• Journal of Korea Port Economic Association
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• v.39 no.1
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• pp.131-147
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• 2023

Gwangyang Port Marine Industry Cluster is the only marine industry cluster in Korea that is currently in operation, but despite the implementation of various revitalization policies since its opening, the occupancy rate has been low so far. Accordingly, this study aims to identify the constraints of the current system that hinder the inducement of tenant companies and to suggest revitalization measures. For this purpose, this study analyzed the current status of research and development(R&D) projects in the port, shipping and logistics sector, which is a core industry of the Gwangyang Port Marine Industry Cluster. And a survey was conducted on companies with potential to move in. As a result, the proportion of R&D in the core industry sectors is lower than in other sectors, and most of R&D projects are being carried out mainly by small and medium-sized enterprises. In addition, the low need for port facilities and low accessibility to Gwangyang Port were derived as constraints. Considering the results, this study suggests four revitalization measures to induce tenant companies as follows. First, it is necessary to expand the scope of core industries from the current shipping, ports, and logistics to the entire maritime and fisheries, so that companies performing R&D in the industry can move in. Second, the industry code currently specified as a qualification need to be revised to include both the industry of the enterprise carrying out R&D projects and the core industry. Therefore, this study suggests an expanded industry code list that can replace current list. Third, a transition of tenant recruitment system from the regular system(once or twice a year) to the occasional system is proposed so that companies can move in flexibly when demand arises. Finally, in order to overcome geographically low accessibility, technology development support projects specialized in R&D that prospective tenant companies actually need are needed rather than financial support.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.37-49
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• 2011

By strengthening the market control and expanding the networks, providers of global logistics are expanding their service scope. E-logistics connects e-business to internal and external information system by using WMS, TMS, and OMS. The paper focuses on analyzing the efficiency of the tope fifty Global Logistics Providers. Therefore, the study classifies the factors which specify the efficiency of a total logistics industry and verified its firmness. Furthermore, the most recently published reports by Logistics Quarterly and Armstrong Association in 2011 was used in order to guarantee credibility of the study. This study utilizes three years of materials, from 2007, 2008, 2009 on publish 2010, for scope period for analysis. By applying SBM (Slack Based Measure) & the DEA Window model, the trend in efficiency and stableness was analyzed. Consequently, the main purpose of the paper is evaluating the efficiency. Also, analyzing its determinants and illustrating a long-term relationship between the annual turnover and major shippers was used as output measures. In addition, the number of information system operations, the grade of information systems, and employee of Logistics Providers was used as input measures.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.11a
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• pp.53-61
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• 2002

This paper aims to apply a supply chain modeling and its analysis framework to the supply chain in the port industry, each of which has its own objective. The simulation approach serves two purposes: to model a supply chain network in quantity approach and to evaluate its supply chain performance based on proposed strategies. The simulation model will be applied to quantifying the flow of a supply chain, the involved information and material flow and conducted to simulate the supply chain operations. The model will also be used which strategic and operational policies are the most effective in smoothing the variations in the supply chain.

• Journal of Korea Port Economic Association
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• v.21 no.3
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• pp.1-17
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• 2005

This study suggests the holding of the 2015 Busan Harbour Registration Exposition in order to activate port & logistics industry, motivate Busan regional development and set up the long-term goal of local people. The SWOT analysis shows that the given conditions of Busan is competitive to attract the 2015 Busan Harbour Registration Exposition, which might be further strengthened for the competitiveness of the Port of Busan. The way to maximize the holding possibility of the EXPO, then, should be more emphasized for the successful implementation of the Pre-Expos periodically and successively by developing and planning perfectly logicality, differentiated subject and concept of the EXPO which accepted in the inside and outside of country.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.53-62
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• 2020

The maritime and port logistics industry is closely related to global trade and economic activity, especially for Korea, which is highly dependent on trade. As the largest port in Korea, Busan Port processes 75% of the country's container cargo; the port is therefore extremely important in terms of the country's national competitiveness. Port container cargo volume forecasts influence port development and operation strategies, and therefore require a high level of accuracy. However, due to unexpected and sudden changes in the port and maritime transportation industry, it is difficult to increase the accuracy of container volume forecasting using existing time series models. Among deep learning models, this study uses the LSTM model to enhance the accuracy of container cargo volume forecasting for Busan Port. To evaluate the model's performance, the forecasting accuracies of the SARIMA and LSTM models are compared. The findings reveal that the forecasting accuracy of the LSTM model is higher than that of the SARIMA model, confirming that the forecasted figures fully reflect the actual measurement figures.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.79-92
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• 2019

