Probabilistic Scheduling

Monte Carlo Critical Path

Rather than a single deterministic critical path, SpaceLean runs 1,000 schedule simulations on every save. Each task gets a criticality probability, zone congestion penalty, and crew bottleneck score — surfacing future critical tasks days before traditional CPM would.

1,000 Monte Carlo simulations on every schedule save
Criticality probability per task — not just binary critical/not
Zone congestion and penetration penalties baked in to each run
Crew bottleneck scoring detects resource-driven slippage early
Network centrality via Neo4j identifies structural risk nodes

Monte Carlo Simulation

1,000 runs · CP-SAT model

Re-runView Report

P50

89d

P80

97d

P95

104d

T12Slab Pour Z3
92%Critical
T18MEP Shaft L4
71%High
T25Curtain Wall N
63%At-Risk
T08Core Lift B3
41%Watch
T31Fireproofing
18%Safe
Measurable impact

Outcomes that move the schedule.

1,000

Simulations per save

94%

Delay prediction accuracy

7-day

Average forecast lead time

GNN

Neural network critical path