1.

Record Nr.

UNINA9910299739503321

Autore

Castro António J. M

Titolo

A New Approach for Disruption Management in Airline Operations Control / / by António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014

ISBN

3-662-43373-7

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XXIV, 244 p. 39 illus., 7 illus. in color.)

Collana

Studies in Computational Intelligence, , 1860-949X ; ; 562

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Engineering economics

Engineering economy

Computational Intelligence

Artificial Intelligence

Engineering Economics, Organization, Logistics, Marketing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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

Sommario/riassunto

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.