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100   $a20140619d2014      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 12$aA New Approach for Disruption Management in Airline Operations Control /$fby António J. M. Castro, Ana Paula Rocha, Eugénio Oliveira
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (XXIV, 244 p. 39 illus., 7 illus. in color.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v562
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-662-43372-9 
327   $aBackground Information -- A New Approach for Disruption Management -- Conclusions -- Appendixes.
330   $aMost of the research efforts dealing with airline scheduling have been done on off-line plan optimization.  However, nowadays, with the increasingly complex and huge traffic at airports, the real challenge is how to react to unexpected events that may cause plan-disruptions, leading to flight delays. Moreover these disruptive events usually affect at least three different dimensions of the situation: the aircraft assigned to the flight, the crew assignment and, often forgotten, the passengers? journey and satisfaction. This book includes answers to this challenge and proposes the use of the Multi-agent System paradigm to rapidly compose a multi-faceted solution to the disruptive event taking into consideration possible preferences of those three key aspects of the problem. Negotiation protocols taking place between agents that are experts in solving the different problem dimensions, combination of different utility functions and, not less important, the inclusion of the human in the automatic decision-making loop make MASDIMA, the system described in this book, well suited for real-life plan-disruption management applications.
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v562
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aEngineering economics
606   $aEngineering economy
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aEngineering economics.
615  0$aEngineering economy.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aEngineering Economics, Organization, Logistics, Marketing.
676   $a006.3
700   $aCastro$b António J. M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0973648
702   $aRocha$b Ana Paula$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aOliveira$b Eugénio$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299739503321
996   $aA New Approach for Disruption Management in Airline Operations Control$92215544
997   $aUNINA