Ground Handling Operations Management: An Agent-Based Modelling Approach

Authors

  • Hayat El Asri

  • Abderrahim Agnaou

  • Ali Fakhrulddin

  • Ali Al-Humairi

resource allocation, routing, aircraft, ground handling operations, autonomous system, algorithms, simulation

Abstract

This work addresses the resource allocation-routing problem in the aircraft Ground Handling (GH) context. This problem is classified as one of the challenges that most of the ground-handling operators face nowadays. It consists of allocating a number of resources including workers and vehicles to aircraft of different service requirements and specifications. The allocation deals with the assignment of m teams of n skilled workers to k special purpose vehicles to serve i aircraft on the air-side area, while the routing is to determine the optimal route used by a group of workers integrated with vehicles when serving one or more aircraft. Both the allocation and routing tasks are affected by a number of constraints including different aircraft types and sizes, different aircraft service times, and various GH operation details based on flight types.

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How to Cite

Ground Handling Operations Management: An Agent-Based Modelling Approach. (2018). Global Journal of Science Frontier Research, 18(F6), 15-22. https://www.journalofscience.org/index.php/GJSFR/article/view/2317

References

Anne Graham (2014) Aviation and tourism policies: Balancing the benefits. 1(4), 257-258.

Salma Fitouri-Trabelsi, Carlos Cosenza, Felix Mora-Camino (2015) Ground Handling Management at Airports with Fuzzy Information. 46(24), 373-378.

Ground Handling Operations Management: An Agent-Based Modelling Approach

Published

2018-08-10

How to Cite

Ground Handling Operations Management: An Agent-Based Modelling Approach. (2018). Global Journal of Science Frontier Research, 18(F6), 15-22. https://www.journalofscience.org/index.php/GJSFR/article/view/2317