• Journal of Fisheries and Marine Sciences Education
• /
• v.26 no.6
• /
• pp.1442-1450
• /
• 2014

The aim of this study is to develop a model for the alternative selection in port privatization using Brainstorming, the ISM and AHP methods. For this, 30 detailed attributing factors were identified by both previous studies and port users, Also, 13 attributing evaluation factors were identified by a group of port experts using the brainstorming method. These were made into a model of hierarchical structure with 3 levels, taking 1 goal factor, 5 evaluation factors and 7 alternative factors using the ISM method. The collected date of questionnaires through the AHP method were analyzed with a group of port experts for an empirical analysis. The result of the hierarchical level 2 shows that profitability is the most important factor, followed by public interest, management professionality, service quality and financial soundness. The analysis results of hierarchical level 3 shows that commercialization is the most important factor.

• Journal of Navigation and Port Research
• /
• v.28 no.6
• /
• pp.525-530
• /
• 2004

Due to the rapid growth of Chinese ports, currently, research for the improvement of competitiveness of Busan port have been intensively studied. These research have mostly evaluated or analyzed competitiveness of ports, and then, based on results of analysis, have suggested some strategies for enhancing competitiveness of Busan port. However. although implications of these previous studies are practically available to build policies for Busan port, basic studies such as identification of port competitiveness( or port selection) related factors for reasonable evaluation and analysis which have contributions in academic area have been very rare. The primary objective of this study is to investigate port selection criteria, based on empirical data Especially, in this study, we classify internal /external factors, and present importances of external factors that have yet to be empirically identified in previous studies.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2004.04a
• /
• pp.357-362
• /
• 2004

Due to the rapid growth of Chinese ports, currently, research for the improvement of competitiveness of Busan port have been intensively studied. These research have mostly evaluated or analyzed competitiveness of ports, and then, based on results of analysis, have suggested some strategies for enhancing competitiveness of Busan port. However, although implications of these previous studies are practically available to build policies for Busan port, basic studies such as identification of port competitiveness( or port selection) related factors for reasonable evaluation and analysis which have contributions in academic area have been very rare. The primary objective of this study is to investigate port selection criteria, based on empirical data. Especially, in this study, we classify internal／external factors, and present importances of external factors that have yet to be empirically identified in previous studies.

• Journal of Navigation and Port Research
• /
• v.27 no.5
• /
• pp.547-555
• /
• 2003

A Port Authority system has been regarded as one of the efficient ways of port management. The Korean government is thus now planning to set up such a system into the Busan Port. Busan New Port is located in Kadok Island but divided Busan and Kyongnam administrative district, so complicated in the appropriate selection to Busan New Port Administration. The research method which was used in this study accounted for overlapping between attributes, and introduced the HFP( Hierarchical Fuzzy Process) method that can perform an operation.

• Journal of Korea Port Economic Association
• /
• v.38 no.4
• /
• pp.199-214
• /
• 2022

A relative important analysis was conducted to determine what factors are required for port selection in Mokpo New Port and what needs to be addressed first in order to expand automobile and steel cargo handling. The port selection factors of Mokpo New Port were classified into 4 major and 13 intermediate categories, and AHP analysis was used. As a result, items such as 'port facilities', 'accessibility to international ports', 'port facility usage fees', and 'connectivity with neighboring cities/ports' were evaluated as important. The respondent groups were divided into shipowner and shipper, port operator and stevedore, and public official, and an analysis of variance (ANOVA) was conducted to verify if there was a difference in perception between the groups. As a result, shipowner and shipper, port operator and stevedore were similar, but there was a difference from public official group. Shipowner and shipper, port operator and stevedore with similar response characteristics were classified into the 'port practitioner' group, and public official were classified into the 'port policy maker' group, and the difference in perception between the group was tested. Therefore, there were differences in some major category items, and even in the intermediate category items such as 'possession of adjacent hinterland industrial complex', 'cargo equipment', '24-hour port operation', 'inland transportation cost', 'accessibility to international ports', 'marketing and incentives' with statistical. In other words, the 'port practitioner' group evaluated items that can increase cargo creation and handling productivity as important whereas the 'port policy maker' group considers port development and policies such as port infrastructure, connectivity with other ports, and incentive support items are more important.

