AI Schedule Optimization
Downtown Office Complex - Intelligent scheduling recommendations
AI Insights Summary
30.8%
Overall Risk Score
5
Optimization Scenarios
8
AI Predictions
68.3%
Resource Efficiency
AI-Generated Schedule Scenarios
Multiple optimization strategies analyzed by AIScenario | Strategy | Duration | Cost | Risk Score | Resource Utilization | Confidence | Action |
---|---|---|---|---|---|---|---|
4 | Risk Reduction | 157 days | $3544500 | 0.0% | 65.0% |
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3 | Cost Minimization | 153 days | $2953750 | 0.0% | 68.0% |
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1 | Resource Optimization | 142 days | $3197000 | 0.0% | 75.0% |
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5 | Balanced Approach | 139 days | $3231750 | 0.0% | 77.0% |
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2 | Time Compression | 132 days | $3648750 | 0.0% | 82.0% |
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AI Duration Predictions
Activity | Predicted Duration | Confidence Range | Buffer |
---|---|---|---|
Activity 1 | 10 days | 8-13 days | +1 days |
Activity 3 | 8 days | 6-10 days | +1 days |
Activity 4 | 20 days | 16-26 days | +2 days |
Activity 5 | 20 days | 16-26 days | +2 days |
Activity 6 | 25 days | 20-32 days | +2 days |
Activity 7 | 22 days | 17-28 days | +2 days |
Activity 8 | 30 days | 24-39 days | +3 days |
Activity 2 | 15 days | 12-19 days | +1 days |
Risk Assessment
Resource Optimization
Crew Optimization:
No crew optimization suggestions available.
Utilization Metrics:
50.0%
Average Utilization
0
Peak Crew Need