Business, Commerce and Management Studies Project Management

Earned Value Management for Project Cost and Schedule Performance Training

SAQA US 243825 | NQF 5 | Credits 20 | Duration 17 Days
From $2,905 per delegate

Description

This course equips learners with the skills to monitor and control project cost and schedule performance using earned value management (EVM) techniques. Participants will learn to calculate key EVM metrics, interpret variances, and forecast project outcomes to support informed decision-making. The course ensures alignment with industry standards and enhances project governance.

Learning Outcomes

  • Apply earned value management principles to measure project cost and schedule performance.
  • Calculate key EVM metrics including planned value, earned value, and actual cost.
  • Analyze cost and schedule variances to identify performance deviations.
  • Evaluate project performance indices (CPI and SPI) to forecast completion estimates.
  • Demonstrate the use of EVM data to support corrective action decisions.
  • Design a simple EVM reporting framework for project status updates.

Target Audience

Project managers, project planners, cost controllers, and team leads responsible for tracking project performance and reporting to stakeholders.

Prerequisites

None — open enrollment

Course Outline

Day 1: Introduction to Earned Value Management

Objectives:
• Define Earned Value Management and its purpose in project management
• Explain the key concepts of planned value, earned value, and actual cost
• Identify the benefits of EVM for cost and schedule performance
• Recognize the historical context and standards for EVM

Topics:
• Overview of project management and performance measurement
• Definition and origin of EVM
• Key EVM metrics: Planned Value (PV), Earned Value (EV), Actual Cost (AC)
• EVM as an early warning system
• EVM standards and frameworks (e.g., PMI, SAQA)
• Benefits of integrating cost and schedule data

Day 2: Project Planning and the Work Breakdown Structure

Objectives:
• Create a Work Breakdown Structure (WBS) for a project
• Explain the role of the WBS in EVM
• Develop a project schedule and assign costs
• Understand the importance of baseline establishment

Topics:
• Principles of WBS creation
• WBS dictionary and coding
• Integrating WBS with project schedule
• Cost allocation to WBS elements
• Establishing the performance measurement baseline
• Common pitfalls in WBS development

Day 3: Cost and Schedule Baselines

Objectives:
• Define and develop cost and schedule baselines
• Calculate Planned Value (PV) over time
• Understand the concept of the time-phased budget
• Apply the concept of control accounts

Topics:
• Cost baseline: budget at completion (BAC)
• Schedule baseline: planned schedule
• Time-phased budget and PV curve
• Control accounts and management reserves
• Baseline change control
• Example: building a baseline

Day 4: Earned Value Metrics - Earned Value

Objectives:
• Define Earned Value (EV) and its calculation methods
• Apply the 0/100, 50/50, and percent complete rules
• Understand physical percent complete versus monetary value
• Calculate EV for different work packages

Topics:
• EV definition and meaning
• Methods for measuring EV: fixed formula, weighted milestones, percent complete
• Physical percent complete and subjective assessment
• EV calculation examples
• Challenges in EV measurement
• Linking EV to project progress

Day 5: Actual Cost and Variance Analysis

Objectives:
• Define Actual Cost (AC) and its sources
• Calculate cost variance (CV) and schedule variance (SV)
• Interpret positive and negative variances
• Analyze variances to identify issues

Topics:
• Actual Cost: direct and indirect costs
• Cost Variance (CV = EV - AC)
• Schedule Variance (SV = EV - PV)
• Variance interpretation and thresholds
• Root cause analysis of variances
• Reporting variances to stakeholders

Day 6: Performance Indices: CPI and SPI

Objectives:
• Calculate Cost Performance Index (CPI) and Schedule Performance Index (SPI)
• Interpret CPI and SPI values
• Use indices to forecast project performance
• Understand the relationship between CPI and SPI

Topics:
• CPI = EV/AC; SPI = EV/PV
• Interpretation: >1, =1, <1
• CPI and SPI trends over time
• Composite indices: critical ratio
• Using indices for early warning
• Examples and exercises

