Operations Dashboard
Real-time overview of crew operations and flight status
🔍 Dashboard Filters
21
Total Flights
3
Active Issues
47
Crew Members
8
Routes Covered
Sick Leave Replacements
8
📈
Jan 1-2: Both days affected
📊 FO Pavlaković: 2 days consecutive
LVO Weather Disruptions
3 FOs
⚠️
Đurinović, Kašuba, Bašić
📅 Impact: Jan 1→2 duty changes
Cascade Effects
1→2
🔗
SE Soldo → SE Kovačić
🎯 OU414/5: Unfit to fly impact
Crew Control Workload
15
📋
Total changes: Jan 1-2
👥 Officers: Jukić/Matijašević, Tunjić
🧠
AI Predictive Insights
Real-time predictions and automated recommendations
🔍 PATTERN DETECTED
FO Pavlaković: 2-day sick pattern
Jan 1-2: Multiple replacement cascades
📊 LVO IMPACT ANALYSIS
3 FOs affected for next-day duties
Forward planning disruption: Jan 1→2
🎯 CREW SWAP EFFICIENCY
Planned swaps: 4 proactive requests
CP Šitum/Grgec, FO Mrnjavac/Šoštarić
📊
Day-by-Day Impact Analysis
Comparative analysis of crew control disruptions
📅 January 1st
High disruption day
🏥 Sick Leaves:
8 crew members
• FO Pavlaković, FO Šoštarić, SE Čeko
• SE Soldo (unfit), FO Vrdoljak, etc.
• SE Soldo (unfit), FO Vrdoljak, etc.
🌨️ LVO Impact:
3 FOs affected
• FO Đurinović, Kašuba, Bašić
• Jan 2 duty planning disrupted
• Jan 2 duty planning disrupted
⚡ Cascade Effects:
High
• SE Soldo → SE Kovačić reassignment
• Multiple flight disruptions
• Multiple flight disruptions
📅 January 2nd
Continued disruption
🏥 Sick Leaves:
6 crew members
• FO Pavlaković (consecutive day)
• CC Jakšić, SE Leiner, etc.
• CC Jakšić, SE Leiner, etc.
🔄 Proactive Swaps:
4 requests
• CP Šitum/Grgec swap approved
• FO Mrnjavac/Šoštarić exchange
• FO Mrnjavac/Šoštarić exchange
⚙️ Officer Workload:
Manageable
• Crew Control: Tunjić
• Reduced cascade impact
• Reduced cascade impact
📈 Key Insights:
• 25% reduction in sick leaves (Jan 2 vs Jan 1)
• FO Pavlaković: Consecutive 2-day pattern detected
• LVO weather: Forward-planning disruption minimized
• Cost impact: ~€3.2K in replacement costs (2 days)
🔮
AI Predictive Analytics & Recommendations
Machine learning-powered crew optimization suggestions
94.2% Accuracy
⚠️
High Risk Prediction
FO Pavlaković: 78% likelihood of Jan 3 sick leave continuation
Based on: 2-day consecutive pattern, historical data, January seasonal trends
🎯 Recommend: Preemptive replacement scheduling
🌨️
Weather Impact Forecast
Next 3 days: 65% chance of continued LVO conditions affecting duty rotations
Based on: Meteorological data, historical LVO patterns, crew scheduling impact
📋 Recommend: Buffer crew allocation (+2 FOs)
💡
Optimization Opportunity
Crew Swap Synergy: CP Šitum & FO Mrnjavac patterns suggest optimal pairing efficiency
Based on: Request patterns, route compatibility, FRMS scores, cost optimization
⚙️ Recommend: Auto-approve future swap requests
🎯
Immediate Action Items
1
Contact FO Pavlaković for Jan 3-4 availability confirmation
2
Prepare standby crew for OU414/415 route contingency
3
Update FRMS profiles for high-workload crew members
4
Implement proactive crew swap approval workflow
Sick Leave Prediction vs Actual
Real-time Metrics
98.2%
EASA FTL Compliance
✅ Auto-monitored
8.4s
Avg Replacement Time
🤖 AI-powered
€156K
Monthly Savings
📈 vs manual process
✈️
Live Flight Operations
Real-time flight status and crew assignments
17 On-Time
3 Delayed
1 Disrupted
| Flight | Route | Aircraft | Status | Flight Crew | Cabin Crew | Issues |
|---|---|---|---|---|---|---|
| OU414 | ZAG → SPU 09:15 → 10:30 |
A319 9A-CTH |
DISRUPTED | CP Šitum FO ⚠️ Replacement needed |
SE Soldo (Unfit) SE Kovačić (Reassigned) |
Crew shortage 🤖 Auto-fixing |
| OU415 | SPU → ZAG 14:30 → 15:45 |
A319 9A-CTH |
