Commissioning Schedule Risk
Checking local engines

Rack arrival to training

Commissioning schedule risk

A likely finish is not a deadline confidence. Propagate task uncertainty across the dependency graph, then see which work actually controls readiness.

Source boundary: the supplied post's 19-day statement is used only as a scenario target. This tool does not verify its historical, company, model, infrastructure, scale, ownership, or future claims.

Commissioning tasks

CSV / triangular days
19 days
10,000
20260712

Bundled sample ready: seven tasks from rack receipt through training smoke test.

Deadline proof

No run yet
Run the schedule before trusting the target.

The graph, 10,000 duration trials, and controlling-path counts are computed locally from the task table.

Ranges, not promises

Each task draws from its min, likely, and max values. The likely column is one point on that distribution, not a confidence level.

Joins wait for the slow branch

Graphlib validates the DAG. Every task starts only after all predecessors finish, so parallel work can still create a controlling join.

Criticality is observed

A task's percentage is how often it lands on the longest sampled path. That is mitigation evidence, not an arbitrary priority score.

Analyze a valid schedule to unlock its evidence export.

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