The S-curve analysis measures cumulative cost, effort, or advancement over time. It is commonly used to assess performance in high-cost, resource-intensive projects.
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Step 1: Collect baseline data
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Plot the planned value (PV) cumulatively over time (usually weekly or monthly)
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Use the project's budget, work breakdown structure, and projected timelines
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Step 2: Collect actual data
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Step 3: Plot the S-curve
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PV, EV, and AC are placed on the same graph to produce the S-curve
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The shape often begins slowly, accelerates in the center, and then levels out towards completion
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Step 4: Analyze variances
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If EV < PV → scheduling delay
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If AC is more expensive than EV, the cost will increase
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Key indicators are schedule variance (SV = EV - PV) and cost variance (CV = EV - AC)
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Step 5: Use for forecasting
S-curve analysis offers visual cues and metrics for tracking and forecasting project performance.