• 한국경영과학회지
• /
• 제33권2호
• /
• pp.75-86
• /
• 2008

A remarshalling is one of the operational strategies considered importantly at a port container terminal for the fast ship operations and heighten efficiency of slacking yard. The remarshalling rearranges the containers scattered at a yard block in order to reduce the transfer time and the rehandling time of container handling equipments. This Paper deals with the rearrangement problem, which decides to where containers are transported considering time value of each operations. We propose the mixed integer programming model minimizing the weighted total operation cost. This model is a NP-hard problem. Therefore we develope the heuristic algorithm for rearrangement problem to real world adaption. We compare the heuristic algorithm with the optimum model in terms of the computation times and total cost. For the sensitivity analysis of configuration of storage and cost weight, a variety of scenarios are experimented.

• 대한조선학회논문집
• /
• 제60권6호
• /
• pp.433-440
• /
• 2023

This study aims to establish safety zones for bunkering operations of hydrogen propulsion ships in coastal areas through risk assessment and evaluate their validity. Using a 350 kW-class ferry operating in Busan Port as the subject of analysis, with quantitative risk assessment based on accident consequence and frequency analysis, along with a social risk assessment considering population density. The results of the risk assessment indicate that all scenarios were within acceptable risk criteria and ALARP region. The most critical accident scenarios involve complete hose rupture during bunkering, resulting in jet flames (Frequency: 2.76E-06, Fatalities: 9.81) and vapor cloud explosions (Frequency: 1.33E-08, Fatalities: 14.24). For the recommended safety zone criteria in the 6% hose cross-sectional area leakage scenario, It could be appropriate criteria considering overall risk level and safety zones criteria for hydrogen vehicle refueling stations. This research contributes to establishing safety zone for bunkering operations of hydrogen propulsion ships through risk assessment and provides valuable technical guidelines.

• Safety and Health at Work
• /
• 제9권1호
• /
• pp.42-52
• /
• 2018

Background: Maintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man-machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance. Methods: The human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities. Results: The developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared. Conclusion: The developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue) or external (i.e., environmental and operational conditions such as weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress) factors.

• 한국컴퓨터정보학회논문지
• /
• 제28권10호
• /
• pp.267-275
• /
• 2023

조선 및 해운·물류 분야의 디지털 전환은 자율운항선박의 도입 및 선박의 운항방식의 변화를 이끌 것으로 예상된다. 기존 운항방식과 함께 자율운항, 원격운항 등 다양한 운항형태가 공존하며, 선박 운용 프로세스의 전환과 새로운 이해관계자의 등장이 전망된다. 본 논문에서는 선박 운항방식 변화에 따른 미래 선박 운항 프로세스를 분석하고, 미래 선박의 운항환경 변화를 예측하여 주요 업무별·이해관계자별 기능요건을 도출하고자 한다. 델파이 기법을 활용하여 항해 및 화물운송 계획 수립단계부터 최종 목적항 입항 및 화물 하역단계까지 선박 운항 시나리오를 구성하고, 업무별, 수행 주체별 미래 업무 변화를 예측했다. 원격운항, 자율운항 등으로 선원의 개입이 최소화될 것이며, 각 분야의 전문가가 선박 운항의 다양한 측면에서 책임과 의무를 갖게 될 것으로 예상된다.

• 대한조선학회논문집
• /
• 제61권4호
• /
• pp.258-266
• /
• 2024

It is necessary to predict the ship's manoeuvrabilities in waves for its safe operations in adverse weather. At the early design stage, free-running model tests can be performed to estimate the ship's manoeuvring performance in irregular wave conditions. The wave elevations are randomly varied with times in irregular waves, large deviations of the manoeuvring performance indices are likely to occur depending on the start time of steering scenarios. In this study, a KSUPRAMAX model ship's manoeuvres in long-crested irregular waves are reproduced in the equivalent regular waves. The equivalent regular waves are searched from the energy flux relations between long-crested irregular and regular waves. But there are differences of forward speeds in the model tests, regular wave height and period are modified so that both the forward speed and the trajectory drift in regular waves are similar to those in irregular waves. In addition, low speed course-keeping tests are performed with various wave incident angles in irregular and regular waves. It is confirmed that check helms, drift angles, and speeds as well as trajectories in irregular waves are similar to those in equivalent regular waves.

• 대한원격탐사학회지
• /
• 제39권6_1호
• /
• pp.1451-1466
• /
• 2023

해양 조난 사고에서 드론 활용이 빠르게 증가하고 있는 가운데, 특히 드론을 활용한 수색 구조 작업이 주목받고 있다. 조난 선박 및 기타 해양 표류체를 빠르게 탐지하기 위해 드론 영상을 활용한 딥러닝 모델들이 확장되고 있다. 그러나 이러한 모델을 효과적으로 학습시키기 위해서는 다양한 기상 조건과 선박 상태를 고려한 대량의 학습 데이터가 필요하다. 이에 대한 데이터 부족 문제는 학습된 모델의 성능 저하로 이어질 수 있다. 이에 본 연구는 해양 환경 시뮬레이터를 개발하고 데이터셋을 보강하여 조난 선박 탐지를 위한 딥러닝 모델의 성능 개선을 목표로 한다. 이 시뮬레이터는 눈, 비, 안개와 같은 다양한 기상 조건과 선박 상태, 그리고 드론과 센서의 규격과 특성을 설정할 수 있다. 시뮬레이션을 통해 얻은 데이터셋을 활용하여 딥러닝 모델을 학습시켰다. 이로써, 실제 드론 영상 데이터셋만을 사용한 모델과 비교했을 때 정확도와 재현율 등의 탐지 성능이 향상되었다. 특히, 비나 안개와 같은 악기상에서의 조난 선박 탐지 정확도(Average Precision, AP)는 약 2-5% 정도 향상되었으며 미탐지 비율이 현저히 낮아졌다. 이러한 결과는 개발된 시뮬레이터가 현실적이고 효과적으로 다양한 상황을 시뮬레이션하여 모델 학습에 기여함을 보여준다. 또한, 이에 기반한 조난 선박 탐지 딥러닝 모델은 해양 수색 및 구조 작업에서 효율적으로 활용될 것으로 기대된다.

• 정보화연구
• /
• 제9권2호
• /
• pp.177-186
• /
• 2012

해군은 다양한 해상작전을 수행하기 위해 해상기동부대(TF)를 구성한다. 해양 환경하에서 해상기동부대(TF)는 대함전(ASUW), 대잠전(ASW), 대공전(AAW), 그리고 상륙돌격 작전 등과 같은 동시 병행적으로 성분작전을 수행한다. TF는 임무완수를 위하여 C4I, 인터넷 음성전화(VOIP) 및 디지털 전보처리체계(DMHS)와 LINK-11, 16, ISDL 등과 같은 전술데이터링크를 갖춘 많은 전술체계들을 구성하고 있다. TF가 수명한 임무를 완수하기 위해 해상작전을 수행할 때, TF의 작전절차에 관심을 갖게 되었다. 작전절차는 적을 격파하기 위한 해상작전 수행을 위한 표준절차이다. 각 함정은 '어떻게 싸울 것인가'에 대한 매뉴얼에 교전절차는 갖고 있지만, 현재 TF의 상세한 작전절차는 미흡하다. 따라서, 본 논문에서 우리는 효과적인 해상작전 수행에 필요한 작전절차를 제안한다. 그런 작전절차 환경에서 TF의 작전 효과성은 전술데이터링크 운영의 작전 시나리오를 통해 결정하고자 한다. 전술데이터링크를 적용한 해상작전에서 데이터 링크 기반으로 국방 아키텍처프레임워크(MND-AF) OV-6c(운용상태 추적 기술서)에서 작전정보 공유효과를 살펴보고, 정보 전파과정 개선을 식별하는 것이다. 본 논문에서는 효과적인 해군작전의 해상 TF를 위한 작전절차 모델을 제안하였다.

