Quantitative Risk Management

Assessment of landslide susceptibility, semi-quantitative risk and management in the Ilam dam basin, Ilam, Iran

Presenting a semi-quantitative model based on the resiliency engineering management commitment index in assessing the level of preparedness against emergency situations of hospitals in a fuzzy environment (case study: selected Faraja hospitals in 202

Abstract Background and Objective: The main index in resilience engineering is the management commitment index. In this study, a semi-quantitative risk assessment method based on the fuzzy hierarchical analysis method for management commitment index was implemented in evaluating the resilience level of two selected hospitals. Materials and methods: At first, evaluation tools including a 17-qu...

Quantitative risk management in gas injection project: a case study from Oman oil and gas industry

The purpose of this research was to study the recognition, application and quantification of the risks associated in managing projects. In this research, the management of risks in an oil and gas project is studied and implemented within a case company in Oman. In this study, at first, the qualitative data related to risks in the project were identified through field visits and extensive interv...

Probabilistic Landslide Risk Analysis and Mapping (Case Study: Chehel-Chai Watershed, Golestan Province, Iran)

The efficiency of three statistical models, AHP surface-weighted density bivariate (semi-quantitative models), stepwise multivariate regression and logistic multivariate regression models were compared in Chehel-Chai watershed in Golestan province, Iran. In current study the hazard map was prepared according to the top model of landslide hazard map. Chehel-Chai watershed is located as one of Go...

Using fuzzy FMEA and fuzzy logic in project risk management

Risk management is one of the most important phases of project management and isthe most recently used by many researchers. In this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.Then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy FMEA a...

Quantitative Risk Assessment of Condensate Storage Tank, Considering Domino Effects

Introduction: In process industries, some of the primary events may result in secondary events in an industrial unit called the domino effect. Since refinery storage tanks are always at risk of fire and explosion, quantitative risk assessment is important in determining the severity and outcome of an accident, taking into account the effects of dominoes on the main industry, neighbors, and soci...