Introduction to the course
Large capital-intensive projects in all major industries require substantial - and mostly risky - investments in the acquisition, exploration, and subsequent operation and maintenance of new organizational assets.
The decision whether or not to invest in new capital projects, starts with critical decisions during the exploration phase of a new development, or the expansion of an existing field. The decision-making tools used to analyze project risk under conditions of uncertainty will help companies to determine the probability of success or loss, and will drive the decision to develop or abandon the well.
Of paramount importance therefore, is the systematic and comprehensive evaluation of potential investments, and the development of detailed cash-flow analyses to determine as accurately as possible, the expected returns to the organization under varying conditions of uncertainty over the expected productive life of the project.
This requires the development of sound, realistic, and carefully structured cash-flow projections, reflecting both the initial capital expenditures required for the acquisition of the asset, as well as the operational expenditures required for successful operation and maintenance of the asset over its anticipated productive life.
World-wide an alarming number of large capital projects fail to meet, or overrun their planned budgets, failing to realize both the financial and strategic goals of the organization - the very reason for their being undertaken in the first place - often with sizable increases in capital and operational expenditures, and with substantial financial losses to the organization. In the majority of cases, this is the inevitable consequence of failing to apply the tools and techniques of modern project decision-making, evaluation, financial planning, capital management and cash flow analysis when considering investment into new capital projects.
This KC Academy Project analysis: Tools & Technique for Managing Risk Uncertainity training course will highlight:
- Understanding the decision-making process
- The power of the business case
- Financial decision-making tools
- The importance of project risk management
- How to identify risks during development and respond appropriately
Daily Agenda
DAY 1:
Fundamentals of Decision Analysis
- What is project management decision analysis?
- The purpose of the project business case
- The need for systematic risk management for decision-making
- Risk and uncertainty on projects
- Option analysis
- Identifying key decision-making factors
Measures of Project Profitability
- Fundamental tools of engineering economics
- Time value of money
- Appraisal methods - Discounted Cash Flow Projections
- Time equivalence
DAY 2:
Cash-Flow Modelling and Project Decision Analysis
- Financial Modelling and Project Evaluation
- Internal Rate of Return computations (IRR)
- Determining the Internal Rate of Return (IRR)
- The risk of not understanding IRR
Analysing Project Specifics
- Understanding the project context to assist in decision-making
- Determine stakeholders and their level of influence
- Capture requirements
- Determine scope of work
DAY 3:
The Cost of Capital
- Capital & Operating Expenditures (CAPEX / OPEX)
- Estimating the cost of capital for a project
- Benefit-Cost Ratio (BCR)
- Dis-benefits
Risk Modelling in Practice
- Identify Risks
- Forecasting risk impacts & probabilities
- Opportunity costs, sunk costs & salvage value of a project
- Determining the Risk Priorities
- The need for company cash flow
DAY 4:
Decision Analysis: Expected Value Concept
- Basic Probability Concepts
- Fundamental probability concepts
- Mutually & non-mutually exclusive, independent events
- Quantitative Project Risk Analysis
- Semi-quantitative bow-tie process
- Detailed risk quantification and prioritisation
- Expected monetary value
- Scenario planning
- Sensitivity Analysis Tools
- Simulation process
- Tornado diagram
- Defining the variables - PERT
DAY 5:
Decision Trees, EMV, Risk Responses and ROI
- Decision Tree Analysis
- Developing decision trees
- Solving decision trees
- Risk Responses
- Developing risk responses
- Evaluating response relevance
- ROI Analysis
- Understanding ROI
- Identifying ROI
- Evaluating and presenting your project options