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Collaborative truck scheduling and appointments for trucking companies and container terminals
Affiliation:1. DIBRIS-Department of Informatics, BioEngineering, Robotics and Systems Engineering, University of Genova, Italy;2. IVT-Institute for Transport Planning and Systems, Swiss Federal Institute of Technology, Zurich, Switzerland;1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;2. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;1. DIBRIS-Department of Informatics, BioEngineering, Robotics and Systems Engineering. University of Genova, Via Opera Pia 13, Genoa, 16145, Italy;2. CIELI-Italian Centre of Excellence in Integrated Logistics. University of Genova, Piazza della Nunziata 6, Genoa, 16124, Italy;1. Engineering Research Center of Container Supply Chain Technology, Ministry of Education, Shanghai Maritime University, Shanghai 201306, PR China;2. School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia
Abstract:Appointment systems for truck arrivals at container terminals have been applied in many ports to reduce truck congestion. This study suggests a new appointment process by which trucking companies and terminals collaboratively determine truck operation schedules and truck arrival appointments. This study formulates a mathematical model involving a sub-problem for each trucking company to determine the optimal dispatching schedules for trucks and the other sub-problem for the terminal to estimate the expected truck system time in each time interval. An iterative collaboration process is proposed based on a decomposed mathematical formulation. Numerical experiments are conducted to investigate the performance of the decision process and the robustness of the process in practical operation conditions.
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