Quantifying quality operational costs in a multi-agent system for airline operations recovery

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

António J. M. Castro (Autor) FEUP; Eugénio Oliveira (Autor) FEUP

Revista

Título: International Review on Computers and Software

Vol. 4 Nº 4

Páginas: 504-516

ISSN: 1828-6003

Editora: Praise Worthy Prize

Indexação

ISI Web of Knowledge

Scopus - 5 Citações

COMPENDEX

Classificação Científica

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores > Tecnologia de software ; Ciências Tecnológicas > Tecnologia > Tecnologia dos transportes > Tecnologia do transporte aéreo

Outras Informações

ID Authenticus: P-007-T59

Abstract (EN): When recovering from operational problems, the Airline Operations Control Centre (AOCC) usually tries to minimize direct operational costs while satisfying all the required rules. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing real-life roles in an AOCC. This MAS includes software agents that cooperate through a distributed problem solving approach, to find the best solution for each problem. We propose a general approach to quantify quality operational costs, so that passengers' satisfaction can also be considered in the final decision. We present a real case study to introduce our approach to quantify the quality operational costs and solve several real unexpected crew problems. We show that our MAS with quality costs is able to reduce flight delays and increase passenger satisfaction without increasing significantly the direct operational costs. A comparison with two other methods is presented. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13