• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.359-367
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• 2005

In order to increase the productivity of container terminals, automation is being considered seriously in nowadays. A yard is usually automated by running autumated RMGs (rail mounted gantries) which may require somewhat a different stacking strategy to archive a better performance. In this paper, we present a simulation model for RMGs and summarize experimental results with two different stacking strategies applied to a horizontal block which has two non-crossable RMGs. The concentrating strategy, which stacks containers belong to a single ship together and dedicateds each RMG to either ship services or external truck services, showed a good performance in ship unloading. In the contrast, the distributing strategy, which partitions a block into two regions and binds each RMG to one of the regions to improve the productivity of ship services by running each RMG alternately, is suggested for blocks of exporting.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.335-336
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• 2007

This paper propose a heuristic method that divides the block into some work regions to operate stacking cranes efficiently in a automated container terminal where the blocks with non-crossing stacking cranes(SC) are laid out in perpendicular to the quay. Typically, fund over between SCS and trucks occur at each side if the blocks, and each if the landside and seaside SCS is responsible for the jobs that occur at its own side. When a container to be fetched is located far from fund over point, the SC should move a long distance and the interference between the two cranes am occur, which decreases the productivity of the SCS. Therefore, our method divides the block into two exclusive and one shared regions and let the containers located far from their fund over points to be transferred to the shared region by the other side crane before they are carried out. Although simple this method am reduce the crane movement and the interference between the two cranes. Simulation experiment shows that our proposed method significantly improves the productivity if the container terminal than previous heuristic that does not divide work regions.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1679-1684
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• 2004

This paper introduces a novel approach that can provide the three dimensional information on the movement of a spreader by using two CCD cameras and a laser distance sensor, which enables an ALS (Automatic Landing System) to be used for yard cranes at a harbor. So far a kind of 2D Laser scanner sensor or laser distance measuring units are used as corner detectors for the geometrical matching between the spreader and a container, which provides only 2D information which is not enough for an accurate and fast ALS system required presently. In addition to this deficiency in performance, the price for the system is too high to be adopted widely for the ALS. Therefore, to overcome these defects, a novel method to acquire the three dimensional information for the movement of a spreader including skew and sway angles is proposed using two CCD cameras and a laser distance sensor. To show the efficiency of proposed algorithm, real experiments are performed to show the accuracy improvement in distance measurement by fusing the sensory information of CCD camera and laser distance sensor.

• Journal of the Korean Society of Industry Convergence
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• v.17 no.4
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• pp.211-216
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• 2014

In general, gantry robot is very useful handling of heavy objects. But rope-driven yard cranes must have a little of sway and skew motion because ropes are passive mechanical device. So many researches have been concentrated on anti-sway algorithm controlling trolley speed. These approaches require sway angle. But it is very difficult to know sway angle and its derivative. Therefore control algorithm of trolley speed is not practical in general. On the contrary, control strategy using auxiliary rope is very useful to sway control of yard crane because rope length is shorter than quay-side container cranes. In this paper, we derive equations of motion of trolley system which have anti-sway controller to use auxiliary rope. And we propose the control strategy and analyse the behavior of the proposed system.

• Journal of Navigation and Port Research
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• v.28 no.8
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• pp.721-726
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• 2004

This study was performed to analyze the operation system of transfer crane to improve the reality of yard operation rules in container terminal and present the applicable method of operation rules to apply the operation priority. And we derived the procedure to estimate the maximum number of waiting truck based on the waiting of truck and the occupancy of driving lane in yard, and analyzed the constraint state of space. To solve the space constraint, we provided a multi-job principle to define the space resource and described the solution and sequence diagram for the principle.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.459-468
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• 2016

The decreasing number of import and export containers is causing a problem with container circulation. In particular, this problem has reached a serious level in the Gyeongin area. Empty containers are accumulating in the Gyeongin container yard, where most of the returned containers are stored. In order to improve the empty container return problem at Gyeonhin, this study analyzes the actual situation and the empty container return process. A preference survey was conducted to suggest solutions from the perspective of users rather than shippers. A logistics company's data was analyzed to identify the inefficient cost structure in the Gyeongin area. The results show that the empty container return problem in Gyeongin is becoming more and more serious. To solve this problem, this paper proposes reestablishing functions at the Incheon Port, and securing a third new storage terminal in the Gyeongin area. Finally, an efficient empty container circulation system is presented. It will also be necessary to prepare laws and institutions to ensure these solutions.