• Journal of Korea Trade
• /
• v.23 no.2
• /
• pp.59-75
• /
• 2019

Purpose - The International Maritime Organization (IMO) has promulgated strict regulations on emissions in the maritime shipping industry. LNG (Liquefied Natural Gas) is, therefore, recognized as the optimal fuel alternative solution. The aim of this study is to select the most suitable location for an LNG bunkering port. This is formulated as a multiple-criteria ranking problem regarding four candidate ports in South Korea: the ports of Busan, Gwangyang, Incheon, and Ulsan. Design/Methodology/approach - An analysis employing the Consistent Fuzzy Preference Relation (CFPR) methodology is carried out, and the multiple-criteria evaluation of various factors influencing the location selection, such as the average loading speed of LNG, the number of total ships, the distance of the bunkering shuttle, and the degree of safety is performed. Then, based on the combination of both the collected real data and experts' preferences, the final ranking of the four ports is formulated. Findings - The port of Busan ranks first, followed by the ports of Gwangyang and Ulsan, with the port of Incheon last on the list. Originality/value - The Korean government could proceed with a clear vision of the candidate ports' ranking in terms of the LNG bunkering terminal selection problem.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.30 no.4
• /
• pp.62-70
• /
• 2007

Recently, the increasing trend for the transshipment traffic of Busan port in Korea is slowing down because of the extensive development plan of domestic ports in china. For solving this problem, Korea is going on the project for preoccupying the transshipment port for attraction of port traffic from the newly potential markets(NPM) based on the Northeast Asia area. As a part of the project, this paper proposes the efficient methodology for selecting the optimal shipping network and strategic transshipment port within NPM using the mathematical models and simulation analysis. For that, we firstly find the alternative transshipment ports within NPM through the status analysis of the current port traffic and shipping network and then, we choose the candidate transshipment-ports in order of minimizing the transport costs through the mathematical approach. With the scenarios based on the selected transshipment-ports, we perform the simulation analysis for choosing the optimal transshipment-ports and the shipping network minimizing the total costs and times concurrently. We expect that the results of this paper will be used efficiently when korea select the strategic transshipment-port in the future.

• Journal of Navigation and Port Research
• /
• v.30 no.3 s.109
• /
• pp.219-226
• /
• 2006

To correspond actively to international economy, shipping and port environment change, world main ports have converged in competitiveness raising. However, existing researches have been intensively analyzed port competitiveness on among ports. So, this study analyzes the relations between the main factors of port selection and port competition players: central government, port authority, terminal operators, shipping companies, etc. This paper has a purpose that each port competition player makes a competitive strategy in accordance with this study. First, this study reviewed shipping and port market's environment change and port selection decision factors to correspond to these environment changes and on the basis of this review analyzed relativity between component port competition players and port competition factors. However, port authorities and terminal operators appeared high relevance about in side of expense, service, facilities etc. Because port authorities offered incentive to pull many shipping companies to their ports and terminal operators managed port authorities' ports. But we could deduce high relevance according to other market players' properties without port authorities and terminal operators. Port marketing strategy establishment among port competition players is available on the basis of these factors.

• Journal of Korea Port Economic Association
• /
• v.38 no.3
• /
• pp.15-28
• /
• 2022

Bunkering refers to the supply of bunker fuel necessary for the ship operation, as well as minimizing the price and supply cost of fuel itself, and includes supplying good quality fuel oil in a timely manner and at the optimal port. Bunkering is an important criterion in terms of cost for shipping companies because bunkering involves a significant cost to the purchaser of bunkering from the time of initial purchase. This study aims to prioritize selection criteria for tramper companies to call port for bunkering. For this study, the variables were selected by analyzing the common criteria such as price, location, bunker quality and service and infrastructure etc. employed in previous studies. The AHP method was employed to prioritize the criteria in order. As a result of the analysis, the high level factors appeared in the order of price, location, bunkering quality and port service and infrastructure factors. The importance of price criterion and location criterion was found to be high. In the low level criterion of price, the bunker price per MT was ranked first in importance. In terms of location criteria, the location on the main trade route was high. In the low criteria of bunker quality and port service, the bunkering available types and bunker quality were found to be important factors, and in the low level criteria of infrastructure, anchorage and availability of bunkering during loading and discharging and port security factors were found to be important criteria. This study provides the guidelines for research designed to compare the bunkering port selection factors and to derive their importance suggesting the ways to enhance competitiveness as a bunkering port.

• Journal of Navigation and Port Research
• /
• v.33 no.4
• /
• pp.271-275
• /
• 2009

A strategic decision making on location selection for product transportation includes many tangible and untangible factors. To choose the best locations is a difficult job in the sense that objectives usually conflict with each other. In this paper, we consider a multi stage multi criteria transshipment problem with different types of items to be transported from the sources to the destination points. For the optimization of the problem, a goal programming formulation will be presented in which the location selection for each product type will be determined under the multi objective criteria. In the study, we generalize the transshipment model with a variety of product types and finite number of different intermediate nodes between origins and destinations. For the selection of the criteria we selected the costs(fixed cost and transportation cost), location numbers, and unsatisfied demand for each type of products in multi stage transportation, which are the main goals in transshipment modelling problems. The related conditions are also modelled through linear formats.