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A bi-objective approach for scheduling ground-handling vehicles in airports
Affiliation:1. Department Telecommunication and System Engineering, Universitat Autònoma de Barcelona, C/ Emprius, 2, 08202 Sabadell, Barcelona, Spain;2. Optimisation Research Group, National ICT Australia (NICTA), 13 Garden Street, Eveleigh, NSW 2015, Australia;3. Mathématiques Appliquées, Informatique et Automatique pour l?Aérien (MAIAA) & Air Transportation Department, L?Ecole Nationale de l?Aviation Civile (ENAC), 7 Avenue Édouard Belin, 31055 Toulouse Cedex 04, France;1. College of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, PR China;2. Institute of Systems Engineering, State Key Laboratory of Synthetic Automation for Process Industries, Northeastern University, Shenyang 110004, PR China;3. Information Technology Center, China Mobile Group Liaoning Co., Ltd, No. 6 Xinlong Street, Hunnanxin District, Shenyang 110179, PR China;1. Aviation Academy, Amsterdam University of Applied Sciences, 1097 DZ Weesperzijde 190, Amsterdam, The Netherlands;2. Universidad de Ibagué, Facultad de Ingeniería, Carrera 22, Calle 67, 730002 Ibagué, Colombia;3. INESC TEC and Faculdad de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200–465 Porto, Portugal
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.
Keywords:Air transportation  Ground handling  Multi-objective optimization  Constraint programming  Vehicle Routing Problem with Time Windows
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