• Journal of the Korean Society of Industry Convergence
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• v.24 no.1
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• pp.19-29
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• 2021

In the Port Logistics system, Container Stowage planning is an important issue for cost-effective efficiency improvements. At present, Planners are mainly carrying out Stowage planning by manual or semi-automatically. However, as the trend of super-large container ships continues, it is difficult to calculate an efficient Stowage plan with manpower. With the recent rapid development of artificial intelligence-related technologies, many studies have been conducted to apply enhanced learning to optimization problems. Accordingly, in this paper, we intend to develop and present a Deep Q-Learning Network model for the Master Stowage planning of Container ships.

• IE interfaces
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• v.19 no.4
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• pp.270-280
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• 2006

The shipping plan for an efficient augmentation of terminal is NP-hard problem which is subordinate to a shipping quantity. The load location problem and stowage planning problem are two important tactical problems for the efficient operations of container terminals. This paper is concerned with reduction of feasible region in constraints for stowage planning. After designing model which minimizes the number of shifting and the travel distance of the transfer crane, the simulated annealing algorithm is employed to search optimal solution quickly and accurately. In order to apply more realistic approach, the partial restriction through adding hatch is complemented to stowage planning decision problem applied in cluster. A variety of numerical experiments demonstrated that solutions by simulated annealing algorithm are useful and applicable in practice.

• 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.334-335
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• 2022

Among domestic car carrier operating shipping companies, some shipping companies are operating a stowage planning system that is installed and executed on a computer, and most shipping companies are executing stowage plans with documents such as Excel. This is a study on how to utilize web service technology so that multiple users can use the planning system more efficiently in the cargo stowage planning process for car carriers.

• Journal of Korean Port Research
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• v.9 no.1
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• pp.19-32
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• 1995

The objective of this paper is to suggest a decision support system allowing automated stowage planning for containerships, and provide a working prototype. Unlike most previous works in this topic which concentrated mainly on the theoretical aspects. this paper attempts to develop a feasible system for improving the speed and accuracy of stowage planning by combining practice and theoretical solution methods. The paper includes a definition of the containership stowage problem, and details on the design and development of the automated stowage plan generation routine. Several program tests are undertaken with randomly generated input data. The results suggest that the prototype system is quite meaningful even though there are still some unsolved problems. The paper concludes with a discussion of issues for future development of the decision support system.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.1
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• pp.187-192
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• 2022

In the current container port, the containers standardized by the automated operating system using the latest information and communication technology are systematically made according to the optimal stowage planning. However, loading of steel coils with a unit weight of several tens of tons is still performed manually, which is very inefficient. As a result, work is delayed and safety accidents occur frequently. In this study, an automated simulation system for loading steel coils was designed to prevent misjudgment, congestion, and safety accidents that occur during the manual loading process of steel coils.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1259-1266
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• 2022

Stowage planning is an essential process for safe loading by establishing, agreeing on, and systematically implementing a reasonable loading and securing method based on information on cargo, loading/unloading and the ship. In addition, depending on the plan, there may be a difference of about 14% or more in the loading amount per ship, which causes a tolerance rate and leads to an increase in sea freight charges. In this study, work environment and process standards for steel coil shipment, and classification regulations and guidelines related to steel coil shipment were analyzed. In addition, we developed a steel coil loading and placement automation system that derives an optimal loading plan through performance data-based shipping balancing and stability analysis.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.255-266
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• 1999

The purpose of this paper is to describe the design of the decision support system for container terminal ship planning and to introduce the implemented system. The ship planning in container terminals consists of three major decision processes -the working schedule of gantry cranes the discharging sequence of inbound containers the loading position and sequence of outbound containers. For making these decision the proposed system can provide two ship planning modes the interactive planning mode with user-friendly GUI and the automated planning made. To implement the automated planning routine we acquired the planning rules from the expert planner in container terminals and developed an expert system based on the rules. Finally we evaluated the system developed and the potential for commercialization by using container terminal data.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.167-172
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• 2004

Marine ttransport is a big part of container transportation. In view of container terminal. the planning technology is very important to secure the stability and regularity at container yard. The purpose of this paper is to suggest more efficient container yard management by evaluating the container yard occupations from the methods of divide that predict the carried containers in gates.

• 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