• Title/Summary/Keyword: 반출항

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컨테이너 터미널 반출입 트럭 TAT(Turn Around Time) 예측을 위한 항만물류 빅데이터

  • 양현석;송향섭
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.302-304
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    • 2022
  • 항만 서비스 의미가 선박의 양적하뿐만 아니라 육로를 통해 반출입되는트레일러의 하역도 포함 디지털프랜스포메이션가속화에 따라 IoT, 빅데이타, 인공지능을 활용한 항만의 생산성 증대 방안으로 선박의 TAT뿐만 아니라 항만 반출입트럭TAT 감축의 중요성도 같이 높아지고 있음 컨테이너 이송 트럭의 TAT에 대한 정확한 측정과 TAT에 영향을 미치는 요인의 규명은 컨테이너 운송에 중요한 역할을 한다고 할 수 있음 따라서 본 연구의 목적은 IoT 기술로 수집된 빅데이터를 활용해 실질적인 차량 반출입시간을 분석한 새로운 항만 반출입차량 TAT 데이터와 기후, 부두 실적, 기항 선박 사이즈, 시간대 등 다양한 항만물류빅데이터를이용하여 항만 반출입차량 TAT에 영향을 미치는 요인을 분석하고 나아가 항만물류빅데이터분석을 위한 빅데이터 수집 방법을 연구하는데 목적이 있음

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Variation Operating Environment Analysis of Port Radiation Monitor (항만 방사선감시기의 검색환경 분석 연구)

  • Kim, Bo-Gyeong;Kim, Sang-Yeol;Park, Ho;Lee, Ji-Yeon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2017.11a
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    • pp.54-55
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    • 2017
  • 본 연구는 항만에 설치된 방사선감시기의 검색기능 극대화를 위하여 방사선감시기의 검색환경을 분석하고 물류흐름 관점에서 운영환경 개선방안 도출을 목적으로 한다. 본 연구 목적 달성을 위해 원자력안전위원회에서 제시한 방사선 위험화물의 수입 물동량 분석을 수행하여 방사선감시기 설치 타당성을 확보하였다. 문헌조사와 현장 전문가 인터뷰를 통해 항만의 방사선감시기 설치환경 및 운영에 따른 물류 장애요인을 분석하였다. 또한, 항만 내 방사선감시기 설치가 가능한 위치를 3단계(본선하역작업, 야드 이송 및 적재 작업, 게이트 반출)로 구분하여 각 위치별 장 단점을 분석하고 최적의 감시기 설치 위치를 도출하였다. 연구결과, 감시기 설치 위치 단계별 비용, 물류흐름, 관리 운영적 측면을 고려하였을 때, 게이트 반출 단계가 방사선 감시기 설치를 위한 최적위치로 적합한 것으로 확인하였다. 방사선감시기의 운영최적화 방안으로는 첫째, 반출 게이트 내부의 2차 검색부지 확보를 통해 게이트 통과 전 방사선감시기를 통한 화물 검색이 이루어질 수 있도록 해야 한다. 둘째, 화물인도지시서(Delivery Order: D/O)를 활용한 신속한 화물정보 파악을 통해 물류흐름의 방해요인을 제거 할 수 있음을 알 수 있다.

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A Study on the Prediction of Gate In-Out Truck Waiting Time in the Container Terminal (컨테이너 터미널 내 반출입 차량 대기시간 예측에 관한 연구)

  • Kim, Yeong-Il;Shin, Jae-Young;Park, Hyoung-Jun
    • 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.

Prediciton Model for External Truck Turnaround Time in Container Terminal (컨테이너 터미널 내 반출입 차량 체류시간 예측 모형)

  • Yeong-Il Kim;Jae-Young Shin
    • Journal of Navigation and Port Research
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    • v.48 no.1
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    • pp.27-33
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    • 2024
  • Following the COVID-19 pandemic, congestion within container terminals has led to a significant increase in waiting time and turnaround time for external trucks, resulting in a severe inefficiency in gate-in and gate-out operations. In response, port authorities have implemented a Vehicle Booking System (VBS) for external trucks. It is currently in a pilot operation. However, due to issues such as information sharing among stakeholders and lukewarm participation from container transport entities, its improvement effects are not pronounced. Therefore, this study proposed a deep learning-based predictive model for external trucks turnaround time as a foundational dataset for addressing problems of waiting time for external trucks' turnaround time. We experimented with the presented predictive model using actual operational data from a container terminal, verifying its predictive accuracy by comparing it with real data. Results confirmed that the proposed predictive model exhibited a high level of accuracy in its predictions.

