• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.289-295
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• 2004

The objective of this paper is to analyze the equipment combination of stevedoring system at port container terminal. In general, the productivity of container terminal is evaluated by productivity of container cranes at apron, but there are other equipment such as transport vehicles and yard cranes. Therefore, a method that can estimate the optimal equipment combination of stevedoring system in container terminal is required. We perform various simulation experiment and analyze equipment combination to improve the productivity. From the application of the case study, we demonstrated the savings effect using mean waiting time rates by the equipment combination.

• Journal of Korea Port Economic Association
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• v.18 no.1
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• pp.43-60
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• 2002

Apart from the DEA method, the traditional measuring systems of container terminal productivities generally bring to light the partial productive efficiencies, because they evaluate only the productivity of each individual facility. However, these methods do not play roles of the reasonable productivity measures to compare and evaluate the efficiencies of terminals to meet the requirement of terminal customers like as shipping lines, shippers, etc. with the cutthroat competition in container handling market. As the suppliers of service, the terminals struggle to cope with the needs of buyers' markets due to the lack of suitable criteria to measure the efficiencies. Therefore, this paper uses the simulation approach to reveal which strategies enhance the productivities through the container terminal analysis. An additional intent of this paper is to build the active strategies to present what the experimental indexes like as norm-time exactness ratio, norm-time excess ratio, etc. compare between terminals to measure the total productivities for the age of global supply chain management. However, the experimental productivity indexes presented in this paper require a validation of the exact usefulness, by consideration from all angles in the future, and a development to more reasonable measuring method/indexes for the container terminal productivities.

• Journal of Korean Port Research
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• v.14 no.3
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• pp.259-267
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• 2000

This study aims to analyse the coefficient used to estimate the quay capacity per year at the container terminal. The capacity of the container terminal is composed of the capacity at the quay side and the other working conditions at the back of the quay side. But when we refer the capacity of the container terminal, generally we used capacity as that of the container terminal. To estimate the quay capacity independently of the working conditions at the back of quay side, we calculate the quay capacity as th product of working hours per year, productivity of container crane and relate other coefficients, such that berth utilization, crane utilization and efficiency. So that coefficients are properly defined to reflect the other working conditions. If we calculate the quay capacity by the product of working hours modified by the berth utilization and crane productivity modified by the crane utilization and efficiency, the meaning of that coefficients must be strictly defined. So there could be no confusion to apply that coefficients to calculate the quay capacity. In this study, we exclusively define the meaning of the berth utilization, crane utilization and efficiency according to the internal-meaning of thats in the function to calculate the quay capacity. And compare each coefficients by decomposing the working hours at the terminal.

• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.109-118
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• 2005

The purpose of this paper is to analyze transport ability of AGV(Automated Guided Vehicle) and SHC(SHuttle Carrier). The main difference between two types of transport vehicles is that AGV depends on container crane or transfer crane to do loading/unloading container, but SHC is very independent to it. Therefore, the transport ability of SHC is expected to be higher than AGV. So, in this paper, we established simulation model to evaluate two types of transport vehicles and analyzed the results. Simulation model was established to automated container terminal with perpendicular yard layout, and applied closed loop operation of transport vehicle between apron and stacking yard. In the result, SHC showed very superior than AGV aspect of container crane productivity and vehicle fleets.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.57-63
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• 2005

The purpose of this paper is to analyze transport ability of AGV(Automated Guided Vehicle) and SHC(SHuttle Carrier). The main difference between two types of transport vehicles is that AGV depends on container crane or transfer crane to do loading/unloading container, but SHC is very independent to it. Therefore, the transport ability of SHC is expected to be higher than AGV, So, in this paper, we established simulation model to evaluate two types of transport vehicles and analyzed the results. Simulation model was established to automated container terminal with perpendicular yard layout, and applied closed loop operation of transport vehicle between apron and stacking yard. In the result, SHC showed very superior than AGV aspect of container crane productivity and vehicle fleets,

• Journal of Korean Port Research
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• v.5 no.1
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• pp.55-69
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• 1991

A Container terminal is a physical link between the ocean and land modes of transport and a major component of the container physical distribution system. A number of projects to increase terminal productivity in the world were found to be tied directly to increasing the efficiency of the intermodal activities, that is, to improving the physical distribution process. This is an indication that the productivity of container terminal is being considered withing a system prospective. The purpose of this study is to establish a model of the container physical distribution system for Pusan port linked with 4 sub-systems including Navigational aids system, Cargo handling/transfer/storage system on dock, Off-dock CY system and In-land transport connection system. and to analyze the system. From this analysis, we found that the system had three bottlenecks on the container physical distribution process in Pusan port : a) cargo handling b) storage and c) inland transport, and showed a way to improve the system.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.77-86
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• 2008

This study presents a method for estimating the productivity of the ship operation in container terminal. The productivity of the ship operation is influenced by the specifications of each piece of equipment and layouts of the terminal, and the operational strategies. The handling equipments considered in this study are QC(Quay Crane), RMGC (Rail mounted gantry crane), and Transporter (TR). The simulation experiments are conducted to estimate the QC productivity based on the change of the design factors.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.385-392
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• 2004

The objective of this study is to evaluate the effectiveness of new operation system for port container terminals. We assumed that the operation system of container terminal consists of monitorig ＆ control system, operation system, planning system, and information technology, and we selected total 19 technology alternatives. Through the results of questionnaire and interview received from field expert, we established the evaluation model and analyze the productivity improvement by estimating the weight and the priority of productivity for operation system. From the developed model, we provide useful implications to introduce new technologies of operation system for domestic container terminals.

• Journal of Navigation and Port Research
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• v.29 no.1 s.97
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• pp.97-104
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• 2005

The objective of this study is to evaluate the expected effectiveness of new operation system for port container terminals. We assumed that the operation system of container terminal consists of monitoring & control system, operation system, planning system, and information technology, and we selected total 19 technology alternatives. Through the results of questionnaire and interview received from field expert, we established the evaluation model and analyzed the productivity improvement by estimating the weight and the priority of productivity for operation system From the developed model, we provide useful implications to introduce new technologies of operation system for domestic container terminals.

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.401-407
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• 2009

The improvement in the terminal productivity plays a key role for container terminals to be more competitive. The productivity of yard tractors(YT) is one of the most important factor accelerating the terminal productivity. Thus, YT pooling system is newly introduced in container terminals for increasing the YT productivity. Recently, the terminals in Korea tend to adopt YT pooling system. This paper proposes the important decision factors for YT pooling work space and several types of formulations according to states of container terminals.