A hybrid model for learning from failures: the Hurricane Katrina disaster
Research output: Contribution to journal › Article › peer-review
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 |
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Pages (from-to) | 7869-7881 |
Journal | Expert Systems with Applications |
Volume | 42 |
Issue number | 21 |
Early online date | 24 Jun 2015 |
DOIs | |
Publication status | Published - 30 Nov 2015 |
Documents
- LABIB_2015_cright_ESA_A Hybrid Model for Learning from Failures the Hurricane Katrina Disaster
Rights statement: 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, PDF document
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