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Simulation-based analysis of forecast performance evaluations for airline revenue management / Catherine Cleophas. 2009
Content
State of the Art and Research Opportunities
Introduction
Background and Terminology
Motivation and Goals
Outline
Existing Research on Airline Revenue Management
Available Overview Literature
State of the Art of Optimization
Appraisals of Recent Challenges
Demand Forecasting for Revenue Management
Demand Volume
Unconstraining
Demand Behavior
Demand Forecast Performance Measurements
Theoretical Background
Applied Forecast Performance Evaluation
Research Gap and Opportunities
Solution Approach - Concept and Implementation
Simulation for Decomposition and Evaluation of RM Systems
Overall System View
Forecasting Component
Demand Volume Aspect
Unconstraining Aspect
Demand Behavior Aspects
Simulation Environment for Revenue Management
Simulation Control
Data Management
Simulation Runs and Lists of Events
Reporting
Supply and Demand Data
Supply Information
Demand Model
Exemplary Scenario
Revenue Management Components
Forecast
Optimization
Inventory
Market Implementations
Demand Variations
Supply Variations
Experiments and Conclusions
Simulation Based Analysis of Forecast Performance
Observations on Long-Term Effects of Forecast Methods
Consequences of Possible Definitions of Psychic Forecasts
Evaluation of Standard Accuracy Indicators
Definitions and Effects of Uncertainty of Demand
Evaluation Approaches for Price-Sensitive Forecasts
Simulation-Based Findings Recaptured
Conclusion
Summary
Outlook
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