Pull Planning AI
AI-assisted Last Planner System pull planning for collaborative scheduling.
Definition
Pull Planning AI supports the Last Planner System by facilitating collaborative pull planning sessions. It helps teams work backward from milestones, identify handoffs between trades, and create commitment-based schedules that reflect actual field conditions and crew capabilities.
In Depth
Pull planning (part of the Last Planner System) works backwards from a milestone to determine the latest start date for each prerequisite activity. This collaborative process produces more realistic schedules than top-down CPM scheduling because it incorporates the trade contractors' input on durations, sequences, and constraints.
AI supports pull planning by tracking the constraint log and monitoring make-ready performance. Each upcoming activity has prerequisites (prior work complete, materials delivered, submittal approved, crew available) that must be satisfied before the activity can start. AI monitors the status of each constraint and alerts the team when constraints are not being removed on schedule, giving time for intervention before the downstream activity is delayed.
Examples
Facilitating pull planning sessions
Tracking weekly work plans
Measuring plan percent complete
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Pull Planning AI supports the Last Planner System by facilitating collaborative pull planning sessions. It helps teams work backward from milestones, identify handoffs between trades, and create commitment-based schedules that reflect actual field conditions and crew capabilities.
Facilitating pull planning sessions. Tracking weekly work plans. Measuring plan percent complete.
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