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

4 Citations (Scopus)


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
Publication statusPublished - Oct 2021


  • 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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