RISK MANAGEMENT 3
RISK ANALYSIS
n Dependent and Independent Factors
n Dependent and Independent Variables
n Impact Measures
n Causes
n Treatment and Mitigation
n Planning and Design
n Policy measures and Instruments
RISK MODELLING
n Goals : P = Kinerja
n Risk prioritizing : P = f(X).f(D)
n Basic Risk Model : f(X).f(D).f(C),f(T)
n Risk Optimization and Simulation
P = K{R[f(X).f(D).f(C).f(T)]},
P = Performancs, K = Kebijakan, R = Rencana, X = Faktor Resiko, D =Dampak, C = Cause/ penyebab, T = Tinadakan koreksi
n Parametrics : Regressions, Corellation etc.
n Non-Parametrics : Mean, mode etc
n AHP
n Simulation & Monte Carlo Methods
- Establishment Samples for Modelling with Risk Management Analysis's Method
- Probability Distribution's establishment every variable
- Historical data collecting or another via model makings with secondary data most verification, observation that valid, experts, & another mean's count, variance s2, etc.
- Simulated implement every variable conditioner accords Fit's Batch distribution with random number generation, sample = n
- Analysis & Frequency's interpretation and Cumulative Distribution, etc..
- Does sensitivity Analysis,Qualitative & Quantitative on key element, etc..
- Conclusion collation for decision making & another recommendation for the purpose Step Risk Treatment further & “Good Luck ” ….
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