• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.43-50
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• 2002

Competition to attract the increasing container cargoes of North China and the West Japan in North-East Asia region is fairly intensed in recent days between the main ports of Korea, China, and Japan. Inducing a new container cargo make those countries possible to invest enormous fund to mordernize its port facilities, as well as to improve efficiency in Port operation and management. In this situation, Strategy to attract transshipment cargoes is of the immediate necessity, This study, therefore, aims to establish the feasible strategies to attract transshipment container cargoes in the North-East Asian region by empirical analysis, he major output of the research is as follows : First, Busan Port to attract transshipment cargoes is required to adjust port tariff and free storage period with flexibility for liner shipping companies and freight forwarder. Second, Price-Demand function of Busan port between main competitive ports in North-East Asian region that is derived from strategies to attract transshipment cargoes, helps marketing manager to fix scientifically port price as understanding the change of demand quantity.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.169-186
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• 1994

This paper presents three mathematical programming approaches to solving transshipment problems with interval supply and demand requirements. A linear goal programming model was developed based on the data obtained from a nationwide retail firm. Three mathematical programming model results were compared and analyzed, and three separate hypotheses were examined by using the Wilcoxon signed-ranked test for the model applicability. The test results were analyzed and interpreted for decision making.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.175-197
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• 2010

The purpose of this paper is to develop a new strategy from a different angle to become a preferred transshipment hub for sustainable growth. This study would derive new competitive factors through the case study on a global carrier 'A' who shows constant growth in transshipment via Busan and the questionnaire survey was conducted. As to analysis results by matrix, Busan Port needs to strengthen its competitiveness against North China ports due to less local import/export cargo volume and less government support while North China ports continue to be developed with incremental direct calling and government's flexible cabotage rule.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.11a
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• pp.45-51
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• 2002

As the circumstances surrounding world ports have changed rapidly, Port competition to attract more cargoes is increasing fiercely. Especially, fierce competition to attract the increasing container cargoes has cause main container ports on only to invest enormous fund to modernize its port facilities but also to improve efficiency in port operation and management. But, it is hard to build differentiation strategy with general port operation according to investing continuously enormous fund into main ports. In this situation, port marketing like 4P mix is of the immediate necessity and in this point, this paper estimated Brand Equity that have risen the core ability of marketing strategy, to transshipment port using Conjoint Analysis. In this analysis result, this paper shows that the brand equity of port significantly devoted to selection of transshipment port. This means that brand of port can attract considerable transshipment cargo. Then it have to induce customer loyalty for this brand extension.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.309-314
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• 2006

The amount of transshipment cargoes had been increased in Korea ports due to the rapid Chinese economic growth and the lack of facilities in Chinese ports. Recently, this increasing rate of transshipment cargoes in Korean ports is declining because Shanghai port is developing and establishing direct calls and shipping lines to China. Therefore, it is considered a big obstacle for Busan port to be a hub port. Due to that fact, an innovative development of domestic ports is necessary in order to overcome this obstacle. This paper analyzes the cargo O/D between Busan port and Japanese ports, and logistics costs are analyzed when Japanese cargoes are transshipped in Busan port.

• IE interfaces
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• v.13 no.3
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• pp.471-478
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• 2000

One of the most important problems encountered by parcel transportation firms or LTL (Less-than-truckload) firms is the planning of daily linehaul operations. The transportation firm's goal is to determine the most efficient way to move all freight from its originating terminal to its destination terminal after each shipment is picked up from the shipping dock. The purpose of this study is to design a transportation system and develop an efficient scheduling algorithm for linehaul operations carrying small amount of shipment. This paper presents three approaches for efficient linehaul operations. The first approach examines drivers using the roundtrips which start from a terminal, visit several terminals, and return to the starting terminal. The second approach uses a freight assembly center where drivers take freight for a number of destination terminals which they then swap for freight for their starting terminal. The third approach is similar to the second approach in that it uses a transshipment point like a freight assembly terminal for shipment, but it has several transshipment points since each shipment may have a different transshipment point. In this study, we developed a mathematical formulation and algorithm for each approach. The experimental results using data of a LTL firm show that the third approach is more efficient than the other two. Mileage and overnight stays of the third approach are reduced by 10% and 30%, respectively.

• Journal of the Korean Society for Railway
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• v.13 no.5
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• pp.535-540
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• 2010

We present an optimization model for how to assign the freight trains to transshipment tracks and allocate the containers to the freight trains in a rail container terminal. We formulate this problem as a multi-criteria integer programming to minimize the makespan of job schedule and simultaneously to maximize the loading throughput, i.e. the number of containers to be disposed per day. We also apply our model to the instance obtained from the real-world data of the Uiwang Inner Container Depot. From the experiments, we can see an improvement of approximately 6% in makespan, which means that our model can contribute to the improvement of the disposal capacity of containers without additional expansion of facilities.

• Journal of Navigation and Port Research
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• v.45 no.2
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• pp.75-86
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• 2021

This paper intends to evaluate the policies which are considered necessary to enhance the T/S competitiveness of Busan's port, and thereby present suggestions to the government which would best implement the results of this research. This research first raises the claim that the majority of the following four conditions: location of the port, port productivity/service level, status of network with overseas ports, and cost competitiveness, should be satisfied in order to maintain a competitive T/S port. Based on these four conditions, seven policies, which are individually pertinent to the four conditions, have been drawn up for proposal, and they are also analyzed in the survey, where all the eligible samples participate to ensure if they are effective in enhancing the T/S competitiveness of Busan. Proposed important policies are a) Terminal operator integration, b) port infrastructure expansion, c) global carriers owned terminal operation, d) enhancement of national carrier's competitiveness, e) feeder carriers' owned terminal operation in new port, f) institutional support for effective and convenient environments for handling T/S cargo, and g) volume incentive expansion. From the analysis by which all the relevant parties (Carriers, Terminal Operators, Port Authority) are answered, it was found that all the seven policies have relevance in strengthening the transshipment competitiveness of Busan's port. Whereas in the analysis that uses AHP methodology to compare the significance among the different policies, it was found that terminal operator integration has the highest priority in terms of increasing transshipment competitiveness.

• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.

• Journal of Navigation and Port Research
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• v.44 no.1
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• pp.44-52
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• 2020

More accurate forecasting of port cargo in the global long-term recession is critical for the implementation of port policy. In this study, the Busan Port container volume (export cargo and transshipment cargo) was estimated using the Vector Autoregressive (VAR) model and the vector error correction (VEC) model considering the causal relationship between the economic scale (GDP) of Korea, China, and the U.S. as well as ARIMA, a single volume model. The measurement data was the monthly volume of container shipments at the Busan port J anuary 2014-August 2019. According to the analysis, the time series of import and export volume was estimated by VAR because it was relatively stable, and transshipment cargo was non-stationary, but it has cointegration relationship (long-term equilibrium) with economic scale, interest rate, and economic fluctuation, so estimated by the VEC model. The estimation results show that ARIMA is superior in the stationary time-series data (local cargo) and transshipment cargo with a trend are more predictable in estimating by the multivariate model, the VEC model. Import-export cargo, in particular, is closely related to the size of our country's economy, and transshipment cargo is closely related to the size of the Chinese and American economies. It also suggests a strategy to increase transshipment cargo as the size of China's economy appears to be closer than that of the U.S.