컨테이너 통합검색정보 표준화 연구

  • 서종희;이준호;박순호
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.227-229
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    • 2023
  • 해상을 통해 반출입되는 항만 컨테이너는 선박과 항만에서의 안전사고를 예방하기 위해 국제해상위험물규칙의 규정을 준수하였는지 검사하고 컨테이너의 안전성을 점검한다. 하지만 지금까지의 컨테이너 및 위험화물의 검색은 대부분 사람에 의한 수동 운용으로 이루어지고 있어 향후 자율운항선박의 도래에 따른 자동화 항만을 위해서는 자동화된 검색 기술과 더불어 대상 컨테이너의 무인 자동화 검색이 가능하도록 운영이 될 필요가 있으며, 보다 진보적이고 효과적인 컨테이너 검색기술을 활용하기 위해 컨테이너 검색정보 표준을 개발하여 컨테이너 보안검색의 효율성 및 검색 활동에 대한 업무 비효율적인 문제를 해결하고자 한다.

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컨테이너 터미널의 내륙운송 효율화를 위한 플랫폼 개발 모델 구축

  • 황제호;조동현;김시현
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.123-125
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    • 2023
  • 4차 산업혁명의 가속화에 따라 해운 항만 산업 분야 또한 정보적 측면에서 빅 데이터에 대한 업종별 통합과 공유를 통해 연계 산업 간 산업활동 효율화를 위한 노력이 요구된다. 현재 물류 분야에 다양한 플랫폼들이 도입되고 있지만 대부분 화물운송업 또는 창고 중개업 분야에 편중되어 있다. 항만산업의 경우 코로나 펜데믹 이후 발생한 컨테이너 반입 제한 및 장치율 증가 등에 따라 운송사와 컨테이너터미널 간 갈등이 지속적으로 유발되는 상황이 발생되었다. 이에 따라 본 연구는 플랫폼을 활용한 컨테이너터미널과 운송사 간 플랫폼 개발의 필요성을 인지하고 상호 기업 간 연계 효율성을 높일 수 있는 방안을 모색하였으며 산업 관계자인 컨테이너터미널 운영사, 운송사, 포워더 업종 종사자들을 대상으로 설문지 기반 실증 분석을 수행하였다. 결과적으로 EFA를 통해 추출된 14가지 요인으로 IPA 분석을 수행한 결과 1사분면(사용 용이성, 보안성, 정보 정확성, 정보 적시성, 차량 반출/반입정보, 공컨테이너 반입/반출 정보, 풀컨테이너 반입/반출정보)으로 품질에 대한 지속적인 개선이 수행되어야 하며 2사분면(APP 시스템 품질)에 대한 고려가 종합적으로 수행되어야 함이 도출되었다. 또한, 플랫폼 개발의 주체와 이용자의 참여 유도가 필요하며 상호 이해관계자 간 효율적인 연계와 효율화를 위한 인식 구조 개선이 필요하다고 나타났다. 연구결과는 향후 컨테이너터미널과 내륙운송의 효율적인 연계를 위한 플랫폼 구축에 중대한 시사점을 제공한다.

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A Study on the Effect of On-Dock System in Container Terminals - Focusing on GwangYang Port - (컨테이너터미널에서 On-Dock 시스템 효과분석에 관한 연구 - 광양항을 중심으로 -)

  • Cha, Sang-Hyun;Noh, Chang-Kyun
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.45-53
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    • 2015
  • These days Container Terminals are focusing on increasing the quantity of containers and shipping lines choose Terminals by referring to the key elements of a terminal to perform the overall operation the fastest such as the location of the terminal, discharging ability, keeping environment, and other elements related to shipping in general. Container terminal is able to offer On-Dock service has become an important factor for shipping lines to choose that terminal. In this paper, we propose an algorithm for On-Dock system work algorithm, the algorithm Empty container exports, Full Container algorithm and The aim of our study focus on both container's gate out time and search for the effective terminal operation which is using the general On-Dock system through several algorithm like container batch priority, gate in and out job priority and empty container yard equipment allocation rule based on the automatic allocation method and manual allocation scheme for container. Gathering these information, it gives the priority and yard location of gate-out containers to control. That is, by selecting an optimum algorithm container, container terminals Empty reduces the container taken out time, it is possible to minimize unnecessary re-handling of the yard container can be enhanced with respect to the efficiency of the equipment. Operations and operating results of the Non On-Dock and On-Dock system is operated by the out work operations (scenarios) forms that are operating in the real Gwangyang Container Terminal derived results. Gwangyang Container terminal and apply the On-Dock system, Non On-Dock can be taken out this time, about 5 minutes more quickly when applying the system. when managing export orders for berths where On-Dock service is needed, ball containers are allocated and for import cargoes, D/O is managed and after carryout, return management, container damage, cleaning, fixing and controlling services are supported hence the berth service can be strengthened and container terminal business can grow.

