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Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs

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Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs. / Zografos, Konstantinos G.; Madas, Michael A.; Androutsopoulos, Konstantinos N.
In: Journal of Scheduling, Vol. 20, No. 1, 02.2017, p. 3-24.

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Zografos KG, Madas MA, Androutsopoulos KN. Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs. Journal of Scheduling. 2017 Feb;20(1):3-24. Epub 2016 Sept 22. doi: 10.1007/s10951-016-0496-7

Author

Zografos, Konstantinos G. ; Madas, Michael A. ; Androutsopoulos, Konstantinos N. / Increasing airport capacity utilisation through optimum slot scheduling : review of current developments and identification of future needs. In: Journal of Scheduling. 2017 ; Vol. 20, No. 1. pp. 3-24.

Bibtex

@article{68388bf425e84ff2a135815ad6c3e7b3,
title = "Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs",
abstract = "Most of the busiest airports worldwide experience serious congestion and delay problems which call for some immediate capacity and demand management action. Solutions aiming to manage congestion through better slot scheduling have lately received a great deal of consideration due to their potential for delivering quick and substantial capacity utilisation improvements. A slot scheduling approach brings promises to cope better with congestion problems in the short to medium run and in a more sustainable way based on existing resources. This paper aims to provide a critical review of current research in declared capacity modelling and strategic slot scheduling. Furthermore, it goes beyond the critical review of current research developments by identifying future research issues and gaps and developing concrete directions towards modelling and solving advanced single airport and network-based slot scheduling problems. Our research findings suggest that the next generation of slot scheduling models should explore variations of currently used objectives (e.g., alternative expressions of schedule delay) and most importantly enrich them with fairness and equity, resource utilisation and environmental considerations. Future modelling efforts should also aim to further investigate airlines{\textquoteright} utility of alternative slot allocation outcomes, including various acceptability measures and levels of tolerance against schedule displacements. Last but not least, future research should intensively focus on the development and validation of computationally viable and robust slot scheduling models being able to capture the complexity, dynamic nature and weather-induced uncertainty of airport operations, along with hybrid solution approaches being able to deal with the size and complexity of slot allocation at network level.",
keywords = "Airport slot allocation, Airport demand management, Resource-constrained scheduling, Resource allocation, Capacity planning",
author = "Zografos, {Konstantinos G.} and Madas, {Michael A.} and Androutsopoulos, {Konstantinos N.}",
year = "2017",
month = feb,
doi = "10.1007/s10951-016-0496-7",
language = "English",
volume = "20",
pages = "3--24",
journal = "Journal of Scheduling",
issn = "1094-6136",
publisher = "Springer New York",
number = "1",

}

RIS

TY - JOUR

T1 - Increasing airport capacity utilisation through optimum slot scheduling

T2 - review of current developments and identification of future needs

AU - Zografos, Konstantinos G.

AU - Madas, Michael A.

AU - Androutsopoulos, Konstantinos N.

PY - 2017/2

Y1 - 2017/2

N2 - Most of the busiest airports worldwide experience serious congestion and delay problems which call for some immediate capacity and demand management action. Solutions aiming to manage congestion through better slot scheduling have lately received a great deal of consideration due to their potential for delivering quick and substantial capacity utilisation improvements. A slot scheduling approach brings promises to cope better with congestion problems in the short to medium run and in a more sustainable way based on existing resources. This paper aims to provide a critical review of current research in declared capacity modelling and strategic slot scheduling. Furthermore, it goes beyond the critical review of current research developments by identifying future research issues and gaps and developing concrete directions towards modelling and solving advanced single airport and network-based slot scheduling problems. Our research findings suggest that the next generation of slot scheduling models should explore variations of currently used objectives (e.g., alternative expressions of schedule delay) and most importantly enrich them with fairness and equity, resource utilisation and environmental considerations. Future modelling efforts should also aim to further investigate airlines’ utility of alternative slot allocation outcomes, including various acceptability measures and levels of tolerance against schedule displacements. Last but not least, future research should intensively focus on the development and validation of computationally viable and robust slot scheduling models being able to capture the complexity, dynamic nature and weather-induced uncertainty of airport operations, along with hybrid solution approaches being able to deal with the size and complexity of slot allocation at network level.

AB - Most of the busiest airports worldwide experience serious congestion and delay problems which call for some immediate capacity and demand management action. Solutions aiming to manage congestion through better slot scheduling have lately received a great deal of consideration due to their potential for delivering quick and substantial capacity utilisation improvements. A slot scheduling approach brings promises to cope better with congestion problems in the short to medium run and in a more sustainable way based on existing resources. This paper aims to provide a critical review of current research in declared capacity modelling and strategic slot scheduling. Furthermore, it goes beyond the critical review of current research developments by identifying future research issues and gaps and developing concrete directions towards modelling and solving advanced single airport and network-based slot scheduling problems. Our research findings suggest that the next generation of slot scheduling models should explore variations of currently used objectives (e.g., alternative expressions of schedule delay) and most importantly enrich them with fairness and equity, resource utilisation and environmental considerations. Future modelling efforts should also aim to further investigate airlines’ utility of alternative slot allocation outcomes, including various acceptability measures and levels of tolerance against schedule displacements. Last but not least, future research should intensively focus on the development and validation of computationally viable and robust slot scheduling models being able to capture the complexity, dynamic nature and weather-induced uncertainty of airport operations, along with hybrid solution approaches being able to deal with the size and complexity of slot allocation at network level.

KW - Airport slot allocation

KW - Airport demand management

KW - Resource-constrained scheduling

KW - Resource allocation

KW - Capacity planning

U2 - 10.1007/s10951-016-0496-7

DO - 10.1007/s10951-016-0496-7

M3 - Journal article

VL - 20

SP - 3

EP - 24

JO - Journal of Scheduling

JF - Journal of Scheduling

SN - 1094-6136

IS - 1

ER -