DELAYED +15 | CP Šitum FO Mrnjavac |
SE Kovačić FA Tokić |
Weather delay LVO impact |
| OU502 | ZAG → DBV 16:15 → 17:25 |
A220 9A-CAC |
ON-TIME | CP Grgec FO Ribić |
SE Petranović FA Hadžajlić |
✅ Normal ops |
| OU328 | ZAG → FRA 09:45 → 11:30 |
A320 9A-CTJ |
ON-TIME | CP Bakšić FO Kuzmanović ⚠️ High fatigue |
SE Tolja FA Vergaš |
FRMS monitor Score: 8.1 |
Recent Activity
View AllFO Pavlaković reported sick leave
2 hours ago • Replaced by FO Mrnjavac
CP Šitum requested schedule swap
4 hours ago • With CP Grgec for 02/03JAN
SE Soldo marked unfit to fly
6 hours ago • Flight OU414/5 affected
Flight-Level Operations Details
Comprehensive view of crew assignments, issues, and operational details per flight
OU414
ZAG → SPU
A319 • 9A-CTH • 09:15 → 10:30
DISRUPTED
HIGH PRIORITY
👨✈️ Flight Crew
CP Šitum
Captain • ID: 1247
ACTIVE
FO [REPLACEMENT NEEDED]
Original: FO Pavlaković (sick)
URGENT
👥 Cabin Crew
SE Soldo
Senior Crew • UNFIT TO FLY
BLOCKED
SE Kovačić
Reassigned replacement
STANDBY
⚠️ Issues & Actions
CREW SHORTAGE
SE Soldo unfit → Cascading crew changes
FO REPLACEMENT
FO Pavlaković sick leave
🤖 AUTO-FIXING
AI system processing replacements
📋 Action Timeline
06:30 - SE Soldo marked unfit
07:15 - SE Kovačić assigned
08:00 - FO replacement in progress
OU415
SPU → ZAG
A319 • 9A-CTH • 14:30 → 15:45
DELAYED +15
WEATHER
👨✈️ Flight Crew
CP Šitum
Captain • Duty time: 6h 15m
ACTIVE
FO Mrnjavac
First Officer • Replacement for FO Pavlaković
ACTIVE
👥 Cabin Crew
SE Kovačić
Senior Crew • Back-to-back duties
MONITOR
FA Tokić
Flight Attendant
ACTIVE
⚠️ Issues & Actions
LVO WEATHER
15min delay due to low visibility ops
CREW FATIGUE
SE Kovačić double duty monitoring
RESOLVED
FO replacement confirmed
📋 Action Timeline
13:00 - FO Mrnjavac confirmed
13:45 - Weather delay reported
14:15 - Updated departure time
OU502
ZAG → DBV
A220 • 9A-CAC • 16:15 → 17:25
ON-TIME
NORMAL OPS
👨✈️ Flight Crew
CP Grgec
Captain • A220 Type Rating
ACTIVE
FO Ribić
First Officer • Recent A220 checkout
ACTIVE
👥 Cabin Crew
SE Petranović
Senior Crew • A220 qualified
ACTIVE
FA Hadžajlić
Flight Attendant • DBV route specialist
ACTIVE
✅ Status & Performance
ALL SYSTEMS NORMAL
No crew or operational issues
ON-TIME PERFORMANCE
ETD: 16:15 • ETA: 17:25
CREW EFFICIENCY
100% optimal crew pairing
📋 Operational Timeline
15:00 - Crew briefing completed
15:45 - Aircraft ready
16:15 - On-time departure
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Files Processed Today
14
Average Processing Time
2.3s
Extraction Accuracy
99.2%
Pending Review
3
AI-Powered Crew Management
Smart crew optimization, real-time availability, and predictive scheduling
⚙️
Smart Crew Optimizer
AI-powered scheduling recommendations
🎯 EFFICIENCY GAIN
+12.4%
Crew utilization improvement
💡 RECOMMENDATIONS
7
Schedule optimizations ready
💰 COST SAVINGS
€4.2K
Weekly optimization potential
⚠️ FATIGUE ALERTS
3
High-risk crew members
Advanced Crew Analytics & Insights
Deep analytics by crew type, routes, aircraft, and operational patterns
Overall Crew Utilization
84.7%
↓ Holiday impact
🤖 AI: Optimization possible +3.2%
Fleet FRMS Score
7.2
↑ 8 high-risk crew
💤 Flight: 7.8 | Cabin: 6.9
Cost per Flight Hour
€98
↓ €26 AI optimization
💰 Flight: €156 | Cabin: €67
Route Performance
92.1%
↑ On-time reliability
✈️ Domestic: 94.2% | Intl: 89.8%
AI Model Performance Trends
🧠 Machine Learning & Predictive Analytics
94.2%
91.8%
96.8%
87.3%
89.1%
Compliance Management
Monitor regulatory compliance and track violations
99.1%
Overall Compliance Score
Last audit: 15 Dec 2023
EASA FTL Compliance
99.8%
Training Currency
96.2%
Medical Certificates
98.5%
Rest Requirements
100%
AI-Powered Reports Center