Dynamics of Global Liner Shipping Network and Strategy of Korean Ports (국제 컨테이너 선대 운항네트워크 변화와 우리항만의 전략)

  • Park, Byungin
    • Journal of Korea Port Economic Association
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    • v.34 no.3
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    • pp.133-158
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    • 2018
  • The role and ratio of national vessels in the global container shipping market have reduced significantly due to the bankruptcy of Hanjin Shipping in early 2017. All import-export companies, as well as container ports in Korea, are facing a crisis. The Trump's tariff and trade battles have had a negative impact on the increase in the North American cargo. However, Chinese and Japanese container shipping companies, which merged with domestic container shipping companies, and mega carriers such as Maersk and CMA CGM have benefited from the decline in shipping supplies due to the collapse of Hanjin Shipping, the world's 10th largest container carrier in Korea. The import/export freight trade in Korea is witnessing the increasing stronghold of foreign carriers. This scenario is expected to weaken Korea's negotiation powers with overseas shipping companies in domestic ports, such as Busan and Kwangyang, thereby making it more challenging to attract shipping carriers. This study compares the global container-shipping network in 2007 and 2017 by combining the network topology of the social network analysis and the economics of the liner shipping connectivity index (LSCI) and the container port connectivity index (CPCI) analysis. The findings of this study are that the role of the ports across the world can be identified, and CPCI has a high correlation with the centrality index and freight volume data. These findings can contribute toward the utilization of the meaning of the necessary centrality index without an additional centrality analysis. This study can be applied not only to the call strategy of container carriers but also to the alliance and development strategy of Korean ports.

Evaluating Global Container Ports' Performance Considering the Port Calls' Attractiveness (기항 매력도를 고려한 세계 컨테이너 항만의 성과 평가)

  • Park, Byungin
    • Journal of Korea Port Economic Association
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    • v.38 no.3
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    • pp.105-131
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    • 2022
  • Even after the improvement in 2019, UNCTAD's Liner Shipping Connectivity Index (LSCI), which evaluates the performance of the global container port market, has limited use. In particular, since the liner shipping connectivity index evaluates the performance based only on the distance of the relationship, the performance index combining the port attractiveness of calling would be more efficient. This study used the modified Huff model, the hub-authority algorithm and the eigenvector centrality of social network analysis, and correlation analysis for 2007, 2017, and 2019 data of Ocean-Commerce, Japan. The findings are as follows: Firstly, the port attractiveness of calling and the overall performance of the port did not always match. However, according to the analysis of the attractiveness of a port calling, Busan remained within the top 10. Still, the attractiveness among other Korean ports improved slowly from the low level during the study period. Secondly, Global container ports are generally specialized for long-term specialized inbound and outbound ports by the route and grow while maintaining professionalism throughout the entire period. The Korean ports continue to change roles from analysis period to period. Lastly, the volume of cargo by period and the extended port connectivity index (EPCI) presented in this study showed a correlation from 0.77 to 0.85. Even though the Atlantic data is excluded from the analysis and the ship's operable capacity is used instead of the port throughput volume, it shows a high correlation. The study result would help evaluate and analyze global ports. According to the study, Korean ports need a long-term strategy to improve performance while maintaining professionalism. In order to maintain and develop the port's desirable role, it is necessary to utilize cooperation and partnerships with the complimentary port and attract shipping companies' services calling to the complementary port. Although this study carried out a complex analysis using a lot of data and methodologies for an extended period, it is necessary to conduct a study covering ports around the world, a long-term panel analysis, and a scientific parameter estimation study of the attractiveness analysis.