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Yard crane dispatching based on real time data driven simulation for container terminals

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Yard crane dispatching based on real time data driven simulation for container terminals

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Title: Yard crane dispatching based on real time data driven simulation for container terminals
Author: Guo, Xi; Huang, Shell Ying; Hsu, Wen Jing; Low, Malcolm Yoke Hean
Copyright year: 2008
Abstract: This paper studies the problem of real time yard crane dispatching in container terminals. Many technologies, including transponders, RFID and GPS have been used in the container terminal setting for real-time tracking of terminal equipment. A judicious integration of real-time data into the yard crane management system will allow better utilization of terminal resources to improve overall terminal productivity. We propose a yard crane dispatching algorithm based on real time data driven simulation to solve the problem of yard crane job sequencing to minimize average vehicle waiting time. The algorithm will produce optimal operation sequence for each planning window. Several policies to select jobs to form the planning window are also proposed. Our simulation results show that dispatching yard crane based on real time data driven simulation is of great value in improving yard crane performance in 3 scenarios with different vehicle arriving patterns and our results are 10% worse off a loosely estimated overall optimal performance result.
Subject: DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineeringDRNTU::Engineering::Maritime studies::Maritime science and technology
Type: Conference Paper
Conference name: Winter Simulation Conference (2008 : Florida)
School: School of Computer Engineering
Rights: © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/WSC.2008.4736380].
Version: Accepted version

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