Modern Risk Quantification in Complex Projects
Modern Risk Quantification in Complex Projects
Non-linear Monte Carlo and System Dynamics Methodologies
Raydugin, Yuri G.
Oxford University Press
07/2020
376
Dura
Inglês
9780198844334
15 a 20 dias
882
2: Conventional PRM Methodologies
3: Overview of conventional risk quantification methods
4: Overview of unconventional risk quantification methods
5: Project Zemblanity business case (I): linear Monte Carlo schedule and cost risk analysis (L-SCRA)
6: A brief introduction to system dynamics
7: Project system dynamics: a linear case
8: Introduction to project complexity
9: Interactions in a project system
10: A project structure subsystem (PSS)
11: A project delivery subsystem (PDS)
12: Project system maturity evaluation
13: Non-linear multipliers for risk interactions
14: Non-linear Monte Carlo modeling requirements
15: Project Zemblanity business case (II): non-linear Monte Carlo schedule and cost risk analysis (N-SCRA)
16: Project system dynamics: a non-linear case
17: Spin-off discussions on project complexity
18: Conclusion
2: Conventional PRM Methodologies
3: Overview of conventional risk quantification methods
4: Overview of unconventional risk quantification methods
5: Project Zemblanity business case (I): linear Monte Carlo schedule and cost risk analysis (L-SCRA)
6: A brief introduction to system dynamics
7: Project system dynamics: a linear case
8: Introduction to project complexity
9: Interactions in a project system
10: A project structure subsystem (PSS)
11: A project delivery subsystem (PDS)
12: Project system maturity evaluation
13: Non-linear multipliers for risk interactions
14: Non-linear Monte Carlo modeling requirements
15: Project Zemblanity business case (II): non-linear Monte Carlo schedule and cost risk analysis (N-SCRA)
16: Project system dynamics: a non-linear case
17: Spin-off discussions on project complexity
18: Conclusion