Monte Carlo Simulation

Learn probabilistic event and risk analysis using simulation using ReliaSoft BlockSim

Monte Carlo Simulation

Learn probabilistic event and risk analysis using simulation using ReliaSoft BlockSim

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Monte Carlo Simulation focuses on the principles of probabilistic event and risk analysis using simulation techniques, with an emphasis on using ReliaSoft BlockSim's Event Analysis module software to graphically build simulations utilizing flowcharts. This course also explores advanced risk and reliability analysis methods through integration with analyses, RBDs and/or fault trees created in ReliaSoft BlockSim.

Software used

You will use ReliaSoft BlockSim and its Event Analysis module along with other ReliaSoft products with hands-on practice and case study analysis.

Monte Carlo Simulation for Risk and Reliability focuses on the principles of probabilistic event and risk analysis using simulation techniques, with an emphasis on using ReliaSoft BlockSim's Event Analysis module software to graphically build simulations utilizing flowcharts. This course also explores advanced risk and reliability analysis methods through integration with analyses, RBDs and/or fault trees created in ReliaSoft BlockSim.

Software used

You will use ReliaSoft BlockSim and its Event Analysis module along with other ReliaSoft products with hands-on practice and case study analysis.

Learning objectives

  • Define a problem, conceptualize how to obtain a solution via simulation, implement the flowchart in BlockSim's Event Analysis module, validate the model and use plots and other metrics to analyze and visualize the simulation results
  • Perform sensitivity analysis to evaluate how key inputs will affect the results
  • Automatically estimate optimum values by performing multiple simulation runs

Topics included

  • Understanding deterministic vs. probabilistic analysis
  • Introduction to simulation
  • Introduction to building simulation models in BlockSim's Event Analysis module
  • Basics of risk decision analysis
  • Application of quantitative decision and risk analysis
  • Probabilistic design concepts
  • Advanced reliability simulation analysis applications
  • Maintenance application
  • Life cycle cost analysis and other financial applications

Topics included

  • Understanding deterministic vs. probabilistic analysis
  • Introduction to simulation
  • Introduction to building simulation models in BlockSim's Event Analysis module
  • Basics of risk decision analysis
  • Application of quantitative decision and risk analysis
  • Probabilistic design concepts
  • Advanced reliability simulation analysis applications
  • Maintenance application
  • Life cycle cost analysis and other financial applications

Who should attend

The Monte Carlo Simulation course is for design and maintenance professionals that desire to learn how to apply simulation techniques with reliability modeling and analysis that will enable the organization to study options and assess risk prior to expending time and financial resources in development and maintenance improvements.

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Ready to take your reliability education further?

Ready to take your reliability education further?