• Journal of the Korea Safety Management & Science
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• v.8 no.2
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• pp.169-184
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• 2006

We analyzed the questionnaire survey for the current maintenance of Incheon port's loading and unloading equipments and the possibility of TPM(Total Productive Maintenance) application. Results of the survey indicated that the current maintenance of Incheon port's loading and unloading equipments was not good. So we suggest TPM as the future maintenance methodology of equipments. Using TPM to the loading and unloading equipments we will expect to improve the productivity of the loading and unloading operation and to increase the life time of equipment. And also it will raise the safety of Incheon port.

• Journal of Korea Port Economic Association
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• v.23 no.4
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• pp.23-47
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• 2007

We analyzed the questionnaire survey for the current maintenance of Incheon port's loading and unloading equipments and the possibility of TPM(Total Productive Maintenance) application. And also, We certificated Structural Equation Model with computer packages. Results of the survey indicated that the current maintenance of Incheon port's loading and unloading equipments was not good. We recognized the relationship of contextual factors about the productivity of the loading and unloading equipments The productivity of the loading and unloading equipment positively depends on maintenance management of equipments, but the organization and personnel management does not have a influence on the productivity of the loading and unloading equipment. So we suggest TPM as the future maintenance methodology of equipments. Using TPM to the loading and unloading equipments, we will try to improve the methodology of the organization and personnel management.

• The Journal of Korea Robotics Society
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• v.19 no.1
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• pp.79-91
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• 2024

Large warehouses are building automation systems to increase efficiency. However, small warehouses, military bases, and local stores are unable to introduce automated logistics systems due to lack of space and budget, and are handling tasks manually, failing to improve efficiency. To solve this problem, this study designed small loading and unloading equipment that can be mounted on transportation vehicles. The equipment can be controlled remotely and is automatically controlled from the point where pallets loaded with cargo are visible using real-time video from an attached camera. Cargo recognition and control command generation for automatic control are achieved through a newly designed deep learning model. This model is designed to be optimized for loading and unloading equipment and mission environments based on the YOLOv3 structure. The trained model recognized 10 types of palettes with different shapes and colors with an average accuracy of 100% and estimated the state with an accuracy of 99.47%. In addition, control commands were created to insert forks into pallets without failure in 14 scenarios assuming actual loading and unloading situations.

• Journal of the Korea Safety Management & Science
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• v.8 no.1
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• pp.1-16
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• 2006

We applied the TPM to loading and unloading equipments of Incheon port and compared with the current maintenance of Incheon port's equipments. Also we analyzed the death disaster causes of equipments and work tools and suggested TPM techniques as a plan of disaster prevention. Using TPM to the loading and unloading equipments we expect to obtain the breakdown zero, defective zero, and disaster zero. And then it should raise the productivity of harbor loading and unloading equipments.

• Journal of Korea Port Economic Association
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• v.33 no.1
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• pp.1-10
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• 2017

The dynamic nature of mechanization and automation to improve productivity and safety within logistics centers, has necessitated various studies to support efficient and safe working conditions for workers. However, accidents in the loading dock occur frequently as workers and forklift trucks operate within the same space. This research introduces cargo batch loading and unloading systems, which enable increasing productivity and safety through the use of mechanization and automation in the loading dock. To assist efficient operation of this new system, four pieces of general-purpose equipment or three pieces of dedicated equipment are deemed to be essential. Moreover, the floor area of the loading dock is designed to accommodate $256.28m^2$ and $207.00m^2$ for the general-purpose and dedicated systems respectively, in addition to the space allocated for equipment and additional space. The design of the loading dock considers the area of the loading dock as well as the cargo batch loading and unloading systems. Economic analysis, such as NPV, IRR, and PBT, were conducted in addition to sensitivity analysis on key variables.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.246-248
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• 2005

The power plants have a loading dock and unloading device for the diverse kinds of fuel such as the bituminous coal and natural gas imported by the sea from all over the world. To unload the coal in the ship not only in the environment-friendly manner but also in the cost-effective way, the new type of heavy equipment loaded with additional features as well as excavator and the remote controller to maneuver this equipment are developed. This heavy equipment, which can be used to unload the coal in the ship in conjunction with CSU (Continuous Ship Unloader), and the remote controller are endorsed by the related code and laws. With the remote controller, the field workers can operate the unloading equipment at the remote place far from the equipment as well as in the cabin for themselves without tile remote controller.