Day 7: Forecasting: Estimate at Completion and Estimate to Complete

Objectives:
• Calculate Estimate at Completion (EAC) using different formulas
• Determine Estimate to Complete (ETC)
• Apply variance at completion (VAC)
• Select appropriate forecasting method based on project conditions

Topics:
• EAC = BAC/CPI; EAC = AC + (BAC - EV); other formulas
• ETC = EAC - AC
• Variance at Completion (VAC = BAC - EAC)
• To-Complete Performance Index (TCPI)
• Selecting forecasting methods
• Forecasting exercises

Day 8: Advanced Forecasting and To-Complete Performance Index

Objectives:
• Calculate and interpret TCPI for both BAC and EAC
• Understand the implications of TCPI on project management
• Apply TCPI to assess achievability of remaining work
• Integrate TCPI with performance indices

Topics:
• TCPI = (BAC - EV) / (BAC - AC) or (BAC - EV) / (EAC - AC)
• Interpretation of TCPI: feasibility of remaining work
• TCPI trends and thresholds
• Case studies: TCPI analysis
• Combining CPI, SPI, and TCPI
• Decision making based on TCPI

Day 9: Schedule Performance Analysis: Schedule Variance and Schedule Performance Index

Objectives:
• Deepen understanding of schedule variance and SPI
• Analyze schedule performance in terms of time (ES, EF)
• Introduce earned schedule (ES) concept
• Apply schedule analysis techniques to real scenarios

Topics:
• Traditional SV and SPI limitations
• Earned Schedule (ES) methodology
• Schedule variance in time units (SV(t))
• Schedule Performance Index in time (SPI(t))
• Comparison with traditional metrics
• Practice with earned schedule

Day 10: Cost and Schedule Integration and Reporting

Objectives:
• Integrate cost and schedule performance data
• Create integrated performance reports
• Communicate EVM results to stakeholders
• Use EVM dashboards and visual tools

Topics:
• Integrated reporting: cost and schedule together
• EVM reports: performance reports, variance reports
• Dashboard design for EVM metrics
• Communicating with non-technical stakeholders
• Example reports and templates
• Best practices in reporting

Day 11: Change Management and Baseline Maintenance

Objectives:
• Manage changes to the performance measurement baseline
• Understand the change control process
• Update EVM metrics after approved changes
• Maintain data integrity throughout changes

Topics:
• Types of baseline changes: scope, schedule, cost
• Change control board and procedures
• Impact assessment of changes
• Rebaselining vs. revising forecasts
• Documenting changes
• Case study: managing a change

Day 12: EVM Implementation Challenges and Best Practices

Objectives:
• Identify common challenges in EVM implementation
• Apply best practices to overcome challenges
• Tailor EVM to different project types
• Understand organizational considerations

Topics:
• Common pitfalls: data quality, resistance, complexity
• Best practices: phased implementation, training, automation
• Tailoring EVM for agile, small, or large projects
• Organizational culture and EVM adoption
• Case studies of successful implementation
• Lessons learned

Day 13: EVM in Agile and Hybrid Environments

Objectives:
• Adapt EVM principles for agile projects
• Understand the role of EVM in hybrid methodologies
• Calculate EVM metrics in iterative development
• Integrate EVM with agile performance measures

Topics:
• Agile metrics: velocity, burn-down charts
• EVM adaptation for agile: EV based on story points
• Hybrid approaches: waterfall with agile components
• Challenges and solutions
• Case studies: agile EVM
• Practical examples

Day 14: Risk Management and EVM Integration

Objectives:
• Integrate risk management with EVM
• Use EVM to identify and quantify risks
• Incorporate contingency reserves into baselines
• Apply risk-adjusted forecasts

Topics:
• Risk identification through variance analysis
• Contingency reserves and management reserves
• Risk-adjusted EAC
• Monte Carlo simulation with EVM
• Risk response planning using EVM data
• Examples and exercises

Day 15: EVM Software Tools and Automation

Objectives:
• Evaluate EVM software tools
• Use a tool to calculate EVM metrics
• Automate data collection and reporting
• Understand tool integration with project management systems

Topics:
• Overview of EVM software: MS Project, Primavera, others
• Data input: WBS, actuals, progress
• Generating EVM reports automatically
• Tool features: dashboards, alerts
• Integration with ERP and accounting systems
• Hands-on tool demonstration

