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Airline Schedule and Crew Optimization
Our comprehensive approach to schedule optimization addresses five critical dimensions to enable profitable, resilient punctuality.
Full path: Home, Industries, Aviation, Airline Schedule and Crew Optimization
Aircraft productivity and fleet count
Deployed aircraft productivity, higher block time per aircraft, peak-to-trough capacity profile, and target fleet count.
Turn-time mix and slot constraints
Scheduled turn-time mix, actual vs. scheduled turn success, hot turns, firebreaks, slot constraints, and slot adjustments.
Lines of flying and crew duty limits
Out-and-backs, sectors per line, swap points, lines-of-flying stability, and alignment with crew duty limits.
Block-time performance and seasonality
Block-time success, taxi-in, flight time, taxi-out, and regular seasonal revisions
Weather, maintenance, and ground handling
Weather, maintenance program and delivery, ground handling, air traffic control engagement, and first-flight punctuality
Our approach converts scheduled-vs.-flown diagnostics into schedule design principles, economic trade-offs, and the cross-functional routines needed to sustain results.
What to Expect
An established fact base
Benchmark schedule performance, compare against relevant peers, and identify the key drivers of inefficiency and operating instability
Defined trade-offs
Translate the diagnostic into schedule design principles and evaluate implications for fleet, crew, maintenance, revenue, and reliability
Embedded routines
Align processes, roles, and forums across schedule, maintenance, and crew
Client Result
Client Result
A major APAC value carrier with low on-time performance and high peak-period cancellations engaged us to stabilize operations and rebuild EBIT through schedule optimization. We optimized schedule and crew planning, unlocking ~15% EBIT (~US$35M).
Our work also enabled the airline to achieve:
5%
Fleet-utilisation increase
3 aircraft released; lower aircraft-related costs
2%
Crew-productivity uplift
Reduced drafting; 6% HOTAC reduction
5–7 p.p.
On-time performance uplift
Cancellation rate held at ~1.5%
40%
Lower passenger-reprotection costs
Reduced recovery-cost exposure
10%
Fewer crew / aircraft swaps
Lower operational risk
Fewer
Lines-of-flying changes
Less day-of-operations rework
