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Title: A robust optimisation approach to the aircraft sequencing and scheduling problem with runway configuration planning
Authors: Ng, KKH 
Lee, CKM 
Chan, FTS 
Issue Date: 2018
Source: IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, 10-13 Dec 2017, Singapore, p. 40-44
Abstract: Unanticipated delays cause significant reduction of airport capacity management, decrease in customer satisfaction, and poor on-time performance. Safety in runway configuration planning is a top priority in aviation management, and air traffic control adopts the risk analysis in handing flight schedules under uncertainty. The degree of conservatism in handling airborne delays and airport traffic should be increased, as any accident due to improper runway usage causes dramatic loss, delay propagation and disruption to the airport management and subsequence activities. In this paper, the robust aircraft sequencing and scheduling problem with runway configuration planning using the min-max regret approach is proposed. The adoption of the mid-point scenario heuristic as an initial solution is able to reduce the computational burden in the computational experiment compared to the solution by using lower bound scenario by solving instances of moderate size (10-30 flights) in a two-runways system.
Keywords: Aircraft sequencing and scheduling problem
Min-max regret approach
Robust optimisation
Runway configuration planning
Publisher: IEEE Computer Society
ISBN: 9781538609484
DOI: 10.1109/IEEM.2017.8289847
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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