• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.443-449
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• 2004

In this paper, we established a simulation model for transport vehicle that carries the container transportation between apron and yard block on automated container terminal with a perpendicular yard layout. Usually, the efficiency of container terminal is evaluated by productivity of container cranes at apron, and though there are enough support of transport vehicles and yard cranes, can improve the productivity of container cranes. Especially, transport vehicle is very important factor in productivity of container cranes and has variable work productivity according to loading and unloading situation of container cranes. Therefore, a method that can estimate work productivity of transport vehicle efficiently is required. We analyzed work productivity of transport vehicle using simulation model that has state transition of transport vehicle. We performed various simulation experiment and analyzed work productivity of transport vehicle and calculated the required number of transport vehicle by container crane additionally.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.297-302
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• 2004

This paper analyzed productivity of quay cranes on container terminal that have perpendicular yard layout block. In most existing container terminals, quay cranes of single trolley type are used to loading and unloading containers, but quay crane productivity of these type has many limitation about large size containership. For these reasons, recently quay cranes of various type that mn improve productivity are developed and as the representative example, dual trolley, double trolley, supertainer are developing. These cranes are realized that very high productivity bemuse their cycle time is short more than existent single trolley quay crane. Therefore, we analyzed productivity of these cranes that are realized by next generation crane alternatives and as result qf this research, mechaniml productivity by cycle time and net productivity by simulation were measured.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.422-424
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• 2011

오늘날과 같이 급속히 변화하는 기업경영 환경에서 조직이 생존하고 번영하기 위해 기업의 경영 성과를 향상시켜야 하고 이를 위해서는 생산성 또는 효율성을 꾸준히 평가할 필요가 있다. 본 연구는 평가대상의 상대적 효율성을 측정하기 위해 개발된 DEA(Data Envelopment Analysis) 방법론을 이용하여 국내 컨테이너터미널 운영사의 경영 효율성을 비교 분석함으로써 2007년부터 2009년까지의 터미널 운영사의 효율성 수준을 파악해 보았다. 연구결과 2007년부터 2009년까지 점차적으로 영업이익률이 줄어드는 현상이 나타나는데, 이것은 산출변수에는 큰 변화가 없는 반면 투입변수는 지속적으로 증가하고 있다는 것을 알 수 있다. 이것은 동 기간 사이에 컨테이너터미널 업체수는 증가하였음에도 불구하고 물동량의 증가가 미미하여, 물동량 확보를 위한 터미널 업체들간의 경쟁이 치열해졌다는 것을 알 수 있다. 이러한 경쟁은 하역요율의 단가하락 문제를 발생시켰으며, 이로 인해 업체들의 경영악화가 가속되었다는 것을 의미한다. 본 연구 결과는 물동량 변화에 따른 투입변수의 최적화를 통해 컨테이너터미널 운영사의 경영효율성을 제고하는데 기여 할 것으로 판단된다.

• Journal of Navigation and Port Research
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• v.42 no.3
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• pp.217-226
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• 2018

International major container terminals are trying to expand automation facilities in order to dominate the competition and grow as central harbors. Recently, system design and development were put underway to fully integrate automation systems in container terminals. This is because it can focus on improving the efficiency of the yard operations in container terminals and facilitates integration with other container terminal operation processes. Automation in the container terminal business today is essential to better serve customers and improve profitability. Real-time position and status of container handling equipment (CHE) have been required for more efficient terminal operations and consequently higher productivity. This study examined the real-time location and status of the container terminal automation equipment using DGPS in container terminals, and reviewed the components and functions of the container terminal automation yard equipment systems that developed, applied, and operated the automation systems. In addition, this study compared the existing yard system and the automation yard system and presented application methods. Also, the results revealed that the productivity of the container terminal and the efficiency of the transportation equipment can be further increased when the optimal yard automation transportation equipment system is used to efficiently operate the transportation equipment, which is the core equipment of the container terminal.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.891-897
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• 2004

This paper provided a simulation model for transport vehicles that carry container from the ship to yard block and vice versa at automated container terminal with a perpendicular yard layout. Usually, the efficiency of container terminal is evaluated by the productivity of container cranes at apron, and the stevedoring system for transport vehicles and yard cranes should be supported enough to improve productivity of container cranes. Especially, transport vehicle is very important factor in the productivity of container cranes and the performance of transport vehicles are changed according to the number and traveling type of vehicles. For these reason, a method that can estimate productivity of transport vehicle is required Finally, we developed the simulation model to analyze the productivity of transport vehicle and presented the productivity of container cranes for a varying operation of transport vehicles.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.137-142
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• 2012

