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A New Approach for Disruption Management in Airline Operations Control

  • António J. M. Castro
  • Ana Paula Rocha
  • Eugénio Oliveira

Part of the Studies in Computational Intelligence book series (SCI, volume 562)

Table of contents

  1. Front Matter
    Pages 1-22
  2. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
    Pages 1-12
  3. Background Information

    1. Front Matter
      Pages 13-13
    2. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 15-27
    3. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 29-62
    4. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 63-81
  4. A New Approach for Disruption Management

    1. Front Matter
      Pages 83-83
    2. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 85-122
    3. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 123-160
    4. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 161-194
  5. Conclusions

    1. Front Matter
      Pages 195-195
    2. António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
      Pages 197-204
  6. Back Matter
    Pages 205-240

About this book

Introduction

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

Keywords

Airline Operations Computational Intelligence Disruption Management Multi-Agent Systems and Intelligent Agents Operations Recovery

Authors and affiliations

  • António J. M. Castro
    • 1
  • Ana Paula Rocha
    • 2
  • Eugénio Oliveira
    • 3
  1. 1.LIACCUniversity of PortoPortoPortugal
  2. 2.LIACC, DEI, FEUPUniversity of PortoPortoPortugal
  3. 3.LIACC, DEI, FEUPUniversity of PortoPortoPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-43373-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-43372-0
  • Online ISBN 978-3-662-43373-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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