Campus Units

Industrial and Manufacturing Systems Engineering

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

1-2021

Journal or Book Title

Decision Support Systems

Volume

140

First Page

113406

Research Focus Area(s)

​Operations Research

DOI

10.1016/j.dss.2020.113406

Abstract

Due to the increasing occurrence of disruptions across our global society, it has become critically important to understand the resilience of different socio-economic systems, i.e., to what extent those systems exhibit the ability both to resist a disruption and to recover from one once it occurs. In order to characterize this ability, however, one must be able to quantitatively measure the relative level of resilience that a given system displays in response to a disruptive event. Such a measurement should be easily understandable and straightforward to implement, but it should also utilize a consistent frame of reference so that one can properly compare the relative performance of different systems and assess the relative effectiveness of different resilience investments. With this in mind, this paper presents an improved approach for measuring system resilience that supports better decision making by providing both consistency and flexibility across different contexts. The theoretical basis for the approach is developed first, and then its advantages and limitations are illustrated in the context of several different practical examples.

Comments

This is a manuscript of an article published as Zobel, Christopher W., Cameron A. MacKenzie, Milad Baghersad, and Yuhong Li. "Establishing a frame of reference for measuring disaster resilience." Decision Support Systems 140 (2021): 113406. DOI: 10.1016/j.dss.2020.113406. Posted with permission.

Copyright Owner

Elsevier B.V.

Language

en

File Format

application/pdf

Published Version

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