This paper proposes a software development guidance and an evaluation index for the productivity related to Spring 2.5 and EJB 3.0 with same lightweight container architecture. Spring is a known successful open source standard model for lightweight container architecture. EJB in an enterprise environment as a standard framework is most commonly used in production. However, there is no comparison research about the performance of Spring 2.5 and EJB 3.0 Framework with same identical platform. Quantitative analysis is supported as a part of LoC(Line of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of the software. In this study, the development platform environment based on the same pilot system Spring 2.5 and EJB 3.0 framework is in the design and implementation. In addition, comparison and standardization of software development productivity assessment is to provide guidance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.72-73
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• 2023

As containerized maritime transport began in earnest, the size of container ships has steadily increased, and recently, the operation of 24,000 TEU-class vessels has become regular. However, concerns about the efficiency and productivity of such mega container ships from a port operational perspective have continued to be raised. The 10th Busan International Port Conference requested an in-depth study on the trends of container ship enlargement by analyzing the order status of ultra-large container ships from major global liners. Generally, the factor that drives the upsizing of ships is the realization of economies of scale that lowers transportation costs per TEU, which leads to a higher level of cost reduction per unit transportation compared to the increase in fuel consumption due to transporting large amounts of cargo with a single ship. However, it is necessary to examine whether this trend of container vessel enlargement is feasible for port operations. To this end, this study compares and analyzes the productivity and efficeiency of different ship sizes to evaluate the effect of ship size on port operations.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.527-534
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• 2012

In order to achieve sustainable growth and gain competitive advantages business performance should be monitored regularly by a company. In the port industry container terminal operators are facing growing competition. A large scale of new container terminals are constructed and the number of new container terminal operators are increasing. Container shipping lines are gaining bargaining power against terminal operators in terms of negotiating terminal usage. The competitive environments result in reduced cargo handling charges and poor financial performance of container terminal operators. It becomes very important to examine how efficiently container terminal operators are operating their terminals and how to improve their performance. This paper investigates the measurement efficiency for container terminal operators in Korea using Data envelopment analysis(DEA) of DEA-CCR and DEA-BCC Model. This paper finds out which container terminal operators are inefficient and how to improve their management efficiency.

• Journal of Navigation and Port Research
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• v.32 no.6
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• pp.465-471
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• 2008

As the excessive competition between container terminals has been deepening, not only productivity, but also cost economic of the terminals has been raised. With regard to this, the competitiveness of the terminals is limited because of inefficiency operation of transfer crane(T/C) which needs large amount of energy consumption. Therefore, it is possible that the improvement in the T/C operation leads to saving cost for resources and energy as well as increasing the productivity of the terminals. This study provides 'the K-Means Clustering based Optimized Decision Model for Transfer Crane Operation', referring to 'RFID & RTLS based Port Logistics Initiative' of Ministry of Land, Transportation and Maritime Affairs and estimates the efficiency through simulating.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.1-20
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• 2016

The objective of this study was to select world top 20 major container terminals that belong to Korea and China as comparison units to analyze their efficiency and productivity trend. Super Efficiency Data Envelopment Analysis(SE-DEA) and Malmquist Productivity Index(MPI) models were applied to this study. Compared with previous studies, we narrowed down the scope of the comparison units to terminals and conducted more detailed analysis to present more meaningful implications to the actual operation. The different result from existing studies, SE-DEA analysis implied that the major terminals of Busan New Port showed similar efficiency and productivity with China's terminals. In MPI analysis, the average index of Korean and China's terminals is 1.051 and 1.049. The analysis indicates that the productivity was improved 5.1% and 4.9% annually. From 2012 to 2015, the average terminal TCI index of South Korea and China were 1.032 and 1.0318-the main factor which influences MPI. This means improving productivity mainly rely on investment in new equipment and technology upgrades rather than improve operational efficiency over the past few years. Future management decisions should consider more aggressive marketing to increase the volume and improve operational efficiency to enhance productivity. Further research should apply the overall efficiency of the methodology considering the financial diversification, terminal capacity, service levels, and other factors.