Abstract
Various studies have shown that a comprehensive view of risk management needs to consider all the uncertainties in the problem. This study examines how new risk management will be based on the two parts of traditional risk management and resilience management. In the first part, uncertainty is examined with historical data and human judgment. In the second part, there is ambiguity about the state of the system, and fuzzy theory can be applied here. In order to reduce the risks, by developing a new risk synergy measure and using the risk impact and likelihood, a new method for risk assessment is presented. The interrelations graph of risks with the fuzzy DEMATEL method is applied to calculate the synergy measure. Next, the organization's resilience is calculated using the concepts of credibility measure in two viewpoints of recovery-based resilience and reconfigure-based resilience. It is then shown how to manage the risks in different budgets using different risk reduction contingency plans. For evaluating the applicability of the proposed methodology, it is implemented in a real case study, and the priority of contingency plans is examined. Some managerial recommendations are presented at the end of the paper.
Published Version
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