• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2000.11a
• /
• pp.185-195
• /
• 2000

This pacer studied on the lateral motion and yaw motion of the gantry crane which is used for the automated container terminal with two driving wheel types. Though several problems are occcurred in driving of gantry crane, they are solved by the motion by the operators. But, if the gantry crane is unmanned, it is automatically controlled without any operation. There are two types, cone and flat t y pin driving wheel shape. In cone type, lateral vibration and yaw motion of crane are issued. In flat type, the collision between wheel-flange and rail or the fitting between wheel-flanges and rail is issued. Especially, the collision between wheel-flange and rail is a very critical problem in driving of unmanned gantry crane. To bring a solution to the problems, the lateral and yaw dynamic equations of the driving mechanism of gantry crane with two driving wheel types are derived. Then, we investigate the driving characteristics of gantry crane. And this study used PD(Proportional-Derivative) Controller to control the lateral displacement and yaw angle of the gantry crane. The simulation result of the driving mechanism using the Runge-Kutta Method is presented in this paper.

• Journal of Navigation and Port Research
• /
• v.40 no.6
• /
• pp.421-430
• /
• 2016

In this study, a gate simulation model was developed to reduce the truck waiting time for trucking companies servicing container terminals. To verify the developed model, 4 weeks of truck gate-in/gate-out data was collected in December 2014 at the Port of Busan New Port. Also, the existing gate system was compared to the proposed gate system using the developed simulation model. The result showed that based on East gate-in, a maximum number of 50 waiting trucks with a maximum waiting time of 120 minutes. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-in, the maximum number of waiting trucks was 17 and the maximum waiting time was 34 minutes in the existing gate system. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-out, the maximum number of waiting trucks was 11 with a maximum waiting time of 5.5 minutes. With the proposed system the maximum number of waiting trucks was 9 with a maximum waiting time of 4.4 minutes. This developed model shows how many waiting trucks there are, depending on the gate-in/gate-out time of each truck. This system can be used to find optimal gate system operating standards by assuming and adjusting the gate-in/gate-out time of each truck in different situations.

• Journal of Navigation and Port Research
• /
• v.29 no.6 s.102
• /
• pp.573-581
• /
• 2005

The outbound containers in a container terminal are classified into a few groups by their weights and stacked separately in a yard for easy and efficient handling. In order to maintain the balance of a ship during loading, containers of heavier weight groups should be fetched out of a yard and loaded onto the ship before those of lighter weight groups. However, the weight information used to determine the weight group is usually imprecise. Therefore stacks will actually be filled with mixture of different weight groups and rehandlings are unavoidable during loading operation. This paper presents a method for estimating the number of rehandlings caused by imprecise information and a scheme for generating a simple but efficient slot assignment rule. Experiments have shown that a rule generated by the proposed method can reduce the number of rehandlings by about $20\%$ compared to the traditional slot assignment method which stacks only the containers of the same weight group in a single stack.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.29 no.1
• /
• pp.391-398
• /
• 2005

The outbound containers in a container terminal are classified into a few groups by their weights and stocked separately in a yard for easy and efficient handling. In order to maintain the balance of a ship during loading, containers of heavier weight groups should be fetched out of a yard and loaded onto the ship before those of lighter weight groups. However, the weight information used to determine the weight group is usually imprecise. Therefore stacks will actually be filled with mixture of different weight groups and rehandlings are unavoidable during loading operation. This paper presents a method for estimating the number of rehandlings caused by imprecise information and a scheme for generating a simple but efficient slot assignment rule. Experiments have shown that a rule generated by the proposed method can reduce the number of rehandlings by about 20%compared to the traditional slot assignment method which stacks only the containers of the same weight group in a single stack.

• Journal of Korea Port Economic Association
• /
• v.25 no.4
• /
• pp.225-250
• /
• 2009

The purpose of this paper is to clarify the movement of customer satisfaction factor of port like marketing and customer support factors and set up new strategy for customer satisfaction with the factors of control by Port Authority. It was researched to Terminal operation and shipping companies of main clients of Container Terminals of Busan Port. The Score of customer satisfaction is 4.62, it is almost average score to consider Likert Scale 7 for Research measurement. For Customer satisfaction measurement score, the factor is named Port Facility, Port Cost, Marketing Activity and Customer Support with 20 elements. It is verified suitable model by Structural Equation Method. It is effect customer satisfaction by Marketing Activity and Customer Support factor instead of Port Facility and Port Cost. So Port Authority has to plan new strategy for customer satisfaction to consider its effect factors.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.391-393
• /
• 2022

In recent years, technologies forecasting demand based on deep learning and big data have accelerated the smartification of the field of e-commerce, logistics and distribution areas. In particular, ports, which are the center of global transportation networks and modern intelligent logistics, are rapidly responding to changes in the global economy and port environment caused by the 4th industrial revolution. Port traffic forecasting will have an important impact in various fields such as new port construction, port expansion, and terminal operation. Therefore, the purpose of this study is to compare the time series analysis and deep learning analysis, which are often used for port traffic prediction, and to derive a prediction model suitable for the future container prediction of Busan Port. In addition, external variables related to trade volume changes were selected as correlations and applied to the multivariate deep learning prediction model. As a result, it was found that the LSTM error was low in the single-variable prediction model using only Busan Port container freight volume, and the LSTM error was also low in the multivariate prediction model using external variables.

