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A stochastic programming model for the aircraft sequencing and scheduling problem considering flight duration uncertainties

Published online by Cambridge University Press:  06 April 2022

R.K. Cecen Open the ORCID record for R.K. Cecen [Opens in a new window]
R.K. Cecen*
Affiliation:
Eskisehir Osmangazi University, Eskisehir, Turkey
*
Email: [email protected]
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Abstract

This study presents a stochastic mixed-integer linear programming model for the aircraft sequencing and scheduling problem. The proposed model aims to minimise the average fuel consumption per aircraft in the Terminal Manoeuvring Area while considering uncertain flight durations for each flight. The tabu search algorithm was selected to solve the problem. The stochastic solution and deterministic solution results were compared to show the benefits of the stochastic solution. The average sample approximation technique was applied to this problem, and enhancement rates of the average fuel consumption per aircraft were 8.78% and 9.11% comparing the deterministic approach

Keywords

Aircraft sequencing and scheduling problemStochastic programmingMixed-integer linear programmingFuel consumptionTabu search algorithm
Type
Research Article
Information
The Aeronautical Journal , Volume 126 , Issue 1304 , October 2022 , pp. 1736 - 1751
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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