Minimizing airport peaks problem by improving airline operations performance th...

• Author(s): António J. M. Castro ; Eugénio Oliveira
• Date: 2009
• Persistent ID: http://hdl.handle.net/10216/15949
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências Físicas; Ciência de computadores; Cibernética; Inteligência artificial, Ciências tecnológicas; Tecnologia; Tecnologia do conhecimento
• Document Type: Conference Object
• Language: Portuguese

Description

Airports are important infra-structures for the air transportation business. One of the major operational constraints is the peak of passengers in specific periods of time. Airline companies take into consideration the airport capacity when building the airline schedule and, because of that, the execution of the airline operational plan can contribute to improve or avoid airport peak problems. The Airline Operations Control Center (AOCC) tries to solve unexpected problems that might occur during the airline operation. Problems related to aircrafts, crewmembers and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. In this paper we propose a way of measuring the AOCC performance that takes into consideration the relation that exists between airline schedule and airport peaks. The implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC, is presented. We show that the MAS contributes to minimize airport peaks without increasing the operational costs of the airlines.