Evidence-based models to support humanitarian operations and crisis management

Ashraf Labib, M. Reza Abdi, Sara Hadleigh-Dunn, Morteza Yazdani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The term humanitarian operation (HO) is a concept extracted from the need to perform supply chain operations in special, risky, and critical events. Understanding and implementing operations under such conditions is a strategic responsibility. Due to its importance, we design a framework for organizational learning from major incidents through root cause analysis The case studies contain a purely industrial disaster; Bhopal and a mixed industrial-natural disaster; Fukushima. An approach is proposed for organizational safety by incorporating techniques related to root cause analysis, by incorporating a hybrid of analytical tools in an innovative dynamic framework and applied to one case study. We also describe the benefits of using such hybrid of techniques. Moreover, we employ the analytic hierarchy process, which is applied to the second case study. We incorporate models to analyse data related to the two major disasters. The case studies in two organizations are then compared with respect to their causes and effects along with the models adopted to support HO& crisis management (CM). The main outcome of this work is demonstration of the use of hybrid modelling techniques to analyse disasters in terms of humanitarian operations and crisis management.
Original languageEnglish
Pages (from-to)113-134
JournalDecision Making: Applications in Management and Engineering
Volume5
Issue number1
Early online date7 Feb 2022
DOIs
Publication statusPublished - 20 Mar 2022

Keywords

  • operations management
  • analytic hierarchy process
  • humanitarian operations management
  • organizational learning
  • fault tree analysis

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