Post disaster adaptation management in airport: A coordination of runway and hangar resources for relief cargo transports

Yichen Qin, Kam K.H. Ng, Hongtao Hu, Felix T.S. Chan, Shichang Xiao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Air traffic congestions for processing relief cargos under post-disaster relief scenarios are common, due to high transport demands within a short time. To enhance the resilience of relief operations at airport, an optimization problem of relief air cargo transportations involving aircraft sequencing and loading/unloading within a designated hangar is studied in this paper. The objective is minimizing the tardiness in fulfilling inbound and outbound relief cargos. A mixed-integer linear programming model is formulated, which incorporates aircraft sequencing and hangar parking planning. To resolve the practical problem efficiently, we propose a two-stage optimization approach, which reduces complexity in solving the original model by coordinating the decisions of aircraft landing and take-off schedule and cargo hangar parking arrangement through iterations. The efficiency of the proposed method is examined through the computational results. High-quality solutions can be obtained by the two-stage optimization method within a reasonable time for practical implementation, which enhances the responsiveness and resource utilization of airport operations management under disaster relief situations.

Original languageEnglish
Article number101403
JournalAdvanced Engineering Informatics
Volume50
DOIs
Publication statusPublished - Oct 2021

Keywords

  • Adaptive decision-making
  • Aircraft sequencing and scheduling problem
  • Airport management
  • Hangar parking arrangement
  • Post-disaster relief

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence

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