This study analyzes the effects of freight transportation income, capital, asset, non-operating expenses, and debt ratio on the debts of inner port freight transportation businesses through the GLS of panel regression analysis and the estimation of fixed effects model. The factors and hypotheses were established through a theoretical background review, and the financial statement and profit and loss data of inner port freight transportation businesses for 10 years from 2006 to 2015 were analyzed. The results showed that assets had positive effects on debts, and negative effects on capital, non-operating expenses, and debt ratio, but no effect on freight transportation income. This result empirically demonstrates the tendency of inner port freight transportation businesses to secure assets by increasing debts, creation of debt reduction leverage effect using non-operating expenses such as interest expenses through bank borrowing, and the adoption of management characteristics and financial operation method to lower the debt ratio by reducing capital more than debts. In future studies, it is necessary to analyze coastal port freight transportation business by industry (oil tankers, cargo ships, and barge ships), and regions such as East, West and South sea.

• 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.

• Journal of Navigation and Port Research
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• v.35 no.3
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• pp.243-251
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• 2011

The container ports have been increasingly changed according to the industry structure and differentiated customer's needs. So it seems to need the differentiated service strategies to have their competitiveness. To assess the customer requirements objectively, this paper associated the service process of container ports with the service quality scale by using the Quality Function Development(QFD). This paper analysed the service process of Busan port and then compared it with those of Shanghai port and Tokyo port which are the typical port of the northeast asia. Also, after drawing the importance of the service process as well as its priorities by representing the relation between service quality scale and processes of the container ports, this paper proposed the House of Quality(HOQ) for service quality improvements.

• Proceedings of the Korea Port Economic Association Conference
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• 2006.08a
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• pp.1-12
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• 2006

As national economies globalize, demand for intercontinental container shipping services is growing rapidly, providing a potential economic boon for the countries and communities that provide port services. On the promise of profits, many governments are investing heavily in port infrastructure, leading to a possible glut in port capacity, driving down prices for port services and eliminating profits as ports compete for business. Further, existing ports are making strategic investments to protect their market share, increasing the chance new ports will be overcapitalized and unprofitable. Governments and port researchers need a tool for understanding how local competition in their region will affect demand for port services at their location, and thus better assess the profitability of a prospective port. We propose to develop such a tool by extending our existing simulation model of global container traffic to incorporate demand-side shipper preferences and supply-side strategic responses by incumbent ports to changes in the global port network, including building new ports, scaling up existing ports, and unexpected port closures. We will estimate shipper preferences over routes, port attributes and port services based on US and international shipping data, and redesign the simulation model to maximize the shipper's revealed preference functions rather than simply minimize costs. As demand shifts, competing ports will adjust their pricing (short term) and infrastructure (long term) to remain competitive or defend market share, a reaction we will capture with a game theoretic model of local monopoly that will predict changes in port characteristics. The model's hypotheses will be tested in a controlled laboratory experiment tailored to local port competition in Asia, which will also serve to demonstrate the subtle game theoretic concepts of imperfect competition to a policy and industry audience. We will apply the simulation model to analyze changes in global container traffic in three scenarios: addition of a new large port in the US, extended closure of an existing large port in the US, and cooperative and competitive port infrastructure development among Korean partner countries in Asia.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.291-297
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• 2003

The aim of this research is to propose new framework for taxonomy of various business and its concept, due to the changes in market space. This framework is three-dimension cubic model, based on three concepts, business layer(BL), value chain(VC), and Real/Virtual(R/V) that symbolizes real environment and virtual(or cyber) space. And we showed that this framework is able to describe all expected(or existed) business types in certain industry by the combinations of BL-VC-R/V on three dimension. In addition, we suggested new definition of e-business and e-Logistics from view of BL-VC-R/V. In order to test availability, this framework was applied for logistics related business. and classified typical business types existed (or expected) in logistics area.