Evidence-based models to support humanitarian operations and crisis management

Abstract

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.

Hybrid Approach for the Financial Assessment of Companies using Fuzzy Multi-Criteria Decision-Making and Self-Organizing Maps

“…These findings are the main reasons for selecting the FAHP method in this study. Multiple studies conduct systematic literature review (SLR) on AHP and FAHP (Ishizaka & Mu, 2023;Labib et al, 2022;Madzík & Falát, 2022;Tavana et al, 2021). As AHP is a widely used approach, multiple studies perform systematic literature reviews.…”