A hybrid model for learning from failures: the Hurricane Katrina disaster

Ashraf Labib; Martin Read

doi:10.1016/j.eswa.2015.06.020

A hybrid model for learning from failures: the Hurricane Katrina disaster

Ashraf Labib, Martin Read

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Abstract

There is a need to facilitate learning from failures in the context of natural and man-made disasters. This paper investigates the multi-faceted nature of research in disasters and the aspect of hybrid approaches in modelling within this domain. The paper applies a framework of reliability and multiple criteria decision analysis techniques to the case of the Hurricane Katrina disaster of 2005. It is shown how this hybrid model can be used through an integrative approach to perform a systematic analysis that can lead to learning from failures.

The proposed framework incorporates and integrates Fault Tree Analysis (FTA), Reliability Block Diagram (RBD) analysis and the Risk Priority Number (RPN) concept, together with the Analytic Hierarchy Process (AHP) which is used as a simulation model for decision support. It is shown how the proposed integrated framework can contribute to our understanding of failures and enhances the ability to extract lessons from failures or disasters. Such lessons are then mapped into specific decisions for prevention, and resource allocations, to help avoid a repeat disaster.

Original language	English
Pages (from-to)	7869-7881
Journal	Expert Systems with Applications
Volume	42
Issue number	21
Early online date	24 Jun 2015
DOIs	https://doi.org/10.1016/j.eswa.2015.06.020
Publication status	Published - 30 Nov 2015

Keywords

Decision making
Natural disasters
Failure Mode Effect and Criticality Analysis
Analytic Hierarchy Process

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10.1016/j.eswa.2015.06.020

LABIB_2015_cright_ESA_A Hybrid Model for Learning from Failures the Hurricane Katrina Disaster
NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 42(21), (2015), DOI: 10.1016/j.eswa.2015.06.020
Accepted author manuscript (Post-print), 691 KB

Experiencing failure and avoiding over-confidence could have prevented some of the world's greatest disasters
Ashraf Labib & Martin Read
29/02/16
1 item of Media coverage
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abstract = "There is a need to facilitate learning from failures in the context of natural and man-made disasters. This paper investigates the multi-faceted nature of research in disasters and the aspect of hybrid approaches in modelling within this domain. The paper applies a framework of reliability and multiple criteria decision analysis techniques to the case of the Hurricane Katrina disaster of 2005. It is shown how this hybrid model can be used through an integrative approach to perform a systematic analysis that can lead to learning from failures. The proposed framework incorporates and integrates Fault Tree Analysis (FTA), Reliability Block Diagram (RBD) analysis and the Risk Priority Number (RPN) concept, together with the Analytic Hierarchy Process (AHP) which is used as a simulation model for decision support. It is shown how the proposed integrated framework can contribute to our understanding of failures and enhances the ability to extract lessons from failures or disasters. Such lessons are then mapped into specific decisions for prevention, and resource allocations, to help avoid a repeat disaster. ",

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A hybrid model for learning from failures: the Hurricane Katrina disaster

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Experiencing failure and avoiding over-confidence could have prevented some of the world's greatest disasters

Cite this