• Journal of Korea Port Economic Association
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• v.31 no.3
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• pp.155-166
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• 2015

This study selected container terminals of Gwangyang and Busan Ports to evaluate the influence of efficient container terminals. For the study, after data envelopment analysis (DEA) using the CCR and BCC models, the decision-making unit (DMU) system was used to define nodes; and with the use of a reference group in DEA (BCC model) and a lambda value, this study created a social network and analyzed the influences of efficient DMUs through a centrality analysis of eigenvectors. The results are presented as follows: First, as a result of the DEA, CCR efficiencies in PNC, HJNC, and HPNT container terminals of Busan Port were 1 and BCC efficiencies at Singamman Terminal, Wooam Terminal, PNC, HJNC, HPNT, and BNCT container terminals of Busan Port were 1. Second, as a result of undertaking social network analysis (SNA), according to an eigenvector centrality analysis, HJNC Terminal was referred to the most (influence score of 0.515), which indicates that it is the most influential as a container terminal. The influence of PNC Terminal was 0.512, while that of Wooam Terminal was 0.379. CJ Korea Express in Gwangyang Port was ranked fourth in influence, but its influence score of 0.256 indicates that it was the most influential of the container terminals at Gwangyang Port.

• Journal of Navigation and Port Research
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• v.42 no.1
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• pp.39-46
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• 2018

Strategic partnerships of alliances and large shipping companies have been steadily launched in shipping market. Converting these alliances into customers and maintaining them important hub port status. The cases of container terminals to establish a political strategy based on. On the other hand, bulk terminals are relatively unexplored container terminal and bulk terminal are included in the same category of port empirical research from the overall perspective. Therefore, analysis of structural equations was utilized in this study. Analysis of the entire measurement model showed that all items except "Results - Intention of renewal" on bulk terminals were significant. This study is expected to contribute to promotion of empirical studies in various levels by compare container terminals and bulk terminals.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.43-60
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• 2010

The purpose of this paper is to show the clustering measurement way for Korean container terminals by using neural network based SOM(Self Organizing Map). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both DEA and SOM models. Empirical main results are as follows: First, the result of DEA analysis shows the possibility for clustering among the terminals and reference terminals except Gamcheon and Gwangyang terminals because of the locational closeness. Second, the result of neural network based SOM clustering analysis shows the positive clustering in clustering positions 1, 2, 3, 4, and 5. Third, the results between SOM clustering and DEA clustering show the matching ratio about 67%. The main policy implication based on the findings of this study is that the port policy planner of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the clustering measurement way for the Korean container terminals using neural network based SOM with DEA models for clustering Korean ports and terminals.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.239-247
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• 2007

Recently, the development of an evaluation method with operational rules have become issues for efficient planning and operations of container terminals. Container terminals are required to have enough berths and container yards as well as various equipments and facilities, but in reality there are many differences in their resources owing to the circumstances of each terminal. This study introduces a simulation model to evaluate various operation rules for teaching and training in class. This paper can analyze various factors (e.g. throughputs, yard and berth occupancies, etc.) and shows operational alternatives considering design factors of a container terminal with the related circumstances of each terminal.

• Journal of Navigation and Port Research
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• v.27 no.4
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• pp.403-407
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• 2003

A basic concept of TAS(Tractor Appointment System), which not only enhances the terminal productivity, but also yields higher efficiency of domestic CT(Container Terminal), is developed in this paper for CT to more competitive and serviceable. To analyze the effects of TAS when applied to the existing four-tier CT, a quantitative analysis is performed. The results showed that the number of rehandling time of CT has been significantly decreased, the efficiency of CT increased, and the flow time of trucks in CT reduced in a great deal

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.179-194
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• 2012

In this study, we compared the efficiency of container terminals using DEA. To do this, we designed an AHP/DEA hybrid model using AHP and DEA, and evaluated the efficiency by comparing the container terminal operation company in Gwangyang(KEC, KIT, GICT) and Busan(HBCT, DPCT, KBCT, UPT, Gamman, PNC, PNIT, HJNC, HPNT). The proposed model can control the number of selected promising container terminal by applying DEA-AR model. This model can also improve the credibility of analysis by using objective weights through the AHP application to efficiency evaluation data and normalizing the evaluation data to apply AHP and DEA. The model assumes inputs to be container crane, transfer crane, yard tractor, and reach stacker and output as container traffic. The result shows that DPCT was an efficient DMU.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.165-166
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• 2015

Due to the international economic downturn and the increasing competition, container terminals have been trying to achieve cost effectiveness and high service levels. Shipping companies want to get better services from container terminals but container terminals only have limited space and equipment. Frequently, too many external trucks come to the terminal at the same time, and create bottle necks at the terminals. Ouside the container terminals traffic jams occur as well. As a result, stakeholders need a vehicle booking system. By VBS, container terminals can plan efficiently in advance to avoid work delay and the truck drivers can finish their jobs quickly. This paper aims to search efficient models for the container terminals by using VBS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.331-336
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• 2004

In order to strengthen the competitiveness of port against calling for the huge vessel and reducing the shipping service time, the productivity of container terminal must be improved. This productivity variously results according to the kinds of productivity evaluation model, input elements like yard, equipment, employee, facility, etc,. But, it is discussed that the productivity is measured by partial productivity evaluation model or general input elements. Therefore, we measured for the productivity of the container terminal using the Developed the data Envelopment Analysis (DEA), which is developed in order to evaluate the relative efficiency of decision making units - it's difficult to clear cause and effect between input and output. We measured the whole productivity of container terminal in Busan according to decision of the correct input elements. And we investigated the change of the productivity measurement result according to input elements, presents more accurate productivity evaluation model in container terminal.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.223-230
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• 2003

KCTA(Korea Container Terminal Authority) is going to introduce automated operating system in the port of Gwangyang container terminal to enhance the efficiency. Prior to developing the container terminal, defining the objective of container terminal operation is essential. This research used AHP technique to define the operation objective of automated container terminal objectively, and the questionnaire to collect the opinions of future customer, operator and research institution. The objectives mix of the automated container terminal are composed of the minimization of initial investments, the minimization of operational expenses, the performance of automation system, the raising of operation efficiency and productivity and the improvement of customer service. The result of the analysis revealed that most important factor among objectives mix was “the minimization of operation expense”. Especially, the user group preferred to select the factor of “the improvement of customer service”as objective rather than select other objectives. The result of this research will suggest some guidelines for deciding the level of investment of terminal construction. information system, automation equipment, terminal worker and etc., which are to be considered in terminal development and the system development hereafter.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.50-52
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• 2010

본 연구는 컨테이너터미널의 생산성 최대화를 위한 장비 작업조건(애로공정 및 개선방향) 우선순위를 결정하는 방법을 제시하고자 다기준의사결정법으로 많이 이용되고 있는 AHP(Analytic Hierarchy Process, 계층분석과정)기법을 이용하였다. 본 연구에서는 컨테이너터미널의 주요 요소를 야드장비 영역, 이송장비 영역, 안벽장비 영역, C/CENTER(통제센터) 영역으로 구분하여 터미널 실무전문가를 대상으로 설문을 진행한 후 AHP기법을 활용하였다. 분석결과에 따르면, 생산성 최대화를 위한 우선순위는 야드 장비부분이 가장 중요도가 높게 나타났으며 안벽장비, C/CENTER, 이송 장비 순서로 중요도가 나타났다.