Large neighbourhood search and simulation for disruption management in the airline industry

Daniel Guimarans; Pol Arias; Miguel Mujica Mota

doi:10.1007/978-3-319-15033-8_6

Large neighbourhood search and simulation for disruption management in the airline industry

Daniel Guimarans
, Pol Arias
, Miguel Mujica Mota

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional

Abstract

The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines.

Original language	English
Title of host publication	Applied Simulation and Optimization
Subtitle of host publication	in logistics, industrial and aeronautical practice
Editors	Miguel Mujica Mota, Idalia Flores de la Mota, Daniel Guimarans Serrano
Place of Publication	Cham
Publisher	Springer
Pages	169-201
ISBN (Electronic)	9783319150338
ISBN (Print)	9783319150321
DOIs	https://doi.org/10.1007/978-3-319-15033-8_6
Publication status	Published - 2015

Access to Document

10.1007/978-3-319-15033-8_6

Handle.net

Persistent link

Cite this

Guimarans, D., Arias, P., & Mujica Mota, M. (2015). Large neighbourhood search and simulation for disruption management in the airline industry. In M. Mujica Mota, I. Flores de la Mota, & D. Guimarans Serrano (Eds.), Applied Simulation and Optimization: in logistics, industrial and aeronautical practice (pp. 169-201). Springer. https://doi.org/10.1007/978-3-319-15033-8_6

@inbook{7750ecb923e849948717e6d31c9a31fd,

title = "Large neighbourhood search and simulation for disruption management in the airline industry",

abstract = "The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines.",

author = "Daniel Guimarans and Pol Arias and \{Mujica Mota\}, Miguel",

year = "2015",

doi = "10.1007/978-3-319-15033-8\_6",

language = "English",

isbn = "9783319150321",

pages = "169--201",

editor = "\{Mujica Mota\}, Miguel and \{Flores de la Mota\}, Idalia and \{Guimarans Serrano\}, Daniel",

booktitle = "Applied Simulation and Optimization",

publisher = "Springer",

}

Large neighbourhood search and simulation for disruption management in the airline industry. / Guimarans, Daniel; Arias, Pol; Mujica Mota, Miguel.
Applied Simulation and Optimization: in logistics, industrial and aeronautical practice . ed. / Miguel Mujica Mota; Idalia Flores de la Mota; Daniel Guimarans Serrano. Cham: Springer, 2015. p. 169-201.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional

TY - CHAP

T1 - Large neighbourhood search and simulation for disruption management in the airline industry

AU - Guimarans, Daniel

AU - Arias, Pol

AU - Mujica Mota, Miguel

PY - 2015

Y1 - 2015

N2 - The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines.

AB - The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines.

U2 - 10.1007/978-3-319-15033-8_6

DO - 10.1007/978-3-319-15033-8_6

M3 - Chapter

SN - 9783319150321

SP - 169

EP - 201

BT - Applied Simulation and Optimization

A2 - Mujica Mota, Miguel

A2 - Flores de la Mota, Idalia

A2 - Guimarans Serrano, Daniel

PB - Springer

CY - Cham

ER -

Large neighbourhood search and simulation for disruption management in the airline industry

Abstract

Access to Document

Handle.net

Fingerprint

Cite this