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Scheduling and Revenue Management Process Integration: Benefits and Hurdles Timothy L. Jacobs, Elizabeth Hunt and Matt Korol Operations Research and Decision Support American Airlines May 2001
Presentation Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Airline Business Overview Scheduling Product Pricing Yield Management Sales and Distribution Long- Term Short- Term Strategic Tactical Customers
Typical Scheduling and RM Process Flight Scheduling (Leg-based) Revenue Management (O&D-based) Time 12 +  Months 9-6 Months DOD 3 Months 45 Days O&D Demand Forecasts  Revenue Management Process & Controls Capacities / O&D Forecasts Network Scheduling & Planning   Flight Demand Forecasts   Fleeted Schedule (Fixed Capacities) Data Source Data Source Informal Feedback
Proposed Integrated Process Causal Effect Data   Date Specific Data Steady-State  Industry Forecast O&D Daily  Forecast O&D Time Series Forecast  Revenue Management Process & Controls O&D  Network Planning O&D-based Scheduling Near-term Aircraft Assignment (D 3  Process) Flight Scheduling Revenue Management Forecasting  Data Sources Time 12 +  Months 9-6 Months DOD 3 Months 45 Days Forecasts Forecasts Controls/Capacities O&D Forecasts/Capacities Forecast Data and Control Information
[object Object],[object Object],[object Object],[object Object],[object Object],Consistent Scheduling and RM Benefits - O&D Fleet Assignment
Consistent Scheduling and RM Benefits - Theory Integrated  Scheduling & Revenue Management  Process No Revenue Management Revenue Management Only Reference: Jacobs, Ratliff and Smith;1997, 2000
Extension to Consider Pricing Effects  No RM O&D RM O&D RM & Pricing O&D Fleeting and RM O&D Fleeting, RM & Pricing Reference: Jacobs, Ratliff and Smith;1997, 2000
[object Object],[object Object],[object Object],[object Object],O&D Fleeting and RM Benchmark Process - Practice  O&D Forecast Leg FAM O&D FAM O&D Evaluation: Revenue Mix
O&D Fleeting and RM Benchmark ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
O&D Fleeting and RM Benchmark Results
Observations and Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],O&D-based Demand Driven Dispatch (D 3 )
[object Object],[object Object],[object Object],Demand Driven Dispatch (D 3 ) Process RM Model O&D FAM Evaluation: Revenue Mix
Demand Driven Dispatch Benchmark ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
D 3  Benchmark Results - Max Profit Measure* Input Schedule D 3  Solution Incremental  Profit Gain  (% of Revenue) 0.64 Switched Flights Segments Flown  114 RJ3 RJ4 230 * All measures are for a daily schedule 10:31 9:37 Utilization  RJ3 RJ4 336 198 368 10:02 10:14
D 3  Parametric Analysis Results - Swap Limit Swap Limit Daily Profit Increase  (% of Revenue) Cumulative  Percent of Total 25 50 75 100 114 0.25 0.35 0.50 0.60 0.64 39% 56% 78% 94% 100%
A Closer Look - 25 Swap Limit Flight  No. 1 2 3 Profit Change (% of Rev) 0.01 0.02 0.03 Reservation Holds 7 32 33 Incremental Traffic Input  Output 7 4 3 8 9 10 Fleet Input  Output RJ4 RJ3 RJ3 RJ3 RJ4 RJ4 Total Traffic Input  Output 14 36 36 15 41 43
D 3  Benefits and Timing - What the theory tells us.
D 3  Benefits and Timing - The Practice
[object Object],[object Object],[object Object],[object Object],[object Object],D 3  Summary
Benefits and Hurdles to Integration  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Scheduling And Revenue Management Process

  • 1. Scheduling and Revenue Management Process Integration: Benefits and Hurdles Timothy L. Jacobs, Elizabeth Hunt and Matt Korol Operations Research and Decision Support American Airlines May 2001
  • 2.
  • 3. Airline Business Overview Scheduling Product Pricing Yield Management Sales and Distribution Long- Term Short- Term Strategic Tactical Customers
  • 4. Typical Scheduling and RM Process Flight Scheduling (Leg-based) Revenue Management (O&D-based) Time 12 + Months 9-6 Months DOD 3 Months 45 Days O&D Demand Forecasts Revenue Management Process & Controls Capacities / O&D Forecasts Network Scheduling & Planning Flight Demand Forecasts Fleeted Schedule (Fixed Capacities) Data Source Data Source Informal Feedback
  • 5. Proposed Integrated Process Causal Effect Data Date Specific Data Steady-State Industry Forecast O&D Daily Forecast O&D Time Series Forecast Revenue Management Process & Controls O&D Network Planning O&D-based Scheduling Near-term Aircraft Assignment (D 3 Process) Flight Scheduling Revenue Management Forecasting Data Sources Time 12 + Months 9-6 Months DOD 3 Months 45 Days Forecasts Forecasts Controls/Capacities O&D Forecasts/Capacities Forecast Data and Control Information
  • 6.
  • 7. Consistent Scheduling and RM Benefits - Theory Integrated Scheduling & Revenue Management Process No Revenue Management Revenue Management Only Reference: Jacobs, Ratliff and Smith;1997, 2000
  • 8. Extension to Consider Pricing Effects No RM O&D RM O&D RM & Pricing O&D Fleeting and RM O&D Fleeting, RM & Pricing Reference: Jacobs, Ratliff and Smith;1997, 2000
  • 9.
  • 10.
  • 11. O&D Fleeting and RM Benchmark Results
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. D 3 Benchmark Results - Max Profit Measure* Input Schedule D 3 Solution Incremental Profit Gain (% of Revenue) 0.64 Switched Flights Segments Flown 114 RJ3 RJ4 230 * All measures are for a daily schedule 10:31 9:37 Utilization RJ3 RJ4 336 198 368 10:02 10:14
  • 17. D 3 Parametric Analysis Results - Swap Limit Swap Limit Daily Profit Increase (% of Revenue) Cumulative Percent of Total 25 50 75 100 114 0.25 0.35 0.50 0.60 0.64 39% 56% 78% 94% 100%
  • 18. A Closer Look - 25 Swap Limit Flight No. 1 2 3 Profit Change (% of Rev) 0.01 0.02 0.03 Reservation Holds 7 32 33 Incremental Traffic Input Output 7 4 3 8 9 10 Fleet Input Output RJ4 RJ3 RJ3 RJ3 RJ4 RJ4 Total Traffic Input Output 14 36 36 15 41 43
  • 19. D 3 Benefits and Timing - What the theory tells us.
  • 20. D 3 Benefits and Timing - The Practice
  • 21.
  • 22.