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Title:Optimizing hybrid operations at large-scale automated container terminals
Authors:F. Corman, J. Xin, A. Toli, R.R. Negenborn, A. D'Ariano, M. Sama, G. Lodewijks

Conference:4th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
Address:Budapest, Hungary
Date:June 2015

Abstract:This work tackles the problem of controlling operations at an automated container terminal. In the context of large supply chains, there is a growing trend for increasing productivity and economic efficiency. New models and algorithms are provided for scheduling and routing machines that are moving containers in a quay area, loading/unloading ships, transporting them via Automated Guided Vehicles (AGVs) to Automated Stacking Cranes (ASCs), organizing them in stacks. In contrast with the majority of the approaches in the related literature, this work tackles two dynamics of the system, a discrete dynamic, characteristic of the maximization of operations efficiency, by assigning the best AGV and operation time to a set of containers, and a continuous dynamic of the AGV that moves in a geographically limited area. As an assumption, AGVs can follow free range trajectories that minimize the error of the target time and increase the responsiveness of the system. A novel solution framework is proposed and some computational result are reported to show the feasibility of the proposed approach.

Reference:F. Corman, J. Xin, A. Toli, R.R. Negenborn, A. D'Ariano, M. Sama, G. Lodewijks. Optimizing hybrid operations at large-scale automated container terminals. In Proceedings of the 2015 Models and Technologies for Intelligent Transportation Systems (MT-ITS), Budapest, Hungary, pp. 8, June 2015.
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