• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.4
• /
• pp.297-303
• /
• 2011

Major ports in Northeastern Asia engage in fierce competition to attract transshipment traffic volume. Existing time series analyses for analyzing port competition relationships examine the types of competition and relations through the signs of coefficients in cointegration equations using the transshipment traffic volume results. However, there are cases for which analyzing competing relationships is not possible based on the results of the transshipment traffic volume data differences and limitations in the forecasting of traffic volume. Accordingly, we used the Lotka-Volterra (L-V) model,also known as the ecosystem competitive relation model, to analyze port competition relations for the long-term forecast of South Korean transshipment traffic volume.

• Journal of Fisheries and Marine Sciences Education
• /
• v.26 no.1
• /
• pp.49-58
• /
• 2014

Variability factors of transship cargo in the container transportation market analysis short term factors. In the past, studies on the factor of variability in container cargo volume have focused on long term volume forecast and increase in investment and competitiveness from strategic perspectives. Unlike previous studies, this paper analyzes factors of variability in transshipment volume rapidly varying in short term and seeks measures. Since it was identified that transshipment volume depends on vessel operation cost and port volume in long term but effectively on special strategies launched by port authorities in short term, the port authority experienced rapid drop in volume should continue to observe strategies of competition ports and to make use of strategies seeking appropriate countermeasures.

• Journal of Navigation and Port Research
• /
• v.40 no.2
• /
• pp.57-65
• /
• 2016

The port throughput situation has changed since the 2008 financial crisis in the US. Therefore, we studied the situation, accurately estimating port traffic of Korean port after the 2008 financial crisis. We ensured the proper port facilities in response to changes in port traffic. In the results of regression analysis, Korean GDP and the real effective exchange rate of Korean Won were found to increase the container throughput in Korean and Busan port, as well as trade volume with China. Also, the real effective exchange rate of Korean Won was found to increase the port transshipment cargo volume. Based on the ARIMA models, we forecasted port throughput and port transshipment cargo volume for the next six years (72 months), from 2015 to 2020. As a result, port throughput of Korean and Busan ports was forecasted by increasing annual the average from about 3.5% to 3.9%, and transshipment cargo volume was forecasted by increasing the annual average about 4.5%.

• Journal of Korea Port Economic Association
• /
• v.27 no.2
• /
• pp.355-372
• /
• 2011

Various incentive policies for transshipment cargo have been enforced without any evaluation of the effectiveness. Therefore, the purpose of this study is to evaluate the effect of volume incentive on container transshipment cargo. To be different from previous studies, this study tries to quantitatively assess the incentive effects by using econometric techniques. The result derived from the ARIMA type models indicates that the total amount of the increased transshipment cargo during the last 7 years is about one million TEU. In the meanwhile, the multivariate long run equilibrium model implies that the increased transshipment cargo is less than 0.5 million TEU for the 7 years. Furthermore, the structural break tests indicate that the volume incentive does not change the model structures. It means that the effect of volume incentive is not statistically significant. Consequently, the test results conclude the effect of volume incentive on transshipment cargo is not significant although the volume of transshipment cargo is increased to some extent by volume incentive. Considering the magnitude of BPA's expenditure, we doubt the effectiveness of volume incentive. This study, therefore, encourages the port authority to research a more efficient way to induce transshipment cargo rather than focusing on only volume incentives.

• Journal of Korea Port Economic Association
• /
• v.37 no.4
• /
• pp.1-11
• /
• 2021

Port hinterland has been experiencing difficulty in generating new cargo volume and high value-added activity. It will be able to contribute to create new cargo volume and high added-value if transshipment cargo can be switched to trusted processing and then attract to port hinterland. This paper estimates items and volume size that can be the appropriate to attract in port hinterland and also be able to switch to trusted processing based on the trade data and manifest of transshipment container. The 50 items were classified from the result of trusted processing trade and the 33 items of them were suggested as the appropriate to attract in the port hinterland. The result shows that the 3.2 times transshipment cargo volume which is large than the total volume of trusted processing trade in Korea is transshipped at Busan port. This study is the first research to compare trade data and manifest of transshipment container, and thus it contributes to attracting firms in the port hinterland for the port authorities and the government.

