This module turns live-project evidence into a director-ready consultation: logistics risk, programme certainty, delivery/Hoist/Crane demand, contractor risk, tender strategy, lessons learned, ESG evidence and explicit recommendations. The principle is simple: Risk + Prediction + Action.
Reading recent operational evidence and future booked demand once, then calculating locally.
The director view: programme certainty, logistics risk, delivery capacity, Hoist pressure, contractor risk and the overall project-control position.
Six consultation domains: site access, delivery strategy, Crane strategy, temporary-works/logistics interfaces, workforce demand and material flow/storage.
If a tender/programme CSV is available, APG will use Activity/Task, Start, Finish, Level/Location and Trade/Package columns where present. The file stays in this browser session.
Existing evidence is compared with a calculated revised strategy after the mitigations APG recommends. This is a planning forecast, not a contractual programme assessment.
The same evidence that explains today's site is used to size tomorrow's logistics strategy and expose forecast deficits.
Available evidence currently scores delivery reliability, booking behaviour, FORS compliance, dwell and future exposure. Safety cards, RAMS rejection and closeout metrics are not fabricated where they are not structurally captured.
Configure the tender/project assumptions. APG scales measured project intensity to produce a logistics risk score, certainty rating, demand model and indicative resource strategy.
Current-project evidence is distilled into issues, resolutions and tender reuse statements. Cross-project lessons require a shared multi-project evidence store; this module does not pretend one exists yet.
Fast local evidence answers: biggest risk, certainty, contractor concerns, tender strategy, Hoist pressure, delivery capacity and what APG recommends next.
Answers are built from the currently loaded consultation evidence and configured scenario.
Actual, derived, forecast and data-gap states remain explicit so APG does not overstate certainty.