Primavera Risk Analysis training

Secure Your Project Management

Primavera Risk Analysis Training

Risk management is essential to successfully deliver complex projects exposed to uncertainties in costs and schedules. The Primavera Risk Analysis Training enables you to master quantitative risk analysis using the Oracle Primavera Risk Analysis software.

 

Over two days, you will learn to identify, quantify, and prioritise risks, then develop mitigation strategies to safeguard your EPC projects.

 

This training will help you optimise decision-making and ensure project success by fully integrating risk analysis.

Objectives of the Primavera Risk Analysis Training

  • Software Mastery
    Master the features of Primavera Risk Analysis to contribute to better decision-making in project management.

 

  • Probability Evaluation
    Assess the probabilities related to schedules and costs to anticipate and mitigate risks within an EPC project.

 

  • Probabilistic Modelling
    Understand probabilistic modelling and the principles of Monte Carlo simulation for reliable risk analysis.

 

  • Reporting and Monitoring
    Use reporting and monitoring tools to effectively communicate results and recommendations.

Learning Outcomes of the Primavera Risk Analaysis training Training

CERTIFICATION

MESLI Consulting is a certified Gold Partner for Oracle solutions, including Primavera P6, Oracle Primavera Cloud, Primavera Risk Analysis, Unifier, and Aconex.

Programme of the Primavera Risk Analysis Training

1.1 Introduction to Risk Analysis

  • Why improve management of complex projects

  • Differences between deterministic and uncertain parameters

  • Principles of probabilistic modelling

 

1.2 Input Data Structuring

  • Importing schedules from Primavera P6 or MS Project

  • Configuration of calendars, resources, and costs

 

1.3 Task Management and Coding

  • Assigning resources to tasks

  • Coding for risk analysis

  • Grouping and sorting data

 

1.4 Schedule Verification and Safeguarding

  • Quality control of the schedule

  • Securing the baseline

  • Verification reports

 

2.1 Modelling Uncertainties and Risks

  • Assigning uncertainties to durations and costs

  • Hierarchical management via WBS

  • Integration of the risk register

 

2.2 Monte Carlo Simulation and Interpretation

  • Operation and use of iterative simulation

  • Analysis of effects from biased distributions and correlations

  • Penalty assessment

 

2.3 Risk Mitigation Strategies

  • Implementation of corrective measures

  • Risk evolution scenarios

 

2.4 Reporting and Communication

  • Creation of customised graphical reports and tables

  • Tornado diagrams, P-planning, criticality indicators