000 | 03169nam a22005295i 4500 | ||
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001 | 978-3-662-43373-7 | ||
003 | DE-He213 | ||
005 | 20200421111202.0 | ||
007 | cr nn 008mamaa | ||
008 | 140619s2014 gw | s |||| 0|eng d | ||
020 |
_a9783662433737 _9978-3-662-43373-7 |
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024 | 7 |
_a10.1007/978-3-662-43373-7 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aCastro, Ant�onio J. M. _eauthor. |
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245 | 1 | 2 |
_aA New Approach for Disruption Management in Airline Operations Control _h[electronic resource] / _cby Ant�onio J. M. Castro, Ana Paula Rocha, Eug�enio Oliveira. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014. |
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300 |
_aXXIV, 244 p. 39 illus., 7 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v562 |
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505 | 0 | _aBackground Information -- A New Approach for Disruption Management -- Conclusions -- Appendixes. | |
520 | _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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aEngineering economics. | |
650 | 0 | _aEngineering economy. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aEngineering Economics, Organization, Logistics, Marketing. |
700 | 1 |
_aRocha, Ana Paula. _eauthor. |
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700 | 1 |
_aOliveira, Eug�enio. _eauthor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783662433720 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v562 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-662-43373-7 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c53876 _d53876 |