• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.556-563
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• 2007

국제 물동량의 증가로 인한 해상운송의 활성화는 시장 참여자들의 경쟁 심화로 이어지고 있다. 따라서 해상운송의 효율성 향상을 통한 경쟁력 강화의 필요성이 높아지고 있다. 특히 한국의 경우에는 자동차 수출입 물동량의 증가로 인한 자동차 운반선사(Car Carriers)의 효율적인 운송계획의 중요성이 강조되고 있다. 이에 본 연구에서는 자동차 운반선의 현황분석을 통한 운송계획의 문제점을 분석하고, 이를 해결할 수 있는 자동차 운반선 해상운송계획 지원 시스템을 개발한다. 이는 자동차 운반선에 관한 해상운송계획 과정을 체계화함으로써 계획의 수립 속도 및 질적 수준을 향상시키고, 계획의 체계적인 관리(수정, 변경 등)를 가능케 함으로써 사용자가 보다 나은 의사결정을 내릴 수 있도록 하기 위함이다. 한편 자동차 운반선의 해상운송계획 과정에서 해상운송과 자동차 화물의 특성에 의해 발생되는 다양한 예외상황들을 고려할 수 있도록 하기 위해 IP(Integer Programming) 모형을 사용하여 이익을 최대로 하는 또는 비용을 최소로 하는 최적의 안을 생성하고, 계획 수립 이후에 발생하는 변경사항들을 실무자가 효율적으로 수정할 수 있도록 해상운송계획 지원 시스템을 개발한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.219-220
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• 2007

차량화물은 국내 품목별 수출물량의 2위를 차지하는 수출화물로(현재 2007년 상반기), 한미 FTA 이후 수출물량이 점차 더 증가할 것으로 예상되어 그 중요성이 높아지고 있다. 이러한 수출 차량화물을 해상운송하는 Car Carrier업체(차량화물 운송전문 업체)의 효율적인 수출업무 처리를 위해, 실시간으로 변하는 정보를 효과적으로 표현 및 변경이 가능하고, 운송계획에 필요한 관련 정보를 제공받을 수 있는 시스템이 필요하다. 그러나 현재 대부분의 Car Carrier업체는 작업자의 경험에 의존한 수작업으로 운송계획을 수립하는 문제점이 있다. 본 연구에서는 Car Carrier업체의 해상운송계획 수립 시 의사결정을 효율적으로 지원할 수 있도록 사용자 인터페이스를 강화한 RIA(Rich Internet Application)기반의 자동차 해상운송계획시스템을 설계 및 개발하고자 한다.

• Journal of Navigation and Port Research
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• v.34 no.8
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• pp.649-657
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• 2010

In order to achieve a sustainable competitive advantage in the expanding maritime transportation market, most shipping companies are making every effort to reduce transportation costs. Likewise, the car shipping companies, which carry more than 80% of total car import and export logistics volume, also do their utmost for transportation cost saving. Until now many researches have been made for efficient maritime transportation, but studies for car shipping companies have rarely been made. For this reason, this study has tried to develop a maritime transportation planning support system which can help to save logistics costs and increase a competitive power of car shipping companies. To this end, instead of manual effort to solve the routing problem of car carrier vessels, this study has proposed a genetic algorithm. The performance of the genetic algorithm will be evaluated by comparing with the optimal solution of integer programming model.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.153-162
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• 2006

The objective of this paper is to quickly examine the prosperity of a marine transportation system ana port development in the Han river Estuary and Yellow Sea border areas and to establish a cooperative management plan for the development of marine transportation and port service for cargo transportation in Seoul. as well as between South Korea and North Korea. Specifically. a development plan with a sincere effort to preserve the environment surrounding Marine Peace Park. The intent is to prove that prosperity is possible through the development of marine transportation and port service.

