• Journal of Fisheries and Marine Sciences Education
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• v.25 no.4
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• pp.998-1007
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• 2013

At container terminals, a major measurement of productivity can be work efficiency. For improving the productivity of container crane, the more efficient container yard operation method is necessary in container terminals. Recently, container terminal operators make an experiment on the dual cycle operation, which ship loading/unloading were carried out simultaneously, for increasing the productivity of container crane. In this paper, propose a system operating efficient dual cycle methods as utilize Ad-hoc technology in distributed port operation system. The dual cycle methods that proposed recognizes position information of Y/T during an action in Ad-hoc networks in case of container transfer works by real time as load an Ad-hoc module to Y/T taking charge of a container transfer with quay and yard. Utilize Ad-hoc networks technology in an operating system of container yard, and efficiently distributed processing done Y/T to container crane compare with operation systems of the existing dedicated method, and an improvement can do an operating system of an yard.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.35-40
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• 2003

This paper presents a method for designing layout on the yard and evaluating alternative designs of the layout by applying simulation. The method is based on the concepts of the conventional port container terminal with a perpendicular yard layout. In general, yard design of the container terminal is consists of the two major parts. One is to divide yard area between the number of sections and the number of runs and the other is to decide the number of equipment that is the yard truck and yard crane. In the past days, this design was depended on the experience of the terminal operator and the structure of the conventional terminal layout because it is a very complex decision problem. In this paper we suggest the method of yard design as a conceptual procedure and estimate the efficiency of the container crane and the optimal the number of equipment using the simulation. Numerical examples are provided in order to illustrate the conceptual procedure. As the example, the suggested method and simulation are applied to the virtual container terminal with a perpendicular yard layout. In the results, the number of sections and runs on yard area, the number of yard truck per container crane and the number of yard crane per run are decided. In additional, the traffic among blocks on yard layout is estimated in terms of rate.

• Journal of Distribution Science
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• v.11 no.5
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• pp.33-41
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• 2013

Purpose - Yard inventories increase when export containers are carried into the terminal and decrease when import containers are delivered to the consigners. The purpose of this study is to analyze container inventories according to the weekly ship arrival pattern at container terminals. Research design, data, and methodology - As container ships operate according to weekly schedules based on shipping companies and their routes, specific terminals provide a fixed-day service in a week. Thus, yard inventories can change with weekly fluctuations. The data used in this study were the actualdata at specific container terminals. Result - The dwell times of each container at a terminal represent an important variable that affectsyard inventories. Even cargo flows are steady in a given period, if dwell times are prolonged, yard inventories increase. Conclusion - Dwell time is another factor causing yard inventory change. Therefore, the calculation for yard inventories should consider the weekly ship arrival patterns and dwell times of each container. Further, at the planning stage, dwell time should be more carefully considered to calculate yard capacity.

• Journal of Navigation and Port Research
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• v.31 no.2
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• pp.141-149
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• 2007

The competitiveness of container terminals hinges on minimizing the time vessels spend in port and on schedule services. Many previous researches on container terminals have tried to optimize the equipment allocation plan and to improve the activity of resources. Nevertheless, there have been few researches conducted on yard tractors, which move containers between the quay and the yard. The aim of this study is to propose the use of Real Time Location Systems (RTLS) based Dynamic Planning for yard tractors. Only RFID (Radio Frequency Identification) tags, which are attached to yard tractors, are able to support RTLS implementation. The system can provide real time job ordering in terms of load balancing using the information on location, in regards to the movement of yard tractors. This study will present the practical feasibility of RTLS, which can ultimately reduce the congestion of Hot Queues in container terminals. As a result, container terminals can be more productive and competitive. In order to accomplish the purpose of this study, we examined previous studies on the competitiveness of container terminals and summarized the potential of RTLS using RFID. In addition, we identified the role of yard tractors and proposed the two rules of Dynamic Planning for the yard tractors. We then fulfilled computational experiments on how yard tractors carrying containers by RTLS ordering Finally, the benefits and the implications of this study are discussed.