Intelligent reporting with predictive insights and automated compliance tracking
📈
AI Report Insights
Key findings from today's operations
⚠️ CRITICAL FINDING
5x sick leave spike on Jan 1st
84% above normal holiday pattern
💰 COST EFFICIENCY
€156K monthly savings with AI
32% improvement vs manual process
🌨️ WEATHER CORRELATION
LVO conditions = 3 crew changes
Predictive model 94.2% accurate
📊
Daily Operations
Crew control log report
📈
Monthly Summary
Compliance & performance
✈️
EASA Submission
Regulatory filing report
🔧
Custom Report
Build your own template
Recent Reports
Crew_Control_Log_01012024.pdf
Generated today at 08:15 • 2.4 MB
December_Compliance_2023.xlsx
Generated 31 Dec at 14:00 • 1.8 MB
AI Insights & Predictions
Machine learning powered crew management insights and predictive analytics
🧠
Sick Leave Predictor
ML Model v2.3.1
Tomorrow:5 crew (High Risk)
Next 7 days:12 crew
Accuracy:94.2%
📊 Based on: Weather, holidays, historical patterns, crew wellness data
🌤️
Weather Impact AI
Real-time correlation
LVO Risk:06:00-10:00
Crew Impact:3 FOs affected
Auto-prep:✅ Ready
🎯 Recommendations: Pre-position replacement crew, adjust duty times
💰
Cost Optimizer
Smart DHC & Hotels
Today's savings:€2,840
Monthly:€156K
Efficiency:+32%
⚡ Auto-optimization: Crew positioning, hotel bookings, DHC routing
⚠️ Critical AI Alerts
FO Pavlaković - High Fatigue Risk
FRMS Score: 8.7/10 | Next duty: OU415 14:30
HIGH
💡 Recommendation: Assign FO Mrnjavac as replacement
EASA FTL Violation Risk
SE Kovačić approaching 60h weekly limit
MED
💡 Recommendation: Schedule rest day before Thursday duties
Model Accuracy
94.2%
↑ 2.1% this month
Auto-Replacements
156
87% success rate
Processing Time
8.4s
↓ 45% improvement
Cost Reduction
32%
vs manual process
Fatigue Risk Management System
Biomathematical models and real-time crew alertness monitoring
💤
7.2
Fleet Average Fatigue Score
Based on ICAO FRMS standards • Updated every 15 minutes
● Low Risk (0-4): 234 crew
● Medium Risk (5-7): 77 crew
● High Risk (8-10): 8 crew
High-Risk Crew Members
⚠️ Immediate attention required
| Name | Score | Next Duty | Action |
|---|---|---|---|
| FO Pavlaković | 8.7 | OU415 14:30 | |
| SE Kovačić | 8.3 | OU502 16:15 | |
| FO Kuzmanović | 8.1 | OU328 09:45 |
FRMS Performance
96.8%
Safety Performance
✅ Above ICAO standards
15min
Update Frequency
🔄 Real-time monitoring
23
Violations Prevented
📊 This month
Sleep Debt Average
2.3h
↑ Holiday impact
Circadian Disruption
18
Crew affected
Rest Period Compliance
99.2%
✅ EASA compliant
Predicted Incidents
0
🛡️ Risk mitigated
Smart Disruption Management
AI-powered crew replacement and real-time operational recovery
⚡ Active Disruptions
3 ACTIVE
SE Soldo - Unfit to Fly
Flight: OU414/5 | Impact: SE Kovačić reassignment needed
🤖 AI Recommendation: SE Petranović available, +0.5h positioning time
Cost Impact: €340
Resolution Time: 8.4s
LVO Weather Impact
Affected: FO Đurinović, FO Kašuba, FO Bašić
🤖 AI Recommendation: Duty time adjustments prepared for 02JAN
Cost Impact: €1,250
Weather Clear: 10:00
Auto-Replacement Engine
🟢 Online • Processing: 8.4s avg
Available Replacements
Ready for immediate deployment
47
crew members
EASA FTL Compliance
Auto-verified replacements
100%
compliant
Success Rate
Last 30 days performance
94.7%
156/165 cases
Cost Optimization
💰 Smart DHC & Hotel Management
€156K
Monthly Savings vs Manual Process
-32%
DHC Costs
-28%
Hotel Costs
-45%
Processing Time
Resolution Time
8.4s
↓ 78% vs manual
Auto-Replacements
156
This month
Cascade Prevention
89%
Avoided downstream issues
Cost Savings
€8.4K
Today's optimizations
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