Abstract (EN):
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.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
12
License type: