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Edition 1 · August 2026
The Quantitative Schedule Risk Analysis Handbook
Ten chapters on doing schedule risk analysis honestly – free, no signup, no gate. Written by the team behind Epoch SRA; useful whichever tool you use.
Start reading – Chapter 1 Download the PDF
- Why single dates lie
Every program we have worked on had two schedules.
- Merge bias: the arithmetic of being late
Here is the whole chapter in three sentences. Two parallel paths, each 90% likely to finish by March, give the point where they merge an 81% chance of…
- Reading a distribution: what P80 promises and what it doesn't
A schedule risk analysis does not produce a date. It produces a distribution of dates – typically from tens of thousands of simulated program futures –…
- Is your schedule analyzable?
Before running any simulation, ask a harder question: is your schedule a network, or a drawing of one?
- From risk register to simulation
Every program keeps a risk register. Almost none of them are connected to the schedule. Likelihood and severity get scored, the heat map gets presented –…
- Sensitivity: measured, not assumed
Two rankings of the same risks. The first: sorted by likelihood × severity, the register's own arithmetic. The second: sorted by how much each risk…
- Calibration: whose numbers, and why trust them
A Monte Carlo simulation is arithmetic on assumptions. The arithmetic is never wrong; the assumptions usually are. Calibration is the discipline of…
- Cost through the schedule
Schedule risk and cost risk are usually analyzed by different people with different tools, then stapled together in a review. The staple is the weakness:…
- Running an SRA your review board believes
The mathematics of the previous chapters fail for a non-mathematical reason more often than any other: the room does not believe the numbers. Belief is…
- Choosing tools: the questions that matter
This chapter is deliberately vendor-neutral, ours included. The SRA tool market is small and genuinely differentiated – enterprise platforms, scheduler…
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