1.Introduction to Cost Engineering

Objective: Understand the role of cost engineering in project delivery.

Topics Covered

 

  • Definition of Cost Engineering
  • Role within Project Controls
  • Relationship between:
    • Estimating
    • Cost Control
    • Scheduling
    • Risk Management
  • Importance in construction, utilities, and industrial projects

Key Concepts

 

  • Project lifecycle cost management
  • Budget development
  • Cost forecasting
  • Cost reporting

2. Project Cost Lifecycle

 

Objective: Understand how costs evolve throughout the project.

Stages

Phase

Cost Engineering Activities

Concept

Order of Magnitude Estimates

Planning

Budget Estimates

Design

Detailed Estimates

Execution

Cost Control & Monitoring

Closeout

Final Cost Reporting

Typical Estimate Classes (AACE)

Estimate Class

Definition

Accuracy Range

Class 5

Concept Screening

-50% to +100%

Class 4

Feasibility

-30% to +50%

Class 3

Budget Authorization

-20% to +30%

Class 2

Control Estimate

-15% to +20%

Class 1

Definitive Estimate

-10% to +15%

3. Cost Estimating Fundamentals

 

Objective: Learn how project estimates are developed.

Estimating Methods

  • Analogous Estimating
  • Parametric Estimating
  • Bottom-Up Estimating
  • Three-point Estimating

Cost Components

  • Labor
  • Materials
  • Equipment
  • Subcontractors
  • Overhead
  • Contingency

Estimating Tools

  • WinEst
  • Excel Models
  • Historical Databases
  • Vendor Quotes
  • Productivity Rates

(This connects well with the WinEst training guide you previously asked for.

4. Cost Breakdown Structure (CBS)

 

CBS aligns with the Work Breakdown Structure.

Example:

Project

  • Engineering
  • Procurement
  • Construction
  • Commissioning

Example Construction CBS

WBS

Activity

Cost Element

1.1

Site Clearing

Labor + Equipment

1.2

Earthworks

Labor + Materials

1.3

Concrete

Materials + Labor

5. Cost Control Process

 

Objective: Monitor and control project spending.

Key Activities

  • Budget allocation
  • Cost tracking
  • Change management
  • Forecasting
  • Variance analysis

Cost Control Cycle

  1. Plan Budget
  2. Track Actual Costs
  3. Compare vs Budget
  4. Forecast Final Cost
  5. Implement corrective actions
 

6. Earned Value Management (EVM)

 

Key Metrics

Metric

Meaning

PV

Planned Value

EV

Earned Value

AC

Actual Cost

Cost Performance Index

Interpretation

CPI

Meaning

CPI > 1

Under budget

CPI = 1

On budget

CPI < 1

Over budget

Schedule Performance Index

7. Forecasting Project Cost

 

Estimate at Completion (EAC)

Common formulas:

EAC = BAC / CPI

Where
BAC = Budget at Completion

Forecast Methods

  1. CPI based forecast
  2. Manual trend forecast
  3. Estimate to complete
 

8. Cost Reporting & Dashboards

 

Typical reporting tools:

  • Power BI
  • Excel dashboards
  • SAP reporting
  • Primavera integration

Common Reports

  1. Cost variance report
  2. Forecast vs budget
  3. Cash flow curves
  4. Productivity reports
 

9. Cost & Schedule Integration

 

Critical for Project Controls maturity.

Integration Areas

Area

Integration

Schedule

Time-phased budget

Estimate

Basis of estimate

Procurement

Commitment tracking

Risk

Contingency analysis

Example
P6 schedule → Cost loaded → Time phased cost curve.

10.Risk & Contingency Management

 

Cost Risks

  • Material escalation
  • Labor productivity
  • Design changes
  • Weather delays

Risk Methods

  1. Monte Carlo simulation
  2. Sensitivity analysis
  3. Contingency allocation
 

11. Cost Engineering Best Practices

 
  1. Maintain Basis of Estimate
  2. Use historical cost databases
  3. Align WBS with CBS
  4. Update forecasts regularly
  5. Integrate cost with schedule
  6. Track commitments vs actuals
 

Case Study (Training Exercise)

Scenario

Utility construction project:

  • Budget: $120M
  • EV: $50M
  • AC: $60M
  • PV: $55M

Questions for trainees:

  1. What is CPI?
  2. What is SPI?
  3. Is the project over or under budget?
  4. Forecast EAC.
 

13. Key Takeaways

 
  • Cost engineering integrates estimate, cost control, and forecasting.
  • Accurate estimates depend on scope definition and historical data.
  • Earned value metrics provide early performance signals.
  • Cost & schedule integration improves project decision-making.