[논문]Critical Factors for Container Terminal Productivity

Park, Nam-Kyu; Kim, Joo-Young

doi:10.5394/kinpr.2009.33.2.153

Critical Factors for Container Terminal Productivity 원문보기

한국항해항만학회지 = Journal of navigation and port research, v.33 no.2 = no.138, 2009년, pp.153 - 159

Park, Nam-Kyu (Department of Distribution Management, Tong-Myoung University) , Kim, Joo-Young (Department of Distribution Management, Tong-Myoung University)

Abstract ▼ AI-Helper

The awareness of the high-value industry for container terminal leads competitiveness of container terminals to keep high fiercely. In regards to competitive factors of container terminal, the most important point among several factors is seemed to be the speed of container loading and unloading on quayside. In container terminals in Korea, the productivity shows big difference even though its condition is similar to each terminal. The objective of this paper is to find the critical factors of container terminal productivity, which is dependant upon the capability, quantity of quay crane, transfer vehicle, and so on. For this purpose, we have researched related literatures, and collected data about container terminals in South Korea. Furthermore, we tested sensitive analysis to evaluate the extent of productivity by changing independent variable. And then we established the regression model to evaluate which factor has had the biggest impact on productivity. The results of this paper can give terminal operators guideline to improve productivity.

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문제 정의

The goal of this study extracts the major factors which influences to container terminal productivity and define relationship with the productivity factors and productivity. Setting up concept of container terminal productivity Generally speaking, the productivity is defined as a ratio of input and output volume of factors in production.
This result is similar to the study that the productivity in Busan port which the mean length of berth is 289m is lower than foreign competitive port which the mean length of berth is 304m. The result of this study will contribute to give tips for the priority of investment for an improvement of productivity in constructing or under operation.
This study aims at extracting the major factors which affect gross berth productivity (GBP) in Korean port. Furthermore the paper tries to identify the relationships between dependent variable and independent variable and the order of importance among the factors as to improve productivity in Korean container terminal.
This study considers the container terminal productivity with unit productivity. The unit productivity means gross berth productivity (GBP), which is calculated with formula which divides annual total throughput of the terminal by total berthing time and number of berths in standard dimension.

제안 방법

variables can be established. After collecting data, regression analysis is done by procedure such as enter, remove, stepwise, forward and backward, with using GBP as dependent variable.
So, this study intended to find out relationship between productivity indicator and its factors impacting productivity, and also the factors order of impacting productivity while defining the concept of productivity in container terminals.
This study try many methods, such as Enter, Remove, Backward, Forward, Stepwise, and then Backward is selected as the best method for results.

대상 데이터

2006. Eight terminals located in Busan, four containers in Gwangyang, three terminals in Incheon and two terminals in other area in Korea. As two terminals in Incheon and other city among target terminals just opened, they are excluded from analytical process because it does not keep normal operation.
The unit productivity means gross berth productivity (GBP), which is calculated with formula which divides annual total throughput of the terminal by total berthing time and number of berths in standard dimension. The applied data is gathered from 16 container terminals of Korea. In the process of data analysis, some data are found to be difficulty to measure, and it has been excluded from statistical analysis.
After verifying potential factors, we made the regression model and did model test using ANOVA statistics. The experimental data is collected in scope of container terminal which opened in South Korea.

데이터처리

interview and site observation. After verifying potential factors, we made the regression model and did model test using ANOVA statistics. The experimental data is collected in scope of container terminal which opened in South Korea.
<Table 6> summarized the results of regression analysis in making GBP with dependent variable in port of Busan and in port of Gwangyang.

후속연구

port. Furthermore the paper tries to identify the relationships between dependent variable and independent variable and the order of importance among the factors as to improve productivity in Korean container terminal.

참고문헌 (14)

Acosta, M.(2007), "Port Competitiveness III Container Traffic from an Internal Point of View: the Experience of the Port of Algeciras Bay", MARIT.POL.MGMT, VOL. 34, NO.5, 501-520

상세보기
CAl, Y.(2006), "Simulation optimization for berth allocation in container terminals", Chinese Journal of Construction Machinery
Carlos, P.(2007), "Comparing Productivity Change in Italian and Portuguese Seaports Using the Luenberger Indicator Approach", Maritime Economics & Logistics

상세보기
CCDoTT(2000), "Center for the Commercial Deployment of Transportation Technologies", Port Economy
Chen. Y(2006), "Europe and Asia Standard Container Berth Production Technology Application Comparative Analysis", China Water Transport
Choi, Y.S.(2006), "A Technical Review of Container Terminal Remodeling : the Case of Busan Port ", Journal of Korean navigation and port research

원문보기 상세보기
GU, M.(2006), "Energetic Singapore container terminal", Port Economy
Kim, K. Y.(1999), "A Routing Algorithm for a Single Straddle Carrier to Load Export Cotainers onto a Containership", International Journal of Production Economics Vol. 59, pp. 425-433

상세보기
Park, N.K.(2004), "A Simulation Model for Improving the Productivity of Container Handling in the Container Terminal", International Journal of Navigation and Port Research

원문보기 상세보기
Park, N.K.(2006), "Port Logistics System Using Simulation Technology", Bumhan Publsiher, Seoul, Korea
Peng, C.S.(2007), "Comparing China Container Terminal with Foreign Mega-Container Terminal Productivity", Transport market
Prabir, D.(2006), "Total Factor Productivity Growth: Indian Ports in the Era of Globalization", Maritime Economics & Logistics
Sachish, A(.1996), "Productivity functions as a managerial tool in Israeli ports", MARIT. POL. MGMT., vol. 23, No.4, 341-369

상세보기
Yoo, M.J.(2003) "Evaluation of Container Terminal Types", Journal of Korean navigation and port research

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Critical Factors for Container Terminal Productivity 원문보기

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