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Research Papers: Design Automation

Engineering Resilience Quantification and System Design Implications: A Literature Survey

[+] Author and Article Information
Nita Yodo

Department of Industrial and
Manufacturing Engineering,
Wichita State University,
Wichita, KS 67206
e-mail: nxyodo1@wichita.edu

Pingfeng Wang

Associate Professor
Department of Industrial and
Manufacturing Engineering,
Wichita State University,
Wichita, KS 67206
e-mail: pingfeng.wang@wichita.edu

1Corresponding author.

Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received February 29, 2016; final manuscript received July 14, 2016; published online September 12, 2016. Assoc. Editor: Mian Li.

J. Mech. Des 138(11), 111408 (Sep 12, 2016) (13 pages) Paper No: MD-16-1168; doi: 10.1115/1.4034223 History: Received February 29, 2016; Revised July 14, 2016

A resilient system is a system that possesses the ability to survive and recover from the likelihood of damage due to disruptive events or mishaps. The concept that incorporates resiliency into engineering practices is known as engineering resilience. To date, engineering resilience is still predominantly application-oriented. Despite an increase in the usage of engineering resilience concept, the diversity of its applications in various engineering sectors complicates a universal agreement on its quantification and associated measurement techniques. There is a pressing need to develop a generally applicable engineering resilience analysis framework, which standardizes the modeling, assessment, and improvement of engineering resilience for a broader engineering discipline. This paper provides a literature survey of engineering resilience from the design perspective, with a focus on engineering resilience metrics and their design implications. The currently available engineering resilience quantification metrics are reviewed and summarized, the design implications toward the development of resilient-engineered systems are discussed, and further, the challenges of incorporating resilience into engineering design processes are evaluated. The presented study expects to serve as a building block toward developing a generally applicable engineering resilience analysis framework that can be readily used for system design.

Copyright © 2016 by ASME
Topics: Design , Resilience
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References

Figures

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Fig. 1

Resilient versus nonresilient behavior

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Fig. 2

Four states engineering resilience curve [25]

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Fig. 3

Variants of a general resilience curve [58,59]

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Fig. 4

Five states engineering resilience curve [18,20,61]

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Fig. 5

Various topology of recovery profiles [36]

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Fig. 6

Predicted performance loss [63,64]

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Fig. 7

Performance loss before and after disaster

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Fig. 8

Five dimensions of resilience [36]

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Fig. 9

Maximum and avoided performance drop postdisaster [60]

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Fig. 10

Robustness and rapidity performance measures [69]

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Fig. 11

Resilience metrics notations for Eq. (21) [58]

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Fig. 12

Design resilience to improve system performance scheme

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Fig. 13

Notional engineering resilience behavior following a disruptive event [57]

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Fig. 14

A general Bayesian network for engineering resilience [25]

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Fig. 15

Translating system performance to resilience and vice versa

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