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Authors: Antonio Castro and Eugenio Oliveira

Affiliation: LIACC-NIAD&R, Faculty of Engineering, University of Porto, Portugal

ISBN: 978-972-8865-89-4

Keyword(s): Distributed Multi-Agent Systems, Airline Operations Control, Operations Recovery, Disruption Management.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Intelligent Agents ; Intelligent Social Agents and Distributed Artificial Intelligence Applications ; Internet Technology ; Web Information Systems and Technologies

Abstract: An airline schedule very rarely operates as planned. Problems related with aircrafts, crew members and passengers are common and the actions towards the solution of these problems are usually known as operations recovery or disruption management. The Airline Operations Control Center (AOCC) tries to solve these problems with the minimum impact in the airline schedule, with the minimum cost and, at the same time, satisfying all the required safety rules. Usually, each problem is treated separately and some tools have been proposed to help in the decision making process of the airline coordinators. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) that represents the several roles that exist in an AOCC. This MAS deals with several operational bases and for each type of operation problems it has several specialized software agents that implements heuristic solutions and other solutions based in operations research mathematic models and artificial intel ligence algorithms. These specialized agents compete to find the best solution for each problem. We present a real case study taken from an AOCC where a crew recovery problem is solved using the MAS. Computational results using a real airline schedule are presented, including a comparison with a solution for the same problem found by the human operators in the Airline Operations Control Center. We show that, even in simple problems and when comparing with solutions found by human operators in the case of this airline company, it is possible to find valid solutions, in less time and with a smaller cost. (More)

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Paper citation in several formats:
Castro A.; Oliveira E. and (2007). A DISTRIBUTED MULTI-AGENT SYSTEM TO SOLVE AIRLINE OPERATIONS PROBLEMS.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 22-30. DOI: 10.5220/0002404100220030

@conference{iceis07,
author={Antonio Castro and Eugenio Oliveira},
title={A DISTRIBUTED MULTI-AGENT SYSTEM TO SOLVE AIRLINE OPERATIONS PROBLEMS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={22-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002404100220030},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A DISTRIBUTED MULTI-AGENT SYSTEM TO SOLVE AIRLINE OPERATIONS PROBLEMS
SN - 978-972-8865-89-4
AU - Castro, A.
AU - Oliveira, E.
PY - 2007
SP - 22
EP - 30
DO - 10.5220/0002404100220030

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