Open AccessEvidence-based models to support humanitarian operations and crisis management
Author(s) -
Ashraf Labib,
M. Reza Abdi,
Sara HadleighDunn,
Morteza Yazdani
Publication year - 2022
Publication title -
decision making. applications in management and engineering/decision making: applications in management and engineering
Language(s) - English
Resource type - Journals
eISSN - 2620-0104
pISSN - 2560-6018
DOI - 10.31181/dmame030222100y
Subject(s) - crisis management , emergency management , root (linguistics) , natural disaster , process (computing) , process management , supply chain , analytic hierarchy process , humanitarian aid , root cause , computer science , hierarchy , supply chain management , root cause analysis , business , operations research , humanitarian logistics , risk analysis (engineering) , management science , operations management , engineering , political science , economics , marketing , management , forensic engineering , geography , law , linguistics , philosophy , meteorology , operating system
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 at Bhopal and a mixed industrial-natural disaster at Fukushima. An approach is proposed for organizational safety by incorporating techniques related to root cause analysis applied to one case study. Moreover, we employ the analytic hierarchy process, which is applied to the second case study. We incorporate operations management models to analyse data related to 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 contribution is the use of hybrid modelling techniques to analyse disasters in terms of humanitarian operations and crisis management.