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Incorporating the value of slots in airport slot scheduling decisions

Research output: Contribution to conference - Without ISBN/ISSN Other

Published

Standard

Incorporating the value of slots in airport slot scheduling decisions. / Katsigiannis, Fotios A.; Zografos, K. G.
2019. 2nd IMA and OR Society Conference on Mathematics of Operational Research, Birmingham , United Kingdom.

Research output: Contribution to conference - Without ISBN/ISSN Other

Harvard

Katsigiannis, FA & Zografos, KG 2019, 'Incorporating the value of slots in airport slot scheduling decisions', 2nd IMA and OR Society Conference on Mathematics of Operational Research, Birmingham , United Kingdom, 25/04/19 - 26/04/19.

APA

Katsigiannis, F. A., & Zografos, K. G. (2019). Incorporating the value of slots in airport slot scheduling decisions. 2nd IMA and OR Society Conference on Mathematics of Operational Research, Birmingham , United Kingdom.

Vancouver

Katsigiannis FA, Zografos KG. Incorporating the value of slots in airport slot scheduling decisions. 2019. 2nd IMA and OR Society Conference on Mathematics of Operational Research, Birmingham , United Kingdom.

Author

Katsigiannis, Fotios A. ; Zografos, K. G. / Incorporating the value of slots in airport slot scheduling decisions. 2nd IMA and OR Society Conference on Mathematics of Operational Research, Birmingham , United Kingdom.

Bibtex

@conference{032ae2c0357c417897b2eddbb815c7d1,
title = "Incorporating the value of slots in airport slot scheduling decisions",
abstract = "Airport slot allocation is the dominant mechanism for managing capacity at congested airports outside the United States. Current practice is facilitated via expert systems software that apply a complex decision process defined by various criteria, rules and priorities. It is acknowledged that mathematical programming may result in more efficient airport slot schedules. Yet, the incorporation of all the regulations and characteristics of the decision process results in complex mathematical formulations and increased computational times. At the same time, existing models assume that a “slot is a slot” without taking into account the differences in the characteristics and significance of each slot. In this work, through a multi-criteria – multi-stakeholder approach, we introduce a slot valuation index (SVI) that considers the attributes of each airport slot while simultaneously incorporating the preferences of all participating groups of stakeholders. We move beyond the proposal of the SVI by devising a two-stage solution approach that employs the SVI as a relative importance weight in the objective functions of optimisation models. Our approach is able to address additional policy requirements, criteria and slot characteristics while preserving computational tractability.",
author = "Katsigiannis, {Fotios A.} and Zografos, {K. G.}",
year = "2019",
month = apr,
day = "26",
language = "English",
note = "2nd IMA and OR Society Conference on Mathematics of Operational Research : Innovating mathematics for new industrial challenges, 2nd IMA-OR ; Conference date: 25-04-2019 Through 26-04-2019",
url = "https://ima.org.uk/9649/2nd-ima-and-or-society-conference-on-mathematics-of-operational-research/",

}

RIS

TY - CONF

T1 - Incorporating the value of slots in airport slot scheduling decisions

AU - Katsigiannis, Fotios A.

AU - Zografos, K. G.

N1 - Conference code: 2

PY - 2019/4/26

Y1 - 2019/4/26

N2 - Airport slot allocation is the dominant mechanism for managing capacity at congested airports outside the United States. Current practice is facilitated via expert systems software that apply a complex decision process defined by various criteria, rules and priorities. It is acknowledged that mathematical programming may result in more efficient airport slot schedules. Yet, the incorporation of all the regulations and characteristics of the decision process results in complex mathematical formulations and increased computational times. At the same time, existing models assume that a “slot is a slot” without taking into account the differences in the characteristics and significance of each slot. In this work, through a multi-criteria – multi-stakeholder approach, we introduce a slot valuation index (SVI) that considers the attributes of each airport slot while simultaneously incorporating the preferences of all participating groups of stakeholders. We move beyond the proposal of the SVI by devising a two-stage solution approach that employs the SVI as a relative importance weight in the objective functions of optimisation models. Our approach is able to address additional policy requirements, criteria and slot characteristics while preserving computational tractability.

AB - Airport slot allocation is the dominant mechanism for managing capacity at congested airports outside the United States. Current practice is facilitated via expert systems software that apply a complex decision process defined by various criteria, rules and priorities. It is acknowledged that mathematical programming may result in more efficient airport slot schedules. Yet, the incorporation of all the regulations and characteristics of the decision process results in complex mathematical formulations and increased computational times. At the same time, existing models assume that a “slot is a slot” without taking into account the differences in the characteristics and significance of each slot. In this work, through a multi-criteria – multi-stakeholder approach, we introduce a slot valuation index (SVI) that considers the attributes of each airport slot while simultaneously incorporating the preferences of all participating groups of stakeholders. We move beyond the proposal of the SVI by devising a two-stage solution approach that employs the SVI as a relative importance weight in the objective functions of optimisation models. Our approach is able to address additional policy requirements, criteria and slot characteristics while preserving computational tractability.

M3 - Other

T2 - 2nd IMA and OR Society Conference on Mathematics of Operational Research

Y2 - 25 April 2019 through 26 April 2019

ER -