Overview
- Presents a new concept for disruption management, based on intelligent agents taking into account aircraft, crew and passengers
- Comprehensive description of current Airline Operations Control Centers incl. organization, tools, problems, methods and costs
- Uses real data from an European Airline, which is very difficult to find and will be of interest for both professionals and researchers
Part of the book series: Studies in Computational Intelligence (SCI, volume 562)
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Table of contents (8 chapters)
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Front Matter
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Background Information
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Front Matter
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A New Approach for Disruption Management
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Front Matter
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Conclusions
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Front Matter
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Back Matter
Keywords
About this book
Most of the research efforts dealing with airline scheduling have been done on off-line plan optimization. However, nowadays, with the increasingly complex and huge traffic at airports, the real challenge is how to react to unexpected events that may cause plan-disruptions, leading to flight delays.
Moreover these disruptive events usually affect at least three different dimensions of the situation: the aircraft assigned to the flight, the crew assignment and often forgotten, the passengers’ journey and satisfaction.
This book includes answers to this challenge and proposes the use of the Multi-agent System paradigm to rapidly compose a multi-faceted solution to the disruptive event taking into consideration possible preferences of those three key aspects of the problem.
Negotiation protocols taking place between agents that are experts in solving the different problem dimensions, combination of different utility functions and not less important, the inclusion of the human in the automatic decision-making loop make MASDIMA, the system described in this book, well suited for real-life plan-disruption management applications.Authors and Affiliations
Bibliographic Information
Book Title: A New Approach for Disruption Management in Airline Operations Control
Authors: António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-43373-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-662-43372-0Published: 07 July 2014
Softcover ISBN: 978-3-662-52035-2Published: 17 September 2016
eBook ISBN: 978-3-662-43373-7Published: 19 June 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXIV, 244
Number of Illustrations: 32 b/w illustrations, 7 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Engineering Economics, Organization, Logistics, Marketing