AIRPORT RESOURCES ALLOCATION USING A-CDM FOR THE BRAZILIAN ENVIRONMENT

摘要

Lately, the Brazilian civil aviation demand has grown mainly by social inclusion,economic expansion, and low fares. Annually, the capacity demand of airports hasincreased into two digit figures. Faced with the needs of hosting the most importantworld sport events for the next years in Brazil, airport infrastructure enterprises have abig challenge ahead. How to provide an appropriate airport resource allocationmanagement system to improve the process of controlling operational information foroptimizing resources? This article provides an application of an integrated andcollaborative conceptual model involving airports, airline companies, and government.It represents the partial results of a proof of concept performed in the GuarulhosInternational Airport (GRU) by researchers from the Brazilian Aeronautics Institute ofTechnology. This approach is based upon the Airport Collaborative Decision Making(A-CDM) concept from the EUROCONTROL, aiming to improve operationalefficiency, events predictability, and airport resource utilization, and also to reduceflight delays. Initially, a Problem Based Learning methodology was applied within anairport resource optimization and allocation system prototype named SOAR, involvingthe critical mission environment of the GRU Airport Operational Center. One of themain contributions of this research work is the positive impact that this proposed modeladoption might produce in the airport infrastructure enterprises.