• 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.

• Journal of Navigation and Port Research
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• v.34 no.3
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• pp.235-242
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• 2010

In recent years, the busan port is now facing a serious crisis. Exterally, though worldwide economics depression is a serious factor, cuttthroat competition between north port and new port since new port open lead to decrease terminal profitability and busan port image. The essential cause is crowed with terminal operators. therefore, This paper empirically analyze the container terminal integration factor solving busan port problem affecting the competitiveness performance. According to research results, integration between operators will be to acomplish global terminal, and so, contribute to increase service power, port productivity, cargoes and to be hub-port at the north-east asia. These results show political suggestions for importance of repid integration to improve busan port's competitiveness.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.59-67
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• 2012

This study shows how the logistics capability of container terminal impacts with service quality and customer response. Result of this study would be utilized in marketing strategy for container terminal. Sample design is based on shipping companies which are registered in Korea Shipowners' Association and Korea Shipmanagers' Association from Dec. 5 through 23 in 2011. And total of 243 questionnaires are collected through a personal visit. The result of empirical analysis, management capability of logistics capability factor which have an effect on service quality and customer response is the biggest influence to them. At the same time, Sympathy of service quality factor which have an effect on customer response is the biggest influence to it. Therefore, customers' requirements would be analyzed specifically when loading and unloading plans are devised in container terminal, and based on customers' requirements, best customer service would be provided.

• Journal of Navigation and Port Research
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• v.45 no.6
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• pp.314-324
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• 2021

Competition between ports around the world is intensifying to attract transshipment cargo. However, recently, there have been concerns about the departure of transshipment cargo volume at Busan Port, such as the lifting of the cabotage policy in China's shipping sector and the implementation of a safe fare system. In terms of operation, terminal congestion and vehicle waiting time are seriously occurring due to imbalance in the transshipment volume of each terminal and vehicles concentrated in a specific time period. In this paper, we propose a method of inter-terminal transportation (ITT) using buffer space to solve the problem caused by inefficient ITT systems and presented a mixed integer programming (MIP) for the problem. The effect of using the buffer space was analyzed for various work volumes and capacity fluctuation ranges by applying the terminal congestion pattern and ITT vehicle in/out pattern based on the Busan New Port data.

• Journal of Navigation and Port Research
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• v.33 no.8
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• pp.595-602
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• 2009

The aim of this study is to identify the difference of the customer satisfaction before and after establishment of Busan Port Authority with focus on container terminals in Busan Port. As a result, the customer satisfaction varies according to customer types, and it has been changed followed by container port environment. Therefore suitable strategies have to establish, i.e. berth number for large shipping company, connectivity for feeder company, and activity of customer attraction for terminal operating company.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.331-336
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• 2004

In order to strengthen the competitiveness of port against calling for the huge vessel and reducing the shipping service time, the productivity of container terminal must be improved. This productivity variously results according to the kinds of productivity evaluation model, input elements like yard, equipment, employee, facility, etc,. But, it is discussed that the productivity is measured by partial productivity evaluation model or general input elements. Therefore, we measured for the productivity of the container terminal using the Developed the data Envelopment Analysis (DEA), which is developed in order to evaluate the relative efficiency of decision making units - it's difficult to clear cause and effect between input and output. We measured the whole productivity of container terminal in Busan according to decision of the correct input elements. And we investigated the change of the productivity measurement result according to input elements, presents more accurate productivity evaluation model in container terminal.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.344-350
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• 2022

Due to the increase in container cargo volume, the congestion of container terminals is increasing and the waiting time of gate in-out trucks has significantly lengthened at container yards and gates, resulting in severe inefficiency in gate in-out truck operations as well as port operations. To resolve this problem, the Busan Port Authority and terminal operator provide services such VBS, terminal congestion information, and expected operation processing time information. However, the visible effect remains insufficient, as it may differ from actual waiting time.. Thus, as basic data to resolve this problem, this study presents deep learning based average gate in-out truck waiting time prediction models, using container gate in-out information at Busan New Port. As a result of verifying the predictive rate through comparison with the actual average waiting time, it was confirmed that the proposed predictive models showed high predictive rate.

• Journal of Navigation and Port Research
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• v.40 no.3
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• pp.139-146
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• 2016

Due to the continuous increasement of the container cargoes, each container port market has been growing as well. Moreover, the competition among container terminal operators located in the same port is also growing in order to attract more container cargoes. This paper looked into the market structures, market conducts and market performances of container ports in Busan and Shanghai. The index which has been most widely used to measure market structure, the Hirschman-Herfindahl Index (HHI), is computed by squaring each supplier's market share, then adding the squared shares. This paper estimated the market performance as profitability (PCM, ROA), growth (total TEU, rate of the increasement of TEU) and examined the effects of the HHI on the profitability and growth in a container terminal operators in Korea and China. The major findings of this study is that the market structure has effects on market performance in Busan port (total TEU) and Shanghai port (PCM, ROA and total TEU). As a result of analysing this study, market structure has an effect on market performance in Busan and Shanghai port, but the power of influence can be changed by market concentration index and various market conduct of companies.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.75-91
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• 2010

The aim of this study is to analyze current level of knowledge management(KM) performance in major container terminals. To achieve this aim, the evaluation criteria and KM performance index from pervious research were adopted. and current levels of KM performance of four leading container terminal operators which is located in Busan port were measured. The results firstly showed that average of KM level of these terminal operators was 67.7. And also, from the results of data analysis, it revealed that the weak point of KM in Korean leading terminal operators is official system and programs such as incentive policies, learning programs, and IT support systems for organizational knowledge sharing and knowledge codification.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.131-132
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• 2019

부산항 신항은 2018년도 기준으로 컨테이너 14,559천TEU를 처리하였으며, 환적은 58.89%을 점유하고 연평균 6.41% 증가되고 있다. KMI 2017년도 물동량예측량의 연평균 증가율을 적용하면 부산항 신항의 환적화물량은 2030년에는 12,326천TEU에 이를 것으로 전망된다. 아울러, 환적화물 중에서 타부두 환적물량은 2018년도 기준 26.3%이며 총 신항 물동량대비 15.51%에 이르고 있다. 이러한 증가추세를 고려하면 2030년 타부두 환적물량은 3,080천만 TEU에서 3,600천TEU에 이를 것으로 전망된다. 한편, 타부두 환적물량 증가에 따른 부두간 컨테이너 이송량이 증가되고 있으며, 이러한 화물 증가량은 배후 임항도로의 정체를 초래를 야기시키어 항만 경쟁력을 약화시키는 원인으로 작용된다. 본 연구에서는 부산항 신항에서 타부두 환적을 위한 전용시스템의 도입 평가요소 우선순위에 대하여 터미널 운영사, 선사, 항만공사 및 관련 전문가에 대하여 설문을 실시하여 도출하였다. ITT 도입 평가요소 항목으로서 생산성, 안정성, 투자효율성, 운영효율성, 정책부합성에 대하여 검토하였으며, 각 하위 평가요소로서는 각각 3개씩에 대하여 총 15개의 하위요소에 대하여 평가를 실시하였으며, 이를 통하여 항후 부산 신항의 ITT 도입시 평가 요소로 활용될 수 있을 것으로 기대한다.