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Engineering - Computational Intelligence and Complexity | A New Approach for Disruption Management in Airline Operations Control

A New Approach for Disruption Management in Airline Operations Control

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

2014, XXIV, 244 p. 39 illus., 7 illus. in color.

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  • 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

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

Content Level » Research

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

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Production & Process Engineering

Table of contents 

Background Information.- A New Approach for Disruption Management.- Conclusions.- Appendixes.

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