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Crew and aircraft recovery through a multi-agent airline electronic market

Authors: Andreia Malucelli; António Jesus Monteiro de Castro; Eugénio da Costa Oliveira;

Crew and aircraft recovery through a multi-agent airline electronic market

Abstract

Airline companies do not collaborate when dealing with problems that arise during their own operational control plan. These problems are related with aircrafts, crew members and passengers and the actions towards the solution of these problems are usually known as operations recovery. In this paper we present a possible solution to the problem of lack of collaboration between different airlines, based on an electronic market. This electronic market is based on a Distributed Multi-Agent System we are developing to help airline companies in solving unexpected operations recovery problems and matching them with potential solutions. The proposed electronic market uses ontology services that we have developed for other domains, allowing an airline company to access resources of other airline companies, such as aircrafts and crew members. The potential solutions obtained through the electronic market interactions will compete with the solutions found by the airline company own system. We present a real case study taken from TAP Air Portugal operational control including the description of how the ontologies services work. We believe that using our system architecture and services for this application domain is a possible and interesting solution but we are also aware of challenges and problems that might arise from using this approach.

Country
Portugal
Related Organizations
Keywords

Engineering and technology::Electrical engineering, Electronic engineering, Information engineering, Engenharia de computadores, Engenharia electrotécnica, electrónica e informática, Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática, Computer engineering, Electrical engineering, Electronic engineering, Information engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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