Day 16: Case Studies and Practical Application

Objectives:
• Apply EVM to real-world case studies
• Analyze performance data and make recommendations
• Present EVM findings to management
• Demonstrate proficiency in EVM calculations and interpretation

Topics:
• Case study 1: construction project
• Case study 2: IT project
• Case study 3: manufacturing project
• Group analysis and presentation
• Feedback and discussion
• Lessons from case studies

Day 17: Final Assessment and Course Wrap-Up

Objectives:
• Complete a comprehensive EVM assessment
• Review key concepts and skills
• Create a personal action plan for EVM implementation
• Receive feedback and certification information

Topics:
• Final written exam: calculations and analysis
• Practical exercise: simulate a project EVM
• Course review and Q&A
• Action planning for workplace application
• Certification process
• Course evaluation

Practicals

48 hours of practicals To be conducted online or on-campus or in-house
Overview

The practicals component provides hands-on experience in calculating EVM metrics, using software tools, and analyzing real-world scenarios. Learners will practice creating baselines, tracking performance, and generating reports to reinforce theoretical concepts and develop applied skills.

Practical Activities
  • Practical 1: Building a WBS and Baseline — Learners construct a work breakdown structure for a sample project, assign costs and durations, and establish a time-phased budget baseline using spreadsheet software. (8h)
  • Practical 2: Calculating EVM Metrics — Using provided project progress data, learners calculate PV, EV, AC, CV, SV, CPI, SPI, EAC, ETC, and TCPI, and interpret the results. (12h)
  • Practical 3: EVM Software Simulation — Learners use a project management tool (e.g., MS Project or Primavera) to input a project plan, update progress, generate EVM reports, and analyze dashboards. (16h)
  • Practical 4: Case Study Analysis and Presentation — In groups, learners analyze a complex case study with real project data, prepare an EVM analysis report, and present findings to the class for feedback. (12h)

Summatives

Each delegate is assessed continuously throughout the course via daily exercises, scored practical assignments, and a final summative test at the end.

Practical Assignments — 30%

Practical assignments are observed and scored against a rubric during the practical sessions. Each delegate's practical mark is averaged into a single 100% score and contributes 30% to the final total.

Daily Exercises — 20%

Every training day ends with a multiple-choice exercise scored out of 100%. The scores from each daily exercise are averaged across the duration of the course to produce a Daily Average mark, which contributes 20% to the final total.

Final Test — 50%

On the last day a final summative test is written. It is a multiple-choice paper with multiple-answer questions: each question may have more than one correct option, and a single wrong selection on a question marks the entire question wrong — no partial credit. The final test is scored out of 100% and contributes 50% to the overall mark.

Final Total
Component Out of Weight
Practical Assignments (rubric-scored) 100% 30%
Daily Average (multiple choice) 100% 20%
Final Test (multi-answer multiple choice) 100% 50%
Final Total 100%

All marks are recorded on the AATICD LMS and visible to each learner under their account.

Certificate

Certificate of Completion

Awarded to delegates who achieve an overall mark of 50% or higher on the Final Total (Practicals 30% + Daily Average 20% + Final Test 50%).

How it works
  • Certificates are auto-generated on the AATICD LMS as soon as the marks pass the 50% threshold.
  • Each certificate is a branded PDF with the delegate's name, the course title, the unit standard ID, NQF level, credits, and the date of issue.
  • You can download or print your certificate from your LMS dashboard at any time after issue — there's no reissue fee and no expiry date.
  • If you scored under 50% you can sit the final test again at the next scheduled session at no extra cost.
Where to find it

Sign in to the LMS, open your dashboard, and your certificates appear under My Certificates. Each entry has a View / Download button and a print option.

Training Discounts

Group discounts apply automatically — the more delegates you enrol, the greater the saving. Discounts are calculated at 3% per 5 delegates, scaling up to 40% off for 100+ delegates.

Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% discount per 5 delegates, up to 40% off for 100+ delegates. Contact us for a custom group quote.

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Training Discounts
Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% off per 5 delegates, up to 40% for 100+

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