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Process Flow Diagram (BPMN)

NP-SP-08 BPMN diagram
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L4 Process Steps

StepStep NameRole / Swim LaneSystem InputOutputKPIDec?Exc?
Phase 1
1.1
Scan unserved O&D opportunities Network Planning Analyst Amadeus SkyCAST Historical booking data, MIDT traffic feeds, interline itinerary reports Long list of candidate unserved or underserved city pairs Minimum 20 candidate markets identified per planning cycle N N
1.2 Benchmark competitor schedules on candidates Network Planning Analyst OAG Schedule Analyser Candidate city-pair list from step 1.1 Competitor capacity, frequency, and fare level summary per market Competitive gap identified for ≥60% of shortlisted markets N N
1.3 Screen markets against minimum demand threshold Senior Network Planner AWS Redshift O&D traffic volumes and OAG competitor data Shortlisted markets with ≥150 unserved or recapturable pax/day Demand threshold screening accuracy ≥90% vs. post-launch actuals Y N
Phase 2
2.1
Forecast 12-month O&D demand per market Demand Forecasting Analyst Amadeus SkyCAST Shortlisted markets, seasonality curves, macro-economic indices Monthly O&D demand forecast with P10/P50/P90 confidence bands Forecast MAPE ≤8% at 90-day horizon N N
2.2 Simulate network spill and recapture impact Network Simulation Analyst Amadeus SkySYM Demand forecast, existing schedule SSIM file Incremental revenue estimate, spill/recapture matrix, connecting feed impact Spill recapture rate ≥35% for new route N N
2.3 Model yield and price elasticity Revenue Management Analyst Amadeus Revenue Management (NRM) Demand forecast, competitor fare benchmarks from OAG Projected RASM, average fare, and fare class mix by month Projected RASM ≥ CASM + 15% margin at base-case load factor of 83% Y N
2.4 Produce consolidated revenue forecast report Senior Network Planner Tableau RASM/CASM output from NRM and SkyCAST Revenue forecast dashboard and market scorecard Scorecard completed within 2 business days of demand model sign-off N N
Phase 3
3.1
Optimise fleet assignment for candidate route Fleet Planning Analyst Amadeus SkyMAX Proposed frequency and timing, existing fleet utilisation plan Optimal aircraft gauge and rotation plan for new route Fleet utilisation ≥12.5 block hours/aircraft/day post-addition Y N
3.2 Evaluate frequency and timing trade-offs Network Planning Analyst Amadeus SkyWORKS Fleet assignment output, competitive departure timing benchmarks Recommended departure times and frequency options (1x, 2x, 3x daily) Scheduling conflict rate <5% in SkyWORKS validation N N
3.3 Confirm spare aircraft availability at launch date Fleet Planning Analyst Amadeus SkyWORKS Proposed launch date, fleet delivery schedule, maintenance forecast Aircraft availability confirmation or gap identification Spare cover ratio ≥5% of active fleet on launch date N Y
Phase 4
4.1
Check slot availability at origin and destination Schedule Coordination Analyst IATA CRS (Coordinated Reservation System) Proposed departure times, airport coordination level (L1/L2/L3) Slot availability status, coordination response, or waiver requirement Preferred slot obtained within ±30 min of target for ≥80% of requests N Y
4.2 Validate gate and ground handling feasibility Airport Operations Planner SITA Airport Management System (AMS) Proposed departure and arrival times, station gate inventory Gate assignment feasibility report and required turnaround buffer Gate conflict rate <2% for new route insertion N N
4.3 Assess crew pairing efficiency for new route Crew Planning Analyst Jeppesen Crew Management Proposed schedule, crew base locations, FAR Part 117 duty limits Crew pairing cost estimate and minimum crew headcount requirement Crew cost per block hour for new route ≤ system average + 10% Y N
Phase 5
5.1
Build full-route P&L model Network Finance Business Partner SAP S/4HANA Finance (FI/CO) RASM forecast, CASM drivers, crew cost estimate, airport fees 12-month route P&L with EBIT, ROIC, and contribution margin ROIC ≥12% in base-case scenario at month 12 N N
5.2 Run sensitivity and break-even load factor analysis Network Finance Business Partner Tableau P&L model, P10/P50/P90 demand scenarios from SkyCAST Break-even load factor, downside ROIC, and go/no-go recommendation Break-even load factor ≤75%; downside P10 ROIC ≥6% Y N
Phase 6
6.1
Compile and submit commercial committee pack Director of Network Planning AWS S3 Business case deck, P&L model, ops feasibility sign-off, demand forecast Formal new market entry proposal submitted to Commercial Committee Pack submission ≥10 business days before committee review date Y N
6.2 File approved schedule and slots in SkyWORKS Schedule Coordination Analyst Amadeus SkyWORKS Commercial Committee approval, proposed SSIM schedule record New market schedule inserted into official season file Schedule filed ≥120 days before service start (IATA SSIM standard) N Y
6.3 Publish new route to GDS and NDC channels Distribution Systems Analyst NDC API Gateway Approved SSIM schedule, fare filing from ATPCO New route live in Sabre GDS, Travelport GDS, Amadeus GDS, and NDC channel GDS content live ≥90 days before first departure; NDC content live within 24 hours of GDS N N
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Process Attributes