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.443-450
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• 2009

In this paper, we propose optimizing a remarshaling plan in an automated stacking yard using a cooperative coevolutionary algorithm (CCEA). Remarshaling is the preparation task of rearranging the containers in such a way that the delay are minimized at the time of loading. A plan for remarshaling can be obtained by the following steps: first determining the target slots to which the individual containers are to be moved and then determining the order of movement of those containers. Where a given problem can be decomposed into some subproblems, CCEA efficiently searches subproblems for a solution. In our CCEA, the remarshaling problem is decomposed into two subproblems: one is the subproblem of determining the target slots and the other is that of determining the movement priority. Simulation experiments show that our CCEA derives a plan which is better in the efficiency of both loading and remarshaling compared to other methods which are not based on the idea of problem decomposition.

• Journal of Navigation and Port Research
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• v.29 no.6 s.102
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• pp.573-581
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• 2005

The outbound containers in a container terminal are classified into a few groups by their weights and stacked separately in a yard for easy and efficient handling. In order to maintain the balance of a ship during loading, containers of heavier weight groups should be fetched out of a yard and loaded onto the ship before those of lighter weight groups. However, the weight information used to determine the weight group is usually imprecise. Therefore stacks will actually be filled with mixture of different weight groups and rehandlings are unavoidable during loading operation. This paper presents a method for estimating the number of rehandlings caused by imprecise information and a scheme for generating a simple but efficient slot assignment rule. Experiments have shown that a rule generated by the proposed method can reduce the number of rehandlings by about $20\%$ compared to the traditional slot assignment method which stacks only the containers of the same weight group in a single stack.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.391-398
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• 2005

The outbound containers in a container terminal are classified into a few groups by their weights and stocked separately in a yard for easy and efficient handling. In order to maintain the balance of a ship during loading, containers of heavier weight groups should be fetched out of a yard and loaded onto the ship before those of lighter weight groups. However, the weight information used to determine the weight group is usually imprecise. Therefore stacks will actually be filled with mixture of different weight groups and rehandlings are unavoidable during loading operation. This paper presents a method for estimating the number of rehandlings caused by imprecise information and a scheme for generating a simple but efficient slot assignment rule. Experiments have shown that a rule generated by the proposed method can reduce the number of rehandlings by about 20%compared to the traditional slot assignment method which stacks only the containers of the same weight group in a single stack.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.33-40
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• 2021

Currently, the shipping and port industries are implementing strategies to improve port processing capabilities through the expansion and efficient operation of port logistics resources to survive fierce competition with rapidly changing trends. The calculation of the port's processing capacity is determined by the loading and unloading equipment installed at the dock, and the port's processing capacity can be improved through various methods, such as additional deployment of logistics resources or efficient operation of resources in use. However, it is difficult to expect an improvement effect in a short period of time because the additional deployment of logistics resources is clearly limited in time is clear. Therefore, it is a feasible way to find an efficient operation method for resources being used to improve processing capacity. Domestic ports are also actively promoting informatization and digitalization with the development of the 4th industrial revolution technology. However, the calculation of the number of Y/T (Yard Tractor) assignments in the current unloading process depends on expert experience, and related previous studies also focus on the allocations of Y/T or Calculation of the total number of Y/T required. Therefore, this study analyzed the factors affecting the number of Y/T allocations using the loading and unloading information of incoming ships, and based on this, cluster analysis, regression analysis, and deep neural network(DNN) model were used.