Heuristic algorithms for aircraft sequencing problem

Gulsah Hancerliogullari, Ghaith Rabadi, Mohamed Kharbeche, Ameer Al-Salem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Delays in flights resulting in multi-billion-dollar losses are declared annually worldwide. Hence, an identification of air traffic policies that can reduce frequent and costly inefficiencies is needed. The problem of scheduling aircraft arrivals and departures on single or multiple runways is analogous to a machine job scheduling problem with sequence-dependent setup times and with tardiness penalties. Each plane has an allowable ready time, target time and target time-to-deadline time window. There are costs associated with landing or departing later than this target time. The objective is to optimally land and depart a set of planes on single or multiple runways in such a way that separation criteria between all pairs of planes are satisfied. As aircraft sequencing and scheduling at airports is an NP-hard problem, heuristic algorithms are used to obtain solutions in a reasonable time. Copyright, American Society for Engineering Management, 2012.

Original languageEnglish
Title of host publicationAnnual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management
Subtitle of host publicationEmbracing Change and Uncertainty in Engineering Management
Pages773-779
Number of pages7
Publication statusPublished - 2012
Externally publishedYes
Event33rd Annual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management: Embracing Change and Uncertainty in Engineering Management - Virginia Beach, VA, United States
Duration: 17 Oct 201220 Oct 2012

Publication series

NameAnnual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management: Embracing Change and Uncertainty in Engineering Management

Conference

Conference33rd Annual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management: Embracing Change and Uncertainty in Engineering Management
Country/TerritoryUnited States
CityVirginia Beach, VA
Period17/10/1220/10/12

Keywords

  • Aircraft Sequencing Problem
  • Heuristics
  • Total Weighted Tardiness

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