• Title/Summary/Keyword: 컨테이너처리량

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A Comparative Analysis on the Efficiency of Cargo Capacities by TEU Group According to Container Vessel Enlargement - Focusing on The Vessels Entering Terminal A and B (컨테이너 선박 대형화에 따른 TEU 그룹별 하역량 효율성 비교분석 - A, B 터미널 입항 선박을 중심으로)

  • Park, Shin-Woo;Park, Chang-Ki
    • Journal of Korea Port Economic Association
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    • v.40 no.2
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    • pp.175-189
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    • 2024
  • Following the introduction of containerized sea transportation, the size of container ships has progressively increased. While the primary objective of this enlargement is to achieve economies of scale, it significantly affects the operational environment of ports where these ships dock, raising concerns about the validity of efficiency gains from ultra large container vessels from a port operational perspective. This study evaluates the efficiency of various ship sizes from January to December 2022, utilizing internal data from the container terminals A and B located in the Busan New Port. The analysis encompasses ships affiliated with The Alliance at Container Terminal A and those associated with 2M at Container Terminal B. Key input variables considered for the study include ship size (TEU), total berth time, and loading/unloading time, with cargo handling performance serving as the only output variable. The findings indicate that larger ship sizes exhibit higher efficiency compared to smaller container ships.

A Comparative Study on the Efficiency of Major Container Ports (세계 주요 컨테이너항만의 효율성 비교 연구)

  • Son, Yong-Jung
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.131-143
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    • 2010
  • This study aims to analyse efficiencies of international main container ports. For the purpose, it selected twenty main ports based on the volume of cargo of ports recorded in Containerisation International Yearbook and conducted BCC(efficiency analysis) on them. The variables which may influence efficiency of ports were selected based on previous studies. Berth, Depth, Crane and Total area were input variables and Total TEU was an output variables. The results are summarized as follows: First, DEA-CCR efficiency of Shenchen Port(China) was 1.0, which was the most efficient poor analysed. Second, DEA-BCC efficiency of Port of Singapore, Shenchen Port(China), Ningbo Port (China), Port of Tanjung Pelepas (Malaysia) was 1.0, which was the most efficient analysed. Third, efficient scale of Shenchen Port(China) has been 1.0 for four subsequent years from 2004 to 2007, which was the most efficient analysed.

Analysis of Network Security Policy Enforcement in Container Environments (컨테이너 환경에서의 네트워크 보안 정책 집행 분석)

  • Bom Kim;Seungsoo Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.6
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    • pp.961-973
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    • 2023
  • With the changes in the modern computing landscape, securing containerized workloads and addressing the complexities of container networking have become critical issues. In particular, the complexity of network policy settings and the lack of cloud security architecture cause various security issues. This paper focuses on the importance of network security and efficiency in containerized environments, and analyzes the security features and performance of various container network interface plugins. In particular, the features and functions of Cilium, Calico, Weave Net, and Kube-router were compared and evaluated, and the Layer 3/4 and Layer 7 network policies and performance features provided by each plugin were analyzed. We found that Cilium and Calico provide a wide range of security features, including Layer 7 protocols, while Weave Net and Kube-router focus on Layer 3/4. We also found a decrease in throughput when applying Layer 3/4 policies and an increase in latency due to complex processing when applying Layer 7 policies. Through this analysis, we expect to improve our understanding of network policy and security configuration and contribute to building a safer and more efficient container networking environment in the future.

Effects of Drip Irrigation Treatment on the Quality of 4- and 8-year-old Prunus × yedoensis Matsum. Seedlings in a Container Nursery (컨테이너 재배에서 점적 관수처리가 왕벚나무 4, 8년생 묘목의 품질에 미치는 영향)

  • Yoon, Jun-Hyuck;Jin, Eon-Ju;Bae, Eun-Ji
    • Journal of Korean Society of Forest Science
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    • v.111 no.3
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    • pp.394-404
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    • 2022
  • This study was conducted to optimize the amount of drip irrigation for Prunus×yedoensis Matsum., one of the major medium-sized landscaping trees used mainly for streetscapes and as ornamentals. The experiment was conducted in a container nursery, where we assessed the growth and physiological characteristics of 4- and 8-year-old seedlings watered at different rates (x) by a drip irrigation system. The relative growth rates (based on height and root collar diameter (RCD) measurements) were highest at 288 and 416 L/year/tree for the 4- and 8-year-old containerized seedlings, respectively. These age and treatment combinations also produced significantly different dry weight and seedling quality index values, indicating good growth. The two age groups had significantly different total root lengths, root diameters, and root volumes under these respective irrigation treatments. In addition, the 4-year-old containerized seedlings irrigated at 288 L/year/tree and the 8-year-old containerized seedlings irrigated at 416 L/year/tree had the highest activations in their chlorophyll contents. Overall, the results (differences in irrigation amounts affect the seedlings morphological relative growth, biomass growth, seedling quality, and physiological reaction) indicate that the optimal irrigation amounts for container-grown Prunus×yedoensis are 288 L/year/tree for 4-year-old (RCD class, 3cm) and 416 L/year/tree for 8-year-old (RCD class, 7 cm) containerized seedlings.

