Glossary
Earned Schedule (ES)
A time-based extension of EVM that addresses the limitations of Schedule Variance and SPI once a project passes its planned completion date — giving a more reliable schedule performance measure late in delivery.
Earned Schedule (ES) is a refinement of classical Earned Value Management that addresses a well-known limitation of the traditional SV and SPI metrics: as a project approaches and passes its planned completion date, SV converges to zero and SPI converges to 1.0 regardless of actual schedule performance. A project that is six months late will show SPI = 1.0 at the original planned completion date, because EV has caught up with PV in cost terms even though time has run out. ES replaces the cost-based view with a time-based one.
The core ES insight is to measure schedule performance in time units rather than cost units. ES is the time at which the current EV value was planned to have been achieved. SV(t) = ES − AT (Actual Time) gives variance in time units (typically months or weeks), and SPI(t) = ES / AT gives schedule performance index in the same time-based framework. These metrics remain valid and informative throughout delivery, including after the planned completion date, making ES substantially more reliable for forecasting late in the project lifecycle.
Earned Schedule is particularly valuable on long-duration or delay-prone programmes where traditional EVM metrics become unreliable in the final third of delivery. The method is supported in most commercial EVM software and is increasingly expected on UK defence and major public-sector programmes. The main pitfall is that ES inherits the weaknesses of the underlying EV measurements — if EV is being gamed, or the baseline is not properly structured, ES will not rescue the analysis. ES is a refinement on top of good EVM discipline, not a replacement for it.
Used in practice
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