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Temath, Christian: Performance measurement in airline revenue management : a simulation-based assessment of the network-based revenue opportunity model. 2011
Content
Introduction
Airline Revenue Management
Performance Measurement of Revenue Management
Measuring Performance with the ROM
Model Definition and Terminology
Main Properties of the ROM
Major Developments in Airline Revenue Management Affect the ROM
Consideration of Practical Aspects in the ROM
Scope and Purpose of the Thesis
Airline Revenue Management and Performance Measurement: State-of-the-art
Airline Revenue Management
Optimization Models with Independent Demand
Modeling, Unconstraining and Forecasting Customer Demand
Optimization Models with Dependent Demand
Performance Measurement of Revenue Management
The ROM
Research Opportunities and Goals of the Thesis
A Novel Simulation-based Approach to Investigate ROM Properties
The Simulation Environment
Modeling Customer Demand and Request Generation
Unconstraining and Demand Forecasting
Optimization Models and Seat Inventory Control
Measuring ROM Robustness
Error Measures
Similarity Measures
The Simulation Scenarios
The Base Case
Adjusting the Unconstraining Error
Further Scenarios
Summary
The Network-based ROM with Independent Demand
Model Definition
Main Properties of Network-based ROM with Independent Demand
Computational Results
Comparing Model- vs. Data-related Errors
Analyzing the Effect of Unconstraining Errors
Analyzing the Effect of Further Scenarios
Summary
The Network-based ROM with Dependent Demand
Extensions to the Network-based ROM with Independent Demand
Properties of the Network-based ROM with Dependent Demand
Computational Results
Base Case and Unconstraining Error Scenarios
Analyzing the Effect of Further Scenarios
Analyzing the Effect of Different Sell-up Rates
Summary
Disaggregation of ROM Measures to Single Legs
Relation between Network and Leg Level
Prorating Fares to Single Legs
Mileage
Bid Prices
Model Definition on a Leg Base
Computational Results
No-connecting-traffic Flight Network: Network Level
No-connecting-traffic Flight Network: Leg Level
Realistic Flight Network: Leg Level
Summary
Disaggregation of ROM Measures to Single Components
Extending the Network-based ROM to Overbooking and Upgrading
Potential Revenue with Upgrading
Potential Revenue with Overbooking
Actual Revenue after No-shows and Cancelations
No RM Revenue after No-shows and Cancelations
Measuring Overbooking and Upgrading Success
Incremental Revenue due to Overbooking and Upgrading
ROM with Upgrading
ROM with Overbooking
ROM with Overbooking and Upgrading
Computational Results
Summary
Summary and Concluding Remarks
Detailed Test Results
The Network-based ROM with Independent Demand
The Network-based ROM with Dependent Demand
The Base Case: Sell-up Rate 30%
Sell-up Rate 10%
Sell-up Rate 50%
Disaggregation of ROM Measures to Single Legs
Disaggregation of ROM Measures to Single Components
List of Figures
List of Tables
List of Algorithms
Notations
Acronyms
Bibliography
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