• Journal of Navigation and Port Research
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• v.30 no.8 s.114
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• pp.699-709
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• 2006

The objective of this paper is to quickly examine the prosperity of a marine transportation system and port development in the Han river Estuary and Yellow Sea border areas and to establish a cooperative management plan for the development of marine transportation and port service for cargo transportation in Seoul, as well as between South Korea and North Korea. Specifically, a development plan with a sincere effort to preserve the environment surrounding Marine Peace Park. The intent is to prove that prosperity is possible through the development of marine transportation and port service. Considering conditions of navigation, site, cost, and transportation, four port candidates are proposed for the port in near Seoul and we performed the analysis of candidates to develop the port.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.165-166
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• 2009

The purpose of this study is to develop a model of the optimal stowing plan for car carriers. This model will be used for an integrated model of maritime transportation planning for car carriers with vessel allocation and voyage planning models.

• Plant Journal
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• v.13 no.3
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• pp.30-35
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• 2017

Module can be categorized as PAS(Pre-Assembled Steel structure), PAR(Pre-Assembled pipe Rack), PAU(Pre-Assembled Unit), VAU(Vendor Assembled Unit) and VPU(Vendor Package Unit). At the stage of design and fabrication of module, the condition of land and ocean transportation is considered and these conditions are reflected on the module division design. The control of the module's center of gravity is important to transport and install modules safely and the steel structure should have the strength enough to resist the sea acceleration force during the ocean transportation. The transportation condition and the installation method influence the size and weight of module. The size and weight of module are considered for the design of module division.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.106-111
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• 2002

해상운송에서 규모의 경제 이익을 달성하기 위해 선박의 크기가 대형화되고, 항만이 중심항만과 주변항만으로 양분화 되어감에 따라 컨테이너 터미널의 효율적 운영을 통한 경쟁력 확보가 중요시되고 있다. 컨테이너의 효율적인 적하는 선박의 효율과 양적하에 직접 관여하는 터미널 중심 장비인 켄트리 크레인의 효율을 극대화하도록 계획되어야 한다. 적하 문제는 선박의 크기와 각 터미널에서의 적하량에 종속되는 NP-hard 문제이다 본 연구에서는 컨테이너 적하 문제를 크게 두 개의 단계로 나누어 적하 계획을 수행한다. 무한한 경우의 수를 두 단계로 나눈 계획 시스템에 의해 크기를 줄인다. 첫 번째 단계는 컨테이너를 선박의 각 해치별로 배치하는 단계이고, 두 번째 단계는 각 해치별로 배정된 컨테이너를 특정 슬롯에 배치하는 것이다. 이렇게 분해된 문제의 각 단계에서 유전 알고리즘(Genetic Algorithm)을 사용하여 최적의 적하계획을 세운다. 그리고 정기 컨테이너선의 운항모형을 수립하고, 각 항구에서의 양·적하를 수행하여 구축된 시스템의 적합성을 시뮬레이션하여 평가한다

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.83-96
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• 2017

As a way to address global warming, among the renewable energy sources, there have been heavy investments worldwide for the development of offshore wind farms. However, such development has a drawback: investment costs are higher than those for onshore wind farms due to required operations such as offshore transportation and installation. In particular, delays in installation due to adverse maritime weather conditions are factors that affect the economics of offshore wind farms' operation. Therefore, in this study, we analyze the optimal schedule of the construction of an offshore wind farm from a macro perspective by considering the weather conditions in Korea. For this purpose, we develop a mathematical model and apply it to a 2.5 GW offshore wind farm project on the southwestern coast of the country. We use data from the Korea Meteorological Agency for maritime weather conditions and attempt to reflect the actual input data based on precedent cases overseas. The results show that it takes 6 months to install 35 offshore wind turbines. More specifically, it is pointed out that it is possible to minimize costs by not working in winter.

• Management & Information Systems Review
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• v.34 no.4
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• pp.1-13
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• 2015

This paper presents a mathematical formulation for container slot chartering model through strategic alliance between liner shipping companies. This paper develops a solution procedure to apply the model to real world problems and its applicability is demonstrated by a numerical example. The model presented in this paper has some important features which have never been considered in the previous researches. The model is linear model and pursuits profit maximization. And also it considers slot chartering capacity selection. This paper attempts to perform sensitivity analysis and compares slot chartering model with basic non-collaborating model in which there is no alliance and collaboration. As a result of sensitivity analysis, some interesting findings are obtained; Even though freight rate is more and more decreasing, the profit by slot chartering model is always higher than the basic model but the profit gaps become smaller. But The ratio of the profit gap to the profit of basic model is more increasing.