Adaptive Mechanisms in an Airline Ticket Demand Forecasting System.

Riedel, S. and Gabrys, B., 2003. Adaptive Mechanisms in an Airline Ticket Demand Forecasting System. In: EUNITE'2003 Conference: European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, 10 - 12 July 2003, Oulu, Finland.

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Abstract

Adaptivity is a very important feature for industrial forecast systems. In the airline industry, a reliable forecasting of a demand for tickets at different fare levels forms a crucial step in a global optimization process, the objective of which is to sell a restricted number of available seats in a plane with a maximized revenue. Due to continuously changing demand caused by seasonality, special events like holidays or fairs, changes in the flight schedules or changes of the political or cultural situation of a country, there is a need for robust, adaptive forecasting techniques able to cope with such changes. In this paper an overview of various adaptive mechanisms used in the new forecasting system of the Lufthansa Airline is presented.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Adaptive Forecasting, Airline, Revenue Management, Exponential Smoothing
Subjects:Generalities > Computer Science and Informatics > Artificial Intelligence
Generalities > Computer Science and Informatics
Group:School of Design, Engineering & Computing > Smart Technology Research Centre
ID Code:8533
Deposited By:INVALID USER
Deposited On:20 Dec 2008 18:49
Last Modified:07 Mar 2013 15:02

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