• Journal of Ocean Engineering and Technology
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• v.12 no.1
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• pp.65-75
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• 1998

The fracture resistance curve is one of most important and design techniques employed in nuclear pressure vessel structures. This study is to evaluate the J-R curve characteristics for the SA508C-3 by the unloading compliance method and load rato analysis. The effect of strain aging for the exponential correlation of the J-R curve in this metal are investigated at room temperature, 20$0^{\circ}C$ and 30$0^{\circ}C$. The load ratio analysis method can evaluate the J-R curve by using the simple tension load-displacement curve only without the repeat of the unloading and loading. Therefore, the analysis by the proposed load ratio method has a merit, in comparison with the unloading compliance method, which can measure the crack length without the precision measurement equipment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.61-62
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• 2023

There have been cases where the number of port workers has temporarily decreased due to COVID-19. To prevent the spread of COVID-19, a number of workers were quarantined, resulting in bottlenecks and waiting throughout the port operation process, increasing the congestion of terminals. As a result, problems such as a decrease in terminal operation efficiency occurred. However, it is understood that congestion centered on unloading equipment inside the terminal is not clearly calculated. Terminal congestion is thought to be a key factor directly related to the operational efficiency of the terminal. The congestion calculation method generally used in various fields measures congestion based on image-based data. Due to the nature of the loading and unloading equipment that moves according to the quantitative loading plan, it is unreasonable to apply the existing congestion calculation method. Therefore, this study presented a method of calculating terminal congestion using equipment waiting time and turnaround time, and verified the statistical significance of the congestion calculated using data from Terminal A of Busan Port.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.592-598
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• 2005

The port, differently from general working places, is a closed area required for security, customs, and quarantine procedures. The loading and unloading is being done differently by ports, cargoes, and ships. To do loading and unloading, a lot of equipment and different types of labor are required, which flow is complicated and safe management is essential. As above mentioned the port is very unique and very deteriorated working place in its working environment. The purpose of this study is to propose ways to reduce and prevent from port accidents. As first step to do this, we have collected 923 accidents happened at Incheon Port during the period of 1994 to 2003. We have thoroughly analyzed characteristics, harmfulness, and risk of the loading/unloading they have done, as well as the accident frequency and relationship between the accidents. As second step to further analyze, We have employed DMAIC technology, an advanced process of 6 sigma presently in spotlight as the best program for management innovation. This analysis results in recognition of important accident characteristics, causes and effects analysis, critical causes of accident, and suggestions to decrease accidents.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.199-212
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• 2005

Many countries of the world is driving forward development of large-scale hub port. They are now pushing ahead with setting up of effective marketing strategies to survive in keen competitions of the 21st century port industry. The port is of ever increasing importance for the bridge connecting sea and road transportation in handling international cargoes. The port, differently from general working places, is a closed area required for security, customs, and quarantine procedures. The loading and unloading is being done differently by ports, cargoes, and ships. To do loading and unloading, a lot of equipment and different types of labor are required, which flow is complicated and safe management is essential. As above mentioned the port is very unique and very deteriorated working place in its working environment. The purpose of this study is to propose ways to reduce and prevent from port accidents. As first step to do this, we have collected 923 accidents happened at Incheon Port during the period of 1994 to 2003. We have thoroughly analyzed characteristics, harmfulness, and risk of the loading/unloading they have done, as well as the accident frequency and relationship between the accidents. As second step to further analyze, We have employed DMAIC technology, an advanced process of 6 sigma presently in spotlight as the best program for management innovation. This analysis results in recognition of important accident characteristics, causes and effects analysis, critical causes of accident, and suggestions to decrease accidents.