• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.138-147
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• 2021

The need for analysis of the operational efficiency and productivity of the Busan Port Container Terminal is increasing because of the Hanjin Shipping's bankruptcy and the re-establishment of the Maritime Alliance. This paper analyzes the efficiency and productivity of five Busan New Port Container Terminal companies by using the DEA analysis and Malmquist productivity index model based on the port construction disclosure data and the collected terminal internal data. According to the analysis, the average efficiency of the five container terminals increased in 2018 but declined slightly in 2019, and the Malmquist index showed that all terminals except A have advanced productivity. Additionally, relative to facility productivity, operators at the North Container Terminal had higher facility productivity than operators at the Busan New Port Nam Container Terminal, and regarding capital productivity, the D terminal ported by HMM, a national shipping company, was the highest in facility productivity. Regarding labor productivity, the C terminal showed the highest productivity, and regarding ship work productivity, the A terminal showed the highest productivity.

• Journal of Navigation and Port Research
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• v.45 no.1
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• pp.1-8
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• 2021

The purpose of this study was to explore the regulations and operational problems of on-board training, and to investigate and analyze the satisfaction level of consignment on-board training among students who completed their training at Korea Maritime & Ocean University. In terms of satisfaction differences by gender, female students generally had a higher relative satisfaction level than male students. The different types of satisfaction in the navigation and engineering categories, the overall practical effect and satisfaction level of the training records shows that the satisfaction level of the trainee is much lower than that of the trainee, so relevant educational institutions and shipping companies need to take measures to improve the satisfaction level of this part. The most important part of the comprehensive company evaluation completed by trainees asked whether they thought the training was equivalent in labor to the employees. Results suggest shipping companies must make a clear distinction between employees and trainees, while establishing relevant internal procedures so that the on-board training process can be carried out in accordance with the purpose of the on-board training consignment.

• Journal of Navigation and Port Research
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• v.35 no.3
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• pp.271-279
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• 2011

This study aims at searching the global strategy which can raise the competitive power of IEC(International Express Companies) in Korea analyzing and coping with the international express companies and global factor of promotion. The global strategy varialbe for IEC- invigorating in korea is composed with nine variables which is M&A strategy, Intergrated logistics enterprise strategy, Globalized alliance strategy, SCM stratege, the third party operating strategy, Total logistic operating system strategy, Differentiated service providing strategy, Phased market entry strategy, Core capability strengthen strategy. According to the result of study, the global strategy influence for the nature of international express company's and increasing competitiveness is depend on specialization strategy and using scale of economy for globalization strategy.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.337-339
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• 2007

The productivity of container terminal is usually regarded same as the productivity of quay crane. Operation of quay crane for the export is started from picking up a container in yard block. In doing so, smooth flow of container is vital to maximize the productivity of quay crane. Improvement of quay crane's productivity means improvement of entire productivity in container terminal, which reinforces the competitiveness of terminal consequently. Setting effective plan is essential to improve work flow from yard to quay crane. For optimal plan, it is necessary to gather information about exact time schedule of come-and-go containers for loading, amount of containers that will be come to terminal. Generally, the arrival time of containers and the amount of containers are definite and predictable. However, in the case of export container, the arrival time of containers is random and unpredictable. This study examines the pattern of coming-in containers as time goes in container yard and provides the solution to how to plan export yard considering the change of state in terminal and adapt it to container yard plan

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.4
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• pp.376-384
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• 2017

Ship's Bunkering Business is one of the essential businesses creating added values of the port as a hub for a stream of the international logistics. Regulatory considerations of ship's bunkering business should be made to create a more relevant system and stabilize the bunkering industry so that the ports may produce more substantial added values. This paper suggests revisions the Harbor Transport Business Act, the Marine Transport Act, putting forward an idea of unifying safety management systems, establishing a guideline for bunker quality managements, and changing the laws regarding any wrongdoings of bunker suppliers. In conclusion, in order to increase the managerial integrity of the bunkering operators, reasonable burdens should be distributed across the government, refinery companies and ship-owners to achieve a more balanced state and enable long-term development to advance the business at issue, following a step-by-step approach to amend the contract practice, the laws and the systems.

