Skip to Main content Skip to Navigation
Journal articles

A bi-objective approach for scheduling ground-handling vehicles in airports

Abstract : In the present paper, we propose a new approach for scheduling ground-handling vehicles, tackling the problem with a global perspective. Preparing an aircraft for its next flight requires a set of interrelated services involving different types of vehicles. Planning decisions concerning each resource affect the scheduling of the other activities and the performance of the other resources. Considering the different operations and vehicles instead of scheduling each resource in isolation allows integrating decisions and contributing to the optimization of the overall ground-handling process. This goal is defined through two objectives: (i) minimizing the waiting time before an operation starts and the total reduction of corresponding time windows and (ii) minimizing the total completion time of the turnarounds. We combine different technologies and techniques to solve the problem efficiently. A new method to address this bi-objective optimization problem is also proposed. The approach has been tested using real data from two Spanish airports, thereby obtaining different solutions that represent a trade-off between both objectives. Experimental results permit inferring interesting criteria on how to optimize each resource, considering the effect on other operations. This outcome leads to more robust global solutions and to savings in resources utilization.
Document type :
Journal articles
Complete list of metadatas

Cited literature [65 references]  Display  Hide  Download
Contributor : Laurence Porte <>
Submitted on : Tuesday, June 19, 2018 - 11:21:42 PM
Last modification on : Wednesday, July 24, 2019 - 11:48:02 PM
Document(s) archivé(s) le : Tuesday, September 25, 2018 - 1:41:15 PM


Files produced by the author(s)




Silvia Padrón, Daniel Guimarans, Juan Ramos, Salma Fitouri-Trabelsi. A bi-objective approach for scheduling ground-handling vehicles in airports. Computers and Operations Research, Elsevier, 2016, 71, pp 34-53. ⟨10.1016/j.cor.2015.12.010⟩. ⟨hal-01819078⟩



Record views


Files downloads