• Journal of Navigation and Port Research
• /
• v.44 no.4
• /
• pp.298-304
• /
• 2020

The purpose of this study was to identify evaluation factors and analyze the relative importance among factors to select a suitable transportation method for transferring the increasing amount of transshipment at multiple terminals at the Busan new port. To accomplish this, the evaluation factors were selected through a literature survey and brainstorming of a group of experts associated with the port operation, and were classified into five major factors and 15 middle factors. The evaluation factors classified hierarchically were surveyed relative to workers in organizations such as shipping companies, port corporations, container terminals, and related ministries. The importance of each factor was calculated using the hierarchical analysis process (AHP). As a result of the importance analysis, priority was assigned in order of safety, productivity, investment efficiency, operational efficiency, and policy conformity. Through this, it was necessary to select a suitable transportation method for the transshipment cargo in terminals while focusing on the cargo and terminal security and preventing accidents. As a result of calculating from six ITT transportation candidates, the priority was determined in order of monorail, Autocon, and so on as ITT transportation suitable for the Busan new port..

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2004.11a
• /
• pp.263-272
• /
• 2004

전 세계 항만은 급속히 변화하는 환경에 적응하고, 경쟁국가 항만보다 앞서나가기 위한 노력을 지속적으로 경주하고 있는 실정이다. 주목할 만한 세계항만의 변화는 연평균 $8.4\%$씩 증가 추세에 있는 전 세계 물동량 및 선박의 대형화 즉, 현재 8,000TEU급 선박은 물론 12,000TEU급 선박까지 출현하는 현실을 들 수 있다. 이외에도 인건비 상승, 항만관련 기술 환경의 변화와 같은 환경적 변화가 급격히 일어나고 있는 실정이다. 국내의 경우도 2000년 현재 912만TEU 수준인 물동량이 2011년에는 1,318만 TEU로 증가할 것으로 전망하고 있는데 이는 2000년 현재의 3배 수준이고, 인건비 또한 컨테이너터미널 비용의 $40\%$이상을 차지하는 둥 다양한 어려움을 겪고 있다. 따라서 국내 특히 부산항만은 이러한 환경변화에 대응할 수 있는 컨테이너터미널 시설이 필요한데 이를 위해서는 현재의 시설은 최대한 활용하면서 생산성의 극대화는 물론 비용 절감을 위한 방안이 필요하다. 따라서 본 연구는 국외 선진 자동화 컨테이너터미널의 야드 운영현황을 파악하여 요인도출 및 이러한 결과를 토대로 국내 의 경우 어떠한 부분들을 자동화하는 것이 가장 효과적인지에 관한 대안을 도출한다. 도출된 대안별로 초기 투자비 및 운영비에 대한 현재가치를 제시하여 의사결정자의 의사결정 시 참고할 수 있는 방안을 제시하고자 한다. 이러한 연구는 현재 국내 컨테이너터미널이 향후 자동화로 전 환할 때 중요한 기준이 될 수 있으며 항만에 관한 국가 정책수립 시에도 중요한 참고자료로서 활용가능하다.

• Journal of Korea Port Economic Association
• /
• v.29 no.2
• /
• pp.159-171
• /
• 2013

This paper aims to analyse the relative efficiency of logistics facilities and suggest the policy alternatives for exploring and activating them. This study also divides the logistics facilities into airport terminals, logistics complexes, container terminals, and trucking freight terminals. For this purpose, the CCR-DEA as well as the BCC-DEA techniques are employed to show which part explains the primary cause of inefficiencies of each DMU(Decision Making Unit). The empirical results indicate that the efficiency of logistics complex is the lowest of all, while freight trucking terminal has the highest efficiency. This study also reveals that operation inefficiency is greater than scale inefficiency in most of DMUs, showing that much more effort be done for alleviating the cost resulting from irrational management.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.12
• /
• pp.201-208
• /
• 2009

As the ubiquitous environment is created, the latest ports introduce U-Port services in managing ports generally and embody container's location identification system, port terminal management system, and advanced information exchange system etc. In particular, the location identification system for freight cars and containers provide in real time the information on the location and condition for them, and enables them to cope with an efficient vehicle operation management and its related problems immediately. However, such a system is insufficient in effectively handling with the troubles in a large-scale port including freight car's disorderly driving, parking, stop, theft, damage, accident, trespassing and controlling. In order to solve these problems, this study structures the vehicle positioning system and the image verification system unsing high resolution image compression and AVE/H.264 store and transmission technology, able to mark and identify the vehicle location on the digital map while a freight car has stayed in a port since the entry of an automatic gate, or able to identify the place of accident through image remotely.