Earned Schedule (ES)

A time-based extension of Earned Value Management that assesses schedule performance in units of time rather than cost.

Key Points

  • ES translates the earned value (EV) into the point in time on the planned value curve where that EV would have been planned.
  • Core indicators: SV(t) = ES - AT (schedule variance in time) and SPI(t) = ES / AT (schedule performance index in time), where AT is the actual time elapsed to the status date.
  • Unlike traditional SPI and SV, ES-based metrics continue to show meaningful schedule performance near project completion.
  • Helps forecast finish dates, assess schedule buffers, and integrate time-focused insights with standard EVM cost metrics.

Example

A project is at week 20 (AT = 20). The earned value achieved to date equals the planned value that was scheduled for week 18. Therefore, ES = 18 weeks. SV(t) = 18 - 20 = -2 weeks (behind schedule), and SPI(t) = 18 / 20 = 0.90.

PMP Example Question

At the status date, AT = 24 weeks and ES = 21 weeks. What is the best interpretation of these results?

  1. The project is 3 weeks under budget.
  2. The project is 3 weeks ahead of schedule.
  3. The project is 3 weeks behind schedule based on time-focused EVM.
  4. The project is performing as planned because SPI is 1.0.

Correct Answer: C — Earned Schedule indicates the work accomplished corresponds to week 21 while 24 weeks have elapsed.

Explanation: SV(t) = ES - AT = 21 - 24 = -3 weeks, showing the project is 3 weeks behind schedule using the Earned Schedule method.

Advanced Project Management — Measuring Project Performance

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This is not abstract theory. You’ll work step by step through Earned Value Management (EVM), learning how cost, schedule, and scope come together to show true performance. You’ll build a solid foundation in EVM concepts, understand why formulas work, and learn how performance data actually supports leadership decisions.

You’ll master Work Breakdown Structures (WBS), control accounts, and budget baselines, then apply core EVM metrics like EAC, TCPI, and variance analysis. Through a detailed real-world example, you’ll forecast outcomes, analyze trends, and understand contingencies and management reserves with confidence.

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