Identification

Process IDNP-SP-08
L1 DomainNetwork Planning & Scheduling
L2 ProcessSchedule Planning
L3 NameNew Market Entry Feasibility
L4 Steps18 across 6 phases
Decision Gates6 (all with iteration loops)
Exceptions3 documented

Swim Lanes (Roles)

Network Planning Analyst
Senior Network Planner
Demand Forecasting Analyst
Network Simulation Analyst
Revenue Management Analyst
Fleet Planning Analyst
Schedule Coordination Analyst
Airport Operations Planner
Crew Planning Analyst
Network Finance Business Partner
Director of Network Planning
Distribution Systems Analyst

Systems & Tools

Amadeus SkyCASTOAG Schedule AnalyserAWS RedshiftAmadeus SkySYMAmadeus Revenue Management (NRM)TableauAmadeus SkyMAXAmadeus SkyWORKSIATA CRS (Coordinated Reservation System)SITA Airport Management System (AMS)Jeppesen Crew ManagementSAP S/4HANA Finance (FI/CO)AWS S3NDC API Gateway

Key Performance Indicators

Scan unserved O&D opportunitiesMinimum 20 candidate markets identified per planning cycle
Benchmark competitor schedules on candidatesCompetitive gap identified for ≥60% of shortlisted markets
Screen markets against minimum demand thresholdDemand threshold screening accuracy ≥90% vs. post-launch actuals
Forecast 12-month O&D demand per marketForecast MAPE ≤8% at 90-day horizon
Simulate network spill and recapture impactSpill recapture rate ≥35% for new route
Model yield and price elasticityProjected RASM ≥ CASM + 15% margin at base-case load factor of 83%
Produce consolidated revenue forecast reportScorecard completed within 2 business days of demand model sign-off
Optimise fleet assignment for candidate routeFleet utilisation ≥12.5 block hours/aircraft/day post-addition

Airline-Specific Risks & Pain Points

MIDT data excludes LCC-direct bookings, leading to demand underestimation in price-sensitive leisure markets
OAG data lags real-time charter and codeshare capacity additions by up to 3 weeks
Redshift demand cubes are refreshed weekly; intra-week traffic spikes from events or promotions not captured
SkyCAST models calibrated on existing network may not reflect latent demand in markets with no prior service
SkySYM simulations assume fixed itinerary preference weights; actual passenger path choice in new markets is untested
NRM fare elasticity models trained on existing markets; new leisure markets may exhibit steeper price sensitivity than modelled

Inputs / Outputs

Primary InputHistorical booking data, MIDT traffic feeds, interline itinerary reports
Primary OutputNew route live in Sabre GDS, Travelport GDS, Amadeus GDS, and NDC channel
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