective resilience management. Moreover, it is important to highlight the current gaps. Technological resilience is a new concept associated with some ambiguity around its definition, its terms, and its applications. Hence, using the concept of resilience without understanding these variations may lead to ineffective pre- and post-disruption planning. A well-established systematic literature review can provide a deep understanding regarding the concept of resilience, its limitation, and applications. The aim of this paper is to conduct a systematic literature review to study the current research around technological CISs’ resilience. In the review, 192 primary studies published between 2003 and 2020 are reviewed. Based on the results, the concept of resilience has gradually found its place among researchers since 2003, and the number of related studies has grown significantly. It emerges from the review that a CIS can be considered as resilient if it has (i) the ability to imagine what to expect, (ii) the ability to protect and resist a disruption, (iii) the ability to absorb the adverse effects of disruption, (iv) the ability to adapt to new conditions and changes caused by disruption, and (v) the ability to recover the CIS’s normal performance level after a disruption. It was shown that robustness is the most frequent resilience contributing factor among the reviewed primary studies. Resilience analysis approaches can be classified into four main groups: empirical, simulation, index-based, and qualitative approaches. Simulation approaches, as dominant models, mostly study real case studies, while empirical methods, specifically those that are deterministic, are built based on many assumptions that are difficult to justify in many cases.

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Section: What Types Of Terms Define/determine the Resilience Of Technological Ciss?mentioning

confidence: 99%

Section: What Types Of Terms Define/determine the Resilience Of Technological Ciss?mentioning

confidence: 99%

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

View full text Add to dashboard Cite

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“…In recent years, research on resilience has been widely conducted in ecology [1][2][3], psychology [4][5][6][7], economics and organizational science [8][9][10], infrastructure systems [11][12][13][14][15][16][17][18][19][20][21][22][23], and engineering design [25,27,28] to improve the ability of systems or people to quickly respond to and recover from adverse events. In infrastructure systems and engineering design, research has been done to develop metrics for defining resilience [11][12][13][14][18][19][20][21][22][23][24][25] and techniques for assessing resilience [12,[15][16][17][18][19][20][21][22][23]…”

Section: Accepted Manuscript 1 Introductionmentioning

confidence: 99%

Decision making under uncertainty for design of resilient engineered systems

MacKenzie

2019

Reliability Engineering & System Safety

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Designing resilient engineered systems that can sense and withstand adverse events and recover from the effects of the adverse events is increasingly seen as an important goal of engineering design. This paper proposes a value-driven design for resilience (VD2R) framework in order to enable the assessment of system resilience and the optimization of decision variables (or design characteristics) that maximize the value of the system for a firm. The VD2R framework possesses three unique features that allow system resilience and value to be addressed in a theoretically founded and explicit way. First, it assesses the time-dependent resilience of an engineered system by explicitly modeling the redundancy, robustness, and restoration of the system. This assessment captures the stochastic behavior of degradation and restoration and their impact on system resilience. Second, it encompasses a value model that links timedependent system resilience to a design firm's future profit. Third, the VD2R framework offers an efficient optimization method to solve high-dimension, mixed-integer decision-making models. The proposed framework is demonstrated with a case study, where the resilience of a series-parallel system is modeled and its design characteristics optimized.

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“…In this work, resilience of CPS network architecture is studied. The term resilience had been loosely used and semantically overloaded, until recently researchers started looking into more quantitative and rigorous definitions [3][4][5][6][7][8][9][10][11]. Generally speaking, resilience refers to the capability of a system that can regain its function or performance after temporary degradation or breakdown.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Youn et al [5] and Yodo and Wang [6] defined resilience as the sum of system reliability and probability of restoration, which can be estimated from the information of probabilities that a system is at different states. Hu and Mahadevan [7] defined resilience with the considerations of probability of failure, probabilities of failure and recovery times, and performance.…”

Section: Introductionmentioning

confidence: 99%

Resilience Quantification for Probabilistic Design of Cyber-Physical System Networks

Wang

2018

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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Cyber-physical systems (CPS) are the physical systems of which individual components have functional identities in both physical and cyber spaces. Given the vastly diversified CPS components in dynamically evolving networks, designing an open and resilient architecture with flexibility and adaptability thus is important. To enable a resilience engineering approach for systems design, quantitative measures of resilience have been proposed by researchers. Yet, domain-dependent system performance metrics are required to quantify resilience. In this paper, generic system performance metrics for CPS are proposed, which are entropy, conditional entropy, and mutual information associated with the probabilities of successful prediction and communication. A new probabilistic design framework for CPS network architecture is also proposed for resilience engineering, where several information fusion rules can be applied for data processing at the nodes. Sensitivities of metrics with respect to the probabilistic measurements are studied. Fine-grained discrete-event simulation models of communication networks are used to demonstrate the applicability of the proposed metrics.

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Resilience Assessment Based on Time-Dependent System Reliability Analysis

Cited by 45 publications

References 42 publications

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

Decision making under uncertainty for design of resilient engineered systems

Resilience Quantification for Probabilistic Design of Cyber-Physical System Networks

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