• Journal of Advanced Navigation Technology
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• v.19 no.5
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• pp.354-362
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• 2015

In this study, for integrated management and inter-exchange of operational data generated by ships and land-side information on safe and business, a vessel communication system with modular functions was designed that applied high efficiency compression, least-cost algorithms and Inmarsat FBB connection automation system. Performance test at the KTsat Kumsan satellite earth station; system was found to delivered an average transfer speed of 7 kB/S, which was significant improvement from the existing commercial product's average speed of 5 kB/S. It also delivered twice the efficiency of the existing product in terms of compression rate and transfer of the most widely used office files in maritime businesses.

• Journal of Navigation and Port Research
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• v.30 no.6 s.112
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• pp.499-508
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• 2006

Many changes lie ahead for Korea both domestically and internationally including opening of Busan New Port, more active Gwangyang Port as well as rapid growth of Shanghai Port and enhanced services and productivity at Shenzen Port. Compared to newer ports, container terminals in Busan Port possesses old equipment and facilities. Therefore, in order for Busan Port to maintain its service level and remain competitive, it needs to undergo remodeling to enhance productivity. Remodeling activities should be implemented on a continual basis by developing and applying new technologies such as those for gate system, berth system, yard system, and IT system In order to review the alternatives, we performed questionnaire survey and interview. From the result of analysis, we designed the application plan based on priority in remodeling, period of technology application, and direction for application.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.69-74
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• 2012

Recent global supply chain, improving the efficiency of container shipping process is very important. In the overseas shipping of goods, the voyage of super containership is common to overcome amount of increasing cargo. Thus, container terminal managers make an experiment on the double cycle and dual cycle operation, which ship loading and unloading were carried out simultaneously, for maximizing the productivity of quay side. Yard Tractors(YTs) pooling methods also are introduced for increasing the efficiency of assignment of YTs. In this paper, we analyzed the efficiency of dual cycling through comparing existing pooling methods with the modified method for the dual cycling. We developed a simulation model using simulation analysis software, Arena. The result of experiment shown that the more dual cycling don't always increase the gross crane rate(GCR), which means productivity of quay cranes(QCs) per hour.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.83-91
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• 2011

The accuracy of forecasting is remarkably important to reduce total cost or to increase customer services, so it has been studied by many researchers. In this paper, the artificial neural network (ANN), one of the most popular nonlinear forecasting methods, is compared with autoregressive integrated moving average(ARIMA) model through performing a prediction of container traffic. It uses a hybrid methodology that combines both the linear ARIAM and the nonlinear ANN model to improve forecasting performance. Also, it compares the methodology with other models in performance for prediction. In designing network structure, this work specially applies the genetic algorithm which is known as the effectively optimal algorithm in the huge and complex sample space. It includes the time delayed neural network (TDNN) as well as multi-layer perceptron (MLP) which is the most popular neural network model. Experimental results indicate that both ANN and Hybrid models outperform ARIMA model.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.53-62
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• 2020

The maritime and port logistics industry is closely related to global trade and economic activity, especially for Korea, which is highly dependent on trade. As the largest port in Korea, Busan Port processes 75% of the country's container cargo; the port is therefore extremely important in terms of the country's national competitiveness. Port container cargo volume forecasts influence port development and operation strategies, and therefore require a high level of accuracy. However, due to unexpected and sudden changes in the port and maritime transportation industry, it is difficult to increase the accuracy of container volume forecasting using existing time series models. Among deep learning models, this study uses the LSTM model to enhance the accuracy of container cargo volume forecasting for Busan Port. To evaluate the model's performance, the forecasting accuracies of the SARIMA and LSTM models are compared. The findings reveal that the forecasting accuracy of the LSTM model is higher than that of the SARIMA model, confirming that the forecasted figures fully reflect the actual measurement figures.