Durations set from historical productivities assume a crew that can be staffed. Where the trade market is tight, the same activity takes longer with a less experienced crew, and the effect compounds across a congested sequence.
We treat resource availability as an explicit schedule input: crew composition, ramp-up curves and realistic learning effects, tested against what the site is actually achieving month to month.
This matters for claims as well as for planning. A disruption claim that ignores the claimant's own staffing constraints will not survive scrutiny, and a baseline that ignored them was never achievable.
What we recommend
- Model crew ramp-up and learning curves rather than flat productivities.
- Track achieved output weekly so drift is visible early.
- Separate market-driven productivity loss from employer-caused disruption.
Commentary prepared by Elite Analytics Inc. for general information. It is not legal advice.