• Title/Summary/Keyword: Bulk Port

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Green Port Strategies for Reducing Air Pollution in Port of Incheon (대기오염 저감을 통한 인천항의 Green Port 전략)

  • Han, Chul-Hwan
    • Journal of Korea Port Economic Association
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    • v.27 no.1
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    • pp.281-304
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    • 2011
  • In the energy-climate era, pollution emissions from port activities have a significant issue in international shipping and port community. Thus international organization such as IMO and developed countries are seeking to develop various reduction strategies against air pollution. However Korea has recently conducted several studies concerning air pollution in port industry. The main purpose of the paper is to suggest emission reduction strategies for bulk terminal in Port of Incheon, which handles large amount bulk cargoes as a gateway for the metropolitan area. For this aim, the clean air strategies of the world major ports were considered and air pollution reduction strategies were suggested. The main findings of this paper are as follows. First, the emission reduction strategies for container terminal are should be integrated based on technologies changes, operational changes and market-based measures. Second, the emission reduction strategies for bulk terminal can be effective when use innovative measures during loading, unloading and storage process such as telescopic cascade trimming chute, snake sandwich equipment, dry fog system and dome structure. Finally, investigation on actual conditions of air pollution in Korean ports and development of environmental evaluation scheme for persisting monitoring should be conducted.

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.

Supramax Bulk Carrier Market Forecasting with Technical Indicators and Neural Networks

  • Lim, Sang-Seop;Yun, Hee-Sung
    • Journal of Navigation and Port Research
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    • v.42 no.5
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    • pp.341-346
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    • 2018
  • Supramax bulk carriers cover a wide range of ocean transportation requirements, from major to minor bulk cargoes. Market forecasting for this segment has posed a challenge to researchers, due to complexity involved, on the demand side of the forecasting model. This paper addresses this issue by using technical indicators as input features, instead of complicated supply-demand variables. Artificial neural networks (ANN), one of the most popular machine-learning tools, were used to replace classical time-series models. Results revealed that ANN outperformed the benchmark binomial logistic regression model, and predicted direction of the spot market with more than 70% accuracy. Results obtained in this paper, can enable chartering desks to make better short-term chartering decisions.

A Study for the Improvement of Safety of Bulk Carriers (발크캐리어의 안전성 향상에 관한 연구)

  • 김태우;박진수
    • Journal of the Korean Institute of Navigation
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    • v.23 no.3
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    • pp.17-28
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    • 1999
  • Concerns related to the safety of bulk carriers we, most of all, the increasing number of bulk carrier accidents which amount to 425 during last 20 years; half of them are totally lost. A number of bulk tarriers are still missing. Bulk carrier safety has become an international issue since 1995. The International Maritime Organization (IMO) embarked on the legislation as a countermeasure to the increasing number of the bulk carrier accidents. The IMO discussed in the safety of bulk carriers including the strength of transverse watertight bulkheads, especially when the ship carries high density cargoes and the damage stability of bulk carriers in the flooded condition. In this study, statistics and causes of accidents of bulk carriers are analyzed in order to identify special features of bulk carrier accident and causes of the casualty. This study examines certain cases of hull collapses and severence which resulted in sinking to infer possible causes of missing ships.

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Analysis of the Transport Characteristics of Bulk Cargo in Freight Stations Located Behind Trade Ports (무역항 배후 화물철도역의 벌크화물 운송특성 분석)

  • Choi, Chang-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.6
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    • pp.47-61
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    • 2016
  • The present study analyzed the railway transport characteristics of bulk cargo flowing in and out of trade ports in South Korea. Bulk cargo transport in freight stations located behind trade ports was examined using actual flow data, and new implications were drawn accordingly. The results showed that bulk cargo volume in freight stations located behind trade ports is gradually decreasing, and it is also failing to secure a competitive edge against road transport. This downfall can be mainly attributed to the decrease in competitiveness of railway transport as well as the emergence of new trade ports that do not have lead-in track for port. Therefore, greater effort is required to strengthen the connection between new trade ports and railway freight stations.

