Please use this identifier to cite or link to this item:
Author(s): António J. M. Castro
Eugénio Oliveira
Title: Quantifying quality operational costs in a multi-agent system for airline operations recovery
Issue Date: 2009
Abstract: 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.
Subject: Tecnologia do transporte aéreo, Tecnologia de software
Air transport technology, Software technology
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
56844.pdf382.94 kBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons