• Ocean Systems Engineering
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• v.4 no.2
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• pp.137-150
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• 2014

In the marine industry although there has been significant growth towards safety, security and risk assessments or risk-based strategies such as marine insurance and regulations to avoid the risks of damage to properties and the environment or the prospect of premature death caused by accidents etc, the moves toward managing the risks which are linked directly to the business functions and decision making processes have been very slow. Furthermore in the marine industry most perceptions, methodologies and frameworks of dealing with hazards, risks, safety and security issues are for their assessment rather than their management. This trend reveals the fact that in different marine industry sectors such as logistics and shipping there is a lack of coherent risk management framework or methodology from which to understand the risk-based decisions especially for the purpose of design, construction, operation, management and even decommissioning of the marine related applications. On the other hand risk management is not yet viewed holistically in the marine industry in order to, for example, assign a right person, i.e. risk manager, who can act as a coordinator and advisor with responsibilities that are only specific to risk management. As a result this paper, by examining the present physical borders and risk-based activities in the marine industry, aims to propose an appropriate risk management methodology in addition to the emergent role of risk managers which will enable the industry users initially to become familiar with the concept of risk management at its holistic level. In the later stages this eventually can lead to development of risk management capabilities at an exclusive level and its integration into the marine industry functions in future.

• Journal of Korea Port Economic Association
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• v.23 no.1
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• pp.75-93
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• 2007

It is recent trend that every countries are opening their border in the name of liberalization of contemporary era. Shipping is not exceptional and it used to be said as international business. Therefore, co-operation and openness of maritime sectors between regional countries is required to utilize resources that each countries can manage. It can be done by employing their vessels in other countries' short sea area. However, there are some problems to implement this practices, here cabotage is centre of issue. Each countries do not open their sea in order to protect their national interests in sovereignty. But, it should be opened if co-operation between each countries work well and properly. To achieve true maritime co-operation, countries as Korea, China and Japan in Northeast Asia region should have understanding for the opening of cabotage. In order to make things work well, it can be done by the lessons from EU and American cases. Therefore, it should be clarified such as market scale to provide cabotage trade, employment as well as interested parties, and technical safety matters as well as environmental standards. Then cabotage matters can be smoothly resolved between three countries in Northeast Asia region.

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.244-253
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• 2013

In industries, shipping is an important issue in improving the forecasting accuracy of sales. This paper introduces a hybrid method and plural methods are compared. Focusing the equation of exponential smoothing method (ESM) that is equivalent to (1, 1) order autoregressive-moving-average (ARMA) model equation, a new method of estimating the smoothing constant in ESM had been proposed previously by us which satisfies minimum variance of forecasting error. Generally, the smoothing constant is selected arbitrarily. However, this paper utilizes the above stated theoretical solution. Firstly, we make estimation of ARMA model parameter and then estimate the smoothing constant. Thus, theoretical solution is derived in a simple way and it may be utilized in various fields. Furthermore, combining the trend removing method with this method, we aim to improve forecasting accuracy. This method is executed in the following method. Trend removing by the combination of linear and 2nd order nonlinear function and 3rd order nonlinear function is executed to the original production data of two kinds of bread. Genetic algorithm is utilized to search the optimal weight for the weighting parameters of linear and nonlinear function. For comparison, the monthly trend is removed after that. Theoretical solution of smoothing constant of ESM is calculated for both of the monthly trend removing data and the non-monthly trend removing data. Then forecasting is executed on these data. The new method shows that it is useful for the time series that has various trend characteristics and has rather strong seasonal trend. The effectiveness of this method should be examined in various cases.

• Journal of Navigation and Port Research
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• v.34 no.6
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• pp.435-440
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• 2010

A numerical model, which can compute deformation of rubble mound structures composed with various size materials, was proposed. In the numerical model, wave field into the mound structures was computed by CADMAS-SURF and the deformations of mound structures were computed by DEM. Interaction between wave field and sectional deformation of structure was considered and to present the variation of behaviors caused by various properties of materials, computation was carried out with random coefficients by Monte Carlo simulation method for contact stiffness and friction angle. The experiments were carried out with rubbles and glass balls with radius of 2.9cm, 2.6cm and 1.5cm. And the deformation characteristics of rubble mounds composed with various size materials were clarified. Furthermore the validity and the applicability of the model were discussed by comparing with the experimental results.

• Journal of Navigation and Port Research
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• v.37 no.5
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• pp.559-565
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• 2013

The purpose of this study is to prioritize improvement factors of the tug services in terms of the structural problem, operating system and the present condition of the tug at each port in Korea. It was identified that the tug operating system needs to be mostly improved among the improvement factors of the tug services in Korea. In addition, free contract and rotating system were found to be important factors which need to be improved comparing to other factors such as service quality, tug rules, operating practices of council for tug operation and customer factor. The service attitude of the tug companies was regarded as an important element. And the tug entry system appeared to be an important item. Finally, laws relating to tug business needs to be revised which allow new tug companies enter into the market. As the result of AHP analysis for tug systems and service improvement factors, some fundamental changes of tug operation systems are urgently needed.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.234-258
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• 2010

This research attempts to explore the competitive advantage of the Busan New Port based on the comparative analysis against the major ports. The competitive environment of the global shipping business poses a variety of challenges for the port authorities. Pursuing the hub position in the Northeast Asia, Busan new port needs an in-depth competitive analysis against the major ports in Singapore and China. This research proposes the strategies to exploit the locational advantage of the port while upgrading the operational efficiency. The recent development of the information technology suggests a viable solution for the Busan port.

• Journal of Navigation and Port Research
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• v.34 no.3
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• pp.221-228
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• 2010

As container traffic is increasing, the introduction of mega-vessel has had a significant impact on the ports and terminals business. This movement of container shipping has led to intensely competitive environment among ports, so substantial pressures to develop new container ports or to expand existing ones, have been grown. However, it requires a huge investment, especially cost and time, to overcome environmental, geographical and financial restrictions generated from developing a port. This study addressed the Mobile Harbor, the new concept of marine logistics system as an alternative strategy. We performed an economic analysis on the introduction of the Mobile Harbor in coastal transport sector and also a sensitivity analysis to examine the effects of changing factors related on the economic evaluation. We have examined the value and application of Mobile Harbor as a preliminary study, which may contribute to further studies on the Mobile Harbor.

• Journal of Navigation and Port Research
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• v.39 no.4
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• pp.361-370
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• 2015

Wind energy began to receive attention as a new alternative fuel since 20 years ago and is growing as a booming global business model. Global wind power generation in the world has been continuously increasing for the past 10 years, accounting for over 30% of cumulative rate compared to total power generation. Global demand for wind power generation is gradually expanding due to restriction on carbon emission and environmental problems caused by increased greenhouse effect. Accordingly in this study, current transportation routes are classified into three types including access-priority route, economics-priority route, and convenience- priority route depending on distribution characteristics of wind power equipment in order to suggest transportation methods other than ships. The three types of transportation route that this study declared can make the Wind power equipment manufacturing companies can judge not only the duration of transportation but also effectiveness and economic feasibility. It means that the manufacturers can analyze and compare the effectiveness and economic feasibility, which are proceed by the shipping company and freight forwarder until now days.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.191-202
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• 2022

The purpose of this study was to investigate and analyze the perceptions of passengers on various topics related to passenger ship operation, by targeting the passengers (passenger ship consumers) at coastal passenger terminals in three regions, Incheon, Mokpo, and Tongyeong, where many coastal passenger ships operate in Korea. The survey period was October 1-October 11, 2019, just before the outbreak of COVID-19, and the number of samples was 277. The analysis was divided into two elements. Results of the analysis show that, for items islanders as well as the general public did not respond to more than 50% positively, a more in-depth review of policies and fare policies for transportation-disabled facilities through comprehensive fare evaluation such as the excellence of transportation-disabled facilities, the appropriateness of fares, and the appropriateness of fare guidance are necessary. It is expected that this study will contribute to the preparation for re-opening after COVID-19, as well as contribute to public transportation policy.

• The Journal of Bigdata
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• v.6 no.2
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• pp.85-98
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• 2021

The pandemic of COVID-19 further promoted the imbalance in the volume of imports and exports among countries using containers, which worsened the shortage of empty containers. Since it is important to secure as many empty containers as the appropriate demand for stable and efficient port operation, measures to predict demand for empty containers using various techniques have been studied so far. However, it was based on long-term forecasts on a monthly or annual basis rather than demand forecasts that could be used directly by ports and shipping companies. In this study, a daily and weekly prediction method using an actual artificial neural network is presented. In details, the demand forecasting model has been developed using multi-layer perceptron and multiple linear regression model. In order to overcome the limitation from the lack of data, it was manipulated considering the business process between the loaded container and empty container, which the fully-loaded container is converted to the empty container. From the result of numerical experiment, it has been developed the practically applicable forecasting model, even though it could not show the perfect accuracy.