A Novel Dynamic Approach for Risk Analysis and Simulation Using Multi-Agents Model

Static risk analysis techniques (SRATs) use event graphs and assessment models. Those are not time-based hence inadequate to model dynamic stochastic systems. This paper proposes a novel approach such systems using Dynamic Fault Trees (DFT). The proposed is called Generic Agent-Based Model (GDABM) for analysis. GDABM built on top of the well-known Modeling Simulation (ABMS) technique. can system agents in both nominal (failure-free) degraded (failure) modes. shows propagation failure between elements provides complete information about system’s configurations. In this paper, detailed case study provided show capabilities study, models chemical reactor/operator performs entire system. managed simulate behavior components successfully Repast Simphony 2.0. Detailed agent behavioral modes with various scenarios, including different time stamps. compared reference model. referred as ABM has given very promising results. A comparison was performed three performance measures. measures used (1) Accuracy, (2) response time, (3) execution time. outperformed by 15% terms accuracy 27% incurs slightly higher (13%) when It be concluded that deliver accepted without incurring much processing overhead.