• Journal of Korea Port Economic Association
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• v.21 no.1
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• pp.59-72
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• 2005

There were many theoretical studies using mathematical models about a yard storage capacity in a container terminal so far, but a simulation approach is newly popularizing. The reason why the simulation studies about yard storage capacity were a few was that once the most important part in a container terminal was a quay part. However, from the economic crisis year of 1977, the yard storage part in a container terminal became a critical resource because of the shortage of SOC investment resources. Therefore, after discharging or loading even through there was a waiting in the quay part or not, it can be swiftly improved the efficiency of a container terminal if it was handled rapidly or smoothly in a container yard. So the accurate assessment of yard storage capacity in a container terminal was needed. This study planed to assess the operation capability of a container yard via a simulation model. The model included many chatacteristics of three Korean container terminals such as Gamman Hanjin, Uam, and Hutchinson Busan at the period of 1999 to 2000. The 95% percentile was chosen as a criterion for judging of the storage capability by the recommendation of KPC (1998) and JWD (1998). A simulation approach with system dynamics concept considering the multi-directional impacts within the related variables can probavly foresee the future storage capacity of a terminal not just the past.

• Journal of Navigation and Port Research
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• v.28 no.6
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• pp.549-555
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• 2004

The purpose of this study is to estimate the required number of yard tractor on port container terminal. The number of yard tractor is the bottleneck factor on the efficiency of container terminal. Due to the change in travel speed and travel distance, the efficiency is difficult to estimate. The efficiency of yard tractor is estimated by the proposed simulation model that developed considering the queueing network between container crane and transfer crane. The number of yard tractor per container crane is estimated by the alternative analysis. And to determine the number of yard tractor per container crane, the performance measure such as the distance between berth and yard, the speed of yard tractor are simulated.

• Journal of Korean Institute of Industrial Engineers
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• v.35 no.1
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• pp.58-72
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• 2009

The main activities of container terminals are to load container freights to vessels, discharge them from vessels, and store them in the storage yard. Container terminals make many operational plans to execute these functions effectively. If the plans do not consider enough the loads of related resources, they may have low actualities. This study discusses the optimal yard planning model which considers various resources, such as the storage yard, yard cranes, internal vehicles, and travel lanes, in container terminals. The model determines the groups and amounts of containers which are stored in each storage block by using the resource profile. The yard planning problem is represented to the multi-commodity minimal cost flow problem and is formulated to the linear programming model. In order to explain the application of the mathematical model, the numerical examples are presented. Additionally, the relationship between the average load ratio and the relocation ratio is discussed.

• Proceedings of the Safety Management and Science Conference
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• 2003.11a
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• pp.271-284
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• 2003

We developing for Gate-Container Yard model to execute the Input & Output process of containers which are waiting in container yard effectively and fast. The optimal model is developed to manage and trace the containers in yard. We developed the put-away strategies which considered the storage time for volume of transportation and the distance between blocks and gates using the MICRO-CRAFT (Computerized Relative Allocation Facilities Technique).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.167-172
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• 2004

Marine ttransport is a big part of container transportation. In view of container terminal. the planning technology is very important to secure the stability and regularity at container yard. The purpose of this paper is to suggest more efficient container yard management by evaluating the container yard occupations from the methods of divide that predict the carried containers in gates.

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.148-154
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• 2021

With advancements of quay side handling equipment and technologies, congestion in terminal operation has moved to the storage yard side from the quay side. The importance of storage yard management has increased in overall terminal operation. Thus, many studies have been conducted to optimize the storage yard management of container terminals. However, there is no academic work to estimate the change of storage yard occupancy ratio by itself in the future. This paper examines the probability of storage yard occupancy ratio in the container terminal of Busan New port using the Markov chain analysis which explains probability change with passing time. The result shows that it is most likely to have the probability of maintaining a high level of storage yard occupancy ratio in the container terminal of Busan New Port.