• 해양환경안전학회지
• /
• 제22권3호
• /
• pp.278-285
• /
• 2016

The key features of maritime accidents are the change of their attributes by new risks from time to time. To prevent maritime accidents in Korea, the impacts by new risks on domestic safety environments should be identified or predicted. The purpose of this paper is to find the hazard factors by new risks on maritime safety in Korea. The meaning of new risks is the elements of accident hazard which is compiled from new or rare or unprecedented events in the worldwide maritime transportations. The problems of new risks are the lacks of optimum countermeasures to mitigate accident risks. Using the questionnaires with 152 event scenarios classified by 20 accident causes, the hazard identification and risk analysis of new risks was performed based on the Formal Safety Assessment (FSA) by IMO. A total of 22 Influence Diagrams, which is to depict the transit flows between accident causes to consequences, is used in the construction of 152 event scenarios. A total of 20 accidents causes is the same contents as the causation factors represented in Statistical Year Book for Maritime Accidents of Korean Maritime Safety Tribunals. After defining the evaluation equations to the response results of questionnaires by 46 experts, the work for risk analysis is carried out. As results from the analysis of 152 scenarios, it is known that the root cause to affect on maritime safety in Korea is the pressure of business competition and it led to the lacks of well experienced crews, the overload of vessel operations and crew's fatigue. In addition, as results from the analysis of 20 accident causes, the three accident causes are to be candidate as main issues in Korea such as the inadequate preparedness of departure, the neglecting of watch keeping in bridge and the inadequate management of ship operations. All of the results are thought to be as basic hazard factors to safety impediments. It is thus found that the optimum Risk Control Options to remove the hazard factors and to mitigate consequences required are the following two factors: business competition and crewing problems.

• 대한조선학회논문집
• /
• 제55권2호
• /
• pp.93-102
• /
• 2018

Quantitative Risk Assessment (QRA) has been used in shipping and offshore industries for many years, supporting the decision-making process to guarantee safe running at different stages of design, fabrication and throughout service life. The assessments of a risk perspective are informed by the frequency of events (probability) and the associated consequences. As the number of offshore platforms increases, so does the length of subsea pipelines, thus there is a need to extend this approach and enable the subsea industry to place more emphasis on uncertainties. On-board operations can lead to objects being dropped on subsea pipelines, which can cause leaks and other pipeline damage. This study explains how to conduct hit frequency analyses of subsea pipelines, using historical data, and how to obtain a finite number of scenarios for the consequences analysis. An example study using probabilistic methods is used.

• 수산해양기술연구
• /
• 제60권2호
• /
• pp.161-169
• /
• 2024

This study employs Bayesian network analysis to quantitatively evaluate the risk of incidents in trap boats, utilizing accident compensation approval data spanning from 2018 to 2022. With a dataset comprising 1,635 incidents, the analysis reveals a mortality risk of approximately 0.011 across the entire trap boat. The study significantly identifies variations in incident risks contingent upon fishing area and fishing processes. Specifically, incidents are approximately 1.22 times more likely to occur in coastal compared to offshore, and the risk during fishing processes outweighs that during maintenance operations by a factor of approximately 23.20. Furthermore, a detailed examination of incident types reveals varying incidence rates. Trip/slip incidents, for instance, are approximately 1.36 times more prevalent than bump/hit incidents, 1.58 times more than stuck incidents, and a substantial 5.17 times more than fall incidents. The study concludes by providing inferred mortality risks for 16 distinct scenarios, incorporating fishing areas, processes, and incident types. This foundational data offers a tailored approach to risk mitigation, enabling proactive measures suited to specific circumstances and occurrence types in the trap boat industry.