Deployment and performance measurement of containerized collaborative research platform in Science DMZ environment (Science DMZ 환경에서의 컨테이너 기반 협업연구 플랫폼 구성 및 성능 측정)

  • Hong, Wontaek;Lee, Sangkwon;Kim, Kihyeon;Moon, Jeonghoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.59-61
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    • 2021
  • 고성능 네트워크를 기반으로 하는 과학응용 협업연구 환경에서 대용량 데이터의 고속 전송을 위해 활용되고 있는 전용의 데이터 전송 노드는 이용률을 감안하여 연산을 위한 부수적인 목적을 위해 활용이 가능하다 본. 논문에서는 이러한 분산된 데이터 전송 노드들을 활용한 컨테이너 기반 협업연구 플랫폼의 구성 사례를 소개하고 해당 플랫폼 상에서 분산 학습을 실험하고 소요시간 측면에서 성능을 측정하여 제시한다.

A Study on Operation Efficiency of Container Port by Comparison of Similar Ports (동종 항만군 분류를 통한 컨테이너항만의 운영효율화 방안에 관한 연구)

  • 정태원;곽규석
    • Journal of Korean Society of Transportation
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    • v.19 no.1
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    • pp.7-16
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    • 2001
  • The Principle objective of this paper is to introduce a systematic approach to identifying similar container ports in Asia. For this, it analyses data on port facilities, port facility availability, port service level total container throughput, and economic index, by using Multidimentional Scaling (MDS) method. Based on the analysis it identifies five groupings of similar container ports in Asia within which Port comparison can be justifiably made, evaluates a present position of five groupings on the basis of factors used to compare container ports in Asia ; and finally proposes policy implications for operation efficiency of Pusan container port in comparison with Kaohsiung Port. The major implication is that both the Kaosuing and the Pusan port have to strengthen port facility to attract more traffic, and particularly, Pusan Port has to reinforce the number of berth, total length of berth. and yard areas.

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A study on Securing Port Competitiveness through analysis of General Cargo Volume at Busan Port (부산항의 일반 화물 물동량 분석을 통한 항만 경쟁력 확보에 관한 연구)

  • Shin, Hak-Sung;Cho, Sang-Lee
    • Journal of Korea Port Economic Association
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    • v.39 no.4
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    • pp.295-308
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    • 2023
  • Busan Port, as Korea's representative trading port, handles a variety of port cargo from bulk cargo to container cargo. Busan Port is currently functioning as a container specialized port for North Port and Busan New Port, and Gamcheon Port is also handling container cargo mainly in bulk cargo. This study intends to examine the overlapping cargoes and specialized cargoes between these ports and Busan Port as the amount of import and export cargoes in ports designated as trade ports in Korea is increasing. In order to understand the characteristics of the major cargoes handled in the port, the quantitative change is confirmed through the total cargo volume of major domestic ports and the trend of changes in import/export cargo between Busan Port and major ports is analyzed. There are many specialized investigation methods, but as the most basic method, we will examine quantitative changes and causes by simply examining the data for 10 years as the amount of change by cargo. In addition, the causes of these fluctuations should be reclassified into domestic and foreign causes by identifying changes in customers in different ports and shipping volumes, changes in consumption areas, and transshipment volumes. Through the analysis of the major cargo volume of each port, the characteristics and fluctuation trends of major cargo handled in Busan Port and other ports are identified, and the competitive cargoes of each port are verified. Through this, the characteristics and competitiveness of the port are inferred, and implications for the cargo volume of Busan Port and future countermeasures are suggested.

A Study on the Forecasting of Container Volume using Neural Network (신경망을 이용한 컨테이너 물동량 예측에 관한 연구)

  • Park, Sung-Young;Lee, Chul-Young
    • Journal of Navigation and Port Research
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    • v.26 no.2
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    • pp.183-188
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    • 2002
  • The forecast of a container traffic has been very important for port and development. Generally, Statistic methods, such as moving average method, exponential smoothing, and regression analysis have been much used for traffic forecasting. But, considering various factors related to the port affect the forecasting of container volume, neural network of parallel processing system can be effective to forecast container volume based on various factors. This study discusses the forecasting of volume by using the neural, network with back propagation learning algorithm. Affected factors are selected based on impact vector on neural network, and these selected factors are used to forecast container volume. The proposed the forecasting algorithm using neural network was compared to the statistic methods.

부산신항 ITT 도입 평가요소에 관한 연구

  • Kim, Hwan-Seong;Jo, Min-Ji;Kim, Byeong-Su;Kim, Jong-Won;Lee, Seung-Pil
    • 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.

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An Analysis of Efficiency of Container Terminal Companies in Gwangyang, Busan and Incheon Port (컨테이너터미널 운영사별 효율성 분석)

  • Kim, Jae-Young;Chin, Hyung-In;Kim, Soo-Man
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.187-205
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    • 2011
  • In considering the size of container logistic flow of Korea, one-port as a hub port is desirable in Busan Port, but as development of Busan Port and Gwangyang Port began as two-ports, they are good as mega hub ports. In case when ports of other regions such as Incheon Port are additionally developed, it is very likely that they become feeder ports rather than mega hub ports. As capital area uses Incheon Port and Pyeongtaek Port for transportation, fierce competition arises due to excessive facilities of terminal companies and it is not easy to be profitable. Therefore, it is more profitable to develop regional hub ports centering on near-sea routes of Korea China Japan rather than local ports such as Incheon Port and Pyeongtaek Port for intensive trade and transportation in the capital area. To mitigate excessive competition between container terminal companies, we need administrative guidance to maintain adequacy through comparing tariffs between ports of Japan and China which are in competitive relations with Korean ports. This study analysed efficiency of container terminal companies in Gwangyang Port, Busan Port and Incheon Port using data for five years from 2006 to 2010. As analytical variables, length of quay, floor area of yard, the number of cranes and employees were analytical variables and a total freight volume was a productive factor.