Title | ||
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Yard crane dispatching based on real time data driven simulation for container terminals |
Abstract | ||
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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. |
Year | DOI | Venue |
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2008 | 10.1109/WSC.2008.4736380 | Winter Simulation Conference |
Keywords | Field | DocType |
vehicle arriving patterns,yard crane performance,dispatching,yard crane management system,planning window,yard crane dispatching,yard crane job sequencing,cranes,planning,containers,container terminal,terminal equipment,real time data,overall terminal productivity,yard crane,container terminals,minimisation,vehicle waiting time,real time yard crane,yard crane job,real time,simulation,mean squared error,management system | Real-time data,Simulation,Computer science,Transponder,Mean squared error,Yard,Minimisation (psychology),Global Positioning System,Terminal equipment,Management system | Conference |
ISBN | Citations | PageRank |
978-1-4244-2708-6 | 11 | 0.85 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xi Guo | 1 | 59 | 5.95 |
Shell Ying Huang | 2 | 161 | 19.52 |
Wen Jing Hsu | 3 | 174 | 13.70 |
Malcolm Yoke Hean Low | 4 | 694 | 52.19 |