USING MONTE CARLO SIMULATION TO QUANTIFY THE COST IMPACT OF SYSTEMIC RISK FACTORS IN A PROJECT PORTFOLIO: A CASE STUDY | Zendy

Francois Joubert | Zendy; Martin Snyman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

USING MONTE CARLO SIMULATION TO QUANTIFY THE COST IMPACT OF SYSTEMIC RISK FACTORS IN A PROJECT PORTFOLIO: A CASE STUDY

Author(s) -

Francois Joubert,

Martin Snyman

Publication year - 2021

Publication title -

the south african journal of industrial engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.225

H-Index - 16

eISSN - 2224-7890

pISSN - 1012-277X

DOI - 10.7166/32-4-2518

Subject(s) - systemic risk , portfolio , project risk management , risk analysis (engineering) , risk management , risk management plan , project portfolio management , cost contingency , monte carlo method , risk assessment , limiting , business , project management , computer science , project management triangle , engineering , it risk management , systems engineering , economics , finance , mathematics , statistics , mechanical engineering , financial crisis , computer security , macroeconomics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research