• Journal of Navigation and Port Research
• /
• v.33 no.4
• /
• pp.277-282
• /
• 2009

This paper estimated the container volumes for the Incheon port with univariate time series. As best suited models Winters' additive model, ARIMA model,and Winters' additive model were selected by import-export, coastal, and transshipment volume respectively, based on the data of monthly volume by October 2008 since January 2001. This study supposed the import-export container volumes would be decreased by 14% against that in 2008 and would have been recovered to the increasing trend of the volumes beyond the fourth quarter of 2010. The future import-export and transshipment volumes showed the increasing trend beyond 2011, while the coastal volumes would be on the stagnation. The yearly container volumes were finally forecasted as 1,705, 2,432, and 3,341 thousand TEU in 2011, 2015, and 2020 respectively.

• Journal of Korea Port Economic Association
• /
• v.21 no.3
• /
• pp.35-59
• /
• 2005

The Purpose of this study is to exmaine fundamental problems of Gwangyang Port and draw up plans of its Hub Port. Gwangyang Port has been gradually reduced container cargo increase rate. on account of large development of Chinese Port, undevelopment of Hinterland, Port facilities of Gwangyang Port. We should develop hinterland to be closely connected with Port Cluster, Business City, Free Economic Zone to increase cargo volume. and in order to increase transshipment cargo volume, We should prepare diverse plans that can induce Chinese and Japanese transshipment cargo. Gwangyang Port and Busan Port should be managed united one port system by a Port Authority to strengthen international competitiveness. Activation of new ports for the most part call for full support by Government at the beginning. Gwangyang Port's future it can be if Government has strong will.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2020.11a
• /
• pp.169-170
• /
• 2020

Although Busan Port is a world-class transshipment port, it is geographically divided and, despite the continuous increase in transshipment volume, ITT port integrated operation is not being performed, reducing port operation efficiency. In addition, the operation raises the problem of inefficiency in social and economic aspects, along with an increase in the volume of transshipment transport and the resulting increase in transshipment transport costs. This paper deals with the necessity of forming an integrated operation organization to carry out the ITT joint dispatch in the process of improving the ITT efficiency in Busan Port, and the organization structure centering on the transport companies and freight owners performing the Busan Port ITT. We intend to make a proposal for the establishment of an integrated operation organization in the form of a consortium and support plans. In addition, through analysis of implications, the role of the ITT stakeholders in Busan Port and related organizations will be addressed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.59-60
• /
• 2018

Busan New Port has continued to expand its capacity to handle transshipment cargos exceeding 50 percent of its total volume, but it is considered inefficient because of the work scheduling based on the worker experience. In particular, depending on the transshipment task situation, which often requires an external truck, excessive congestion caused by the vehicle's delay can lead to increased logistics costs and social costs. One way to resolve this issue is to minimize the single transport of the truck and to maximize dual-cycle transport by putting the finished truck into another task. Therefore, we would like to study how to efficiently schedule transportation transshipment cargos between terminals considering dual-cycle.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.1
• /
• pp.153-162
• /
• 2013

This paper proposes the most simple method for optimal solution of the transshipment problem. Usually the transshipment problem is solved by direct linear programming or TSM (Transportation Simplex Method). The method using TSM has two steps. First it is to get a initial solution using NCM, LCM, or VAM, second to refine the initial solution using MOD or SSM. However the steps is complex and difficult. The proposed method applies the method that transforms transshipment problem to transportation problem. In the proposed method it simply selects the minimum cost of rows about transportation problem, and then it applies the method that assigns a transported volume as an ascending sort of the costs of rows about the selected costs. Our method makes to be very fast got the initial value. Also we uses the method that controls assignment volume, if a heavy item of cost is assigned to a transported volume and it has a condition to be able to transform to more lower cost. The proposed algorithm simply got the optimal solution with applying to 11 transshipment problem.