An Efficient Mixed-Integer Programming Model for Berth Allocation in Bulk Port (벌크항만의 하역 최적화를 위한 정수계획모형)

  • Tae-Sun, Yu;Yushin, Lee;Hyeongon, Park;Do-Hee, Kim;Hye-Rim, Bae
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.105-114
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    • 2022
  • We examine berth allocation problems in tidal bulk ports with an objective of minimizing the demurrage and dispatch associated berthing cost. In the proposed optimization model inventory (or stock) level constraints are considered so as to satisfy the service level requirements in bulk terminals. It is shown that the mathematical programming formulation of this research provides improved schedule resolution and solution accuracy. We also show that the conventional big-M method of standard resource allocation models can be exempted in tidal bulk ports, and thus the computational efficiency can be significantly improved.

The development of auto Ballast Water Management Plan For Bulk Carrier. (BULK선용 자동 Ballast Water Management Plan 개발)

  • Hong, Chung-You;Kwon, Young-Sub;Kwon, Sung-Jin;Hwang, Jin-Wook;Park, Je-Woong
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.10a
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    • pp.266-271
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    • 2003
  • Many port states such as New Zealand. the USA. Australia and Canada have strict regulations to prevent ships which arrive in their port from discharging polluted ballast water which contain harmful aquatic organism and pathogens. They are notified that transfer of polluted ballast water can cause serious injury to public health and damage to property and environment. For this reason. they perceived that the ballast exchange in deep sea is the most effective method. together with submitting the ballast management plan which contains the effective exchange method. ballast system and safety consideration. In this study, we make an effort to develop optimum ballast water exchange management and in result of that. it provide more convenient and stable process to prepare ballast water management plan for Bulk Carrier.

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EXPERIMENTAL DESIGN FOR PORT INVESTMENT ANALYSIS: A CASE STUDY IN A BULK TERMINAL (항만투자분석을 위한 실험계획법 : 산물터미널에서의 사례연구)

  • Chang, Young-Tae
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.72-76
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    • 2001
  • Experimental design in simulation provides an efficient way of economizing simulation runs since a considerable number of simulation runs that originally were planned can be reduced by this approach. This experimental design method is an active area of research together with the output analysis and so no single panacea seems to exist so far. Thus, selection of techniques of experimental design and output analysis more lithely depends upon the objective of simulation analysis, budget constraint and sometimes the analysts subjective judgment. This paper attempts to describe an experimental design methodology for port investment analysis using a case study in a bulk terminal in Korea. Detailed display will be focused on simulation period, warm-up period, the number of replications needed in production runs after brief explanation on the system configuration.

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A Mixed Integer Programming Model for Bulk Cargo Ship Scheduling with a Single Loading Port

  • Seong-Cheol Cho
    • Journal of the Korean Institute of Navigation
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    • v.22 no.4
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    • pp.15-19
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    • 1998
  • This paper concerns a bulk or semibulk cargo ship scheduling problem with a single loading port. This type of ship scheduling problem is frequently needed in real world for carrying minerals or agricultural produce from a major single production zone to many destinations scattered over a large area of the world. The first optimization model for this problem was introduced by Ronen (1986) as a nonlinear mixed integer program. The model developed in this paper is an improvement of his model in the sense that nonlinearities and numerous unnecessary integer variables have been eliminated. By this improvement we could expect real world instances of moderate sizes to be solved optimal solutions by commercial integer programming software. Similarity between the ship scheduling model and the capacitated facility location model is also discussed.

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A Study on the Prediction of Fuel Consumption of Bulk Ship Main Engine Using Explainable Artificial Intelligence (SHAP을 활용한 벌크선 메인엔진 연료 소모량 예측연구)

  • Hyun-Ju Kim;Min-Gyu Park;Ji-Hwan Lee
    • Journal of Navigation and Port Research
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    • v.47 no.4
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    • pp.182-190
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    • 2023
  • This study proposes a predictive model using XGBoost and SHapley Additive exPlanation (SHAP) to estimate fuel consumption in bulk carriers. Previous studies have also utilized ship engine data and weather data. However, they lacked reliability in predicted results and explanations of variables used in the fuel consumption prediction model implementation. To address these limitations, this study developed a predictive model using XGBoost and SHAP. It provides research background, scope, relevant regulations, previous studies, and research methodology. Additionally, it explains the data cleaning method for bulk carriers and verifies results of the predictive model.