Title: Multi-objective collaborative slot secondary allocation model with curfew restriction

Authors: Kejia Chen; Xiaoqing Guo; Haiyan Wang

Addresses: School of Economics and Management, Fuzhou University, China ' School of Economics and Management, Fuzhou University, China ' School of Economics and Management, Fuzhou University, China

Abstract: The paper explores the flight recovery problem of flight delay and violation of airport curfew due to the decline of airport capacity under the collaborative decision making. A multi-objective collaborative slot secondary allocation model is proposed to minimise the total delay cost of airlines and the total delay time of passengers. Three multi-objective decision-making (MODM) techniques are introduced, and the displaced ideal solution (DIS) method is used to select the optimal solution technique. The results show that the weighting method (WM) can generate high-quality solutions in the test data set. Finally, combined with the delayed flight data of an airport, LINGO software is used to solve the model, the sensitivity and the complexity is analysed. The results show that the collaborative scheduling strategy proposed in this paper can provide airlines with scientific and reasonable slot secondary allocation scheme under the condition of limited airport capacity.

Keywords: flight recovery; airport curfew; slot secondary allocation; multi-objective programming.

DOI: 10.1504/IJISE.2024.139596

International Journal of Industrial and Systems Engineering, 2024 Vol.47 No.3, pp.311 - 333

Received: 14 Jun 2022
Accepted: 04 Jul 2022
Published online: 04 Jul 2024 *

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