• Proceedings of the Korea Society for Simulation Conference
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• 2004.05a
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• pp.63-68
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• 2004

The objective of this paper is to analyze the combined productivity at container terminal. We present a mode3 for combined productivity that perform the container transportation between apron and yard. Usually, the efficiency of container terminal is evaluated by productivity of container cranes at apron, but there are other equipment such as transport vehicles and yard cranes. Therefore, a method that can estimate the combined productivity of equipment of container terminal is required. We performed various simulation experiment and analyzed combined productivity to estimate the required number of equipment.

• Journal of Navigation and Port Research
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• v.33 no.2
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• pp.153-159
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• 2009

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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.656-659
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• 2004

The objective of this paper is to analyze the combined productivity at automated container terminal. We present a simulation model for transport vehicle that perform the container transportation between apron and yard with a perpendicular yard layout. Usually, the efficiency of container terminal is evaluated by productivity of container cranes at apron, and though there are enough support of transport vehicles and yard cranes, can improve the productivity of container cranes. Especially, transport vehicle is very important factor in productivity of container cranes and has variable work productivity according to loading and unloading situation. Therefore, a method that can estimate combined productivity of equipment is required. We performed various simulation experiment and analyzed combined productivity to estimate the required number of equipment.

• Journal of the Korean Institute of Navigation
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• v.23 no.4
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• pp.77-88
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• 1999

Container terminal productivity is a critical factor for both the terminal operator and liner companies. For the former it is a determinant factor of the competitiveness and profit of terminal, and for the later it is one that determines ships' tern round time and hence ships' operation costs. The concept and measures of productivity are however not well defined and unified throughout terminals in the world. This paper therefore deals with the empirical study on the evaluation of container terminal productivity. It first clarifies the concept of terminal productivity, and secondly based on the actual data on container terminals in and outside Korea, productivity is evaluated and compared. Finally, problems hampered efficient operation of Korean terminals are derived, and several comments are suggested for solving them.

• Journal of Navigation and Port Research
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• v.28 no.4
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• pp.285-291
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• 2004

The productivity of container terminal is determined by its various operation methods. This paper aims at finding out the factors to enhance the productivity of container handling of quay crane, using simulation technique. Three levels of decision making in terminal operation, strategy, and tactics and operation are selected for defining parameters of simulation The result of the simulation and test shows that the significant factors to improve the productivity are the stack height of container, block dispersion and the distance in yard planning for shipment. Decision making in the operation level, however, is of significance in the mixed condition of strategic and tactical level. The result shows meaningful guidelines in decision making under strategic, tactical and operation level.

• Journal of Navigation and Port Research
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• v.30 no.4
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• pp.277-283
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• 2006

It is a world trend to construct large terminal and develop automated container terminal to attract Super Post-Panamax and provide service which is based on differentiation. In fact, there is insufficient research for automatization of terminal gate since the automatization of current constructed container terminal is only focused on increasing productivity and unmanned system through the automatization of quay, yard, etc. In this paper, we have investigated advantage/disadvantage of existing gate operation systems and compared each gate operation system in the aspect of raising terminal image and the productivity. For the specific study, we have used data from actual terminal gate operation and RFID model business sponsored by MOMAF (Ministry of Maritime Affairs and Fisheries). As a result, this paper carried out an efficient gate operation system and it has been expected that it will be performed as groundwork of automated gate operation system which is for design of container terminal and improvement of gate operation system.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.2
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• pp.1-17
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• 2010

This paper aims to compare four operating priority rules of RMGC (Rail Mounted Gantry Crane) used in semi-automated container terminal. The four priority rules employed in this paper are FCFS (First-come-first-served), LCFS (Last-come-first-served), TOS (Turn-over-served) and NFS (Nearest-first-served). And to compare the four operating priority rules, this paper analyzed productivity of RMGC and CC (Container Crane), waiting time of YT (Yard Truck) and RT (Road Truck) in container yard, and turnaround time of RT in container terminal of each priority rule by using stevedoring simulation. As a result, NFS was evaluated as the best rule to improve the overall productivity of container terminal in terms of all criteria.

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.138-147
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• 2021

The need for analysis of the operational efficiency and productivity of the Busan Port Container Terminal is increasing because of the Hanjin Shipping's bankruptcy and the re-establishment of the Maritime Alliance. This paper analyzes the efficiency and productivity of five Busan New Port Container Terminal companies by using the DEA analysis and Malmquist productivity index model based on the port construction disclosure data and the collected terminal internal data. According to the analysis, the average efficiency of the five container terminals increased in 2018 but declined slightly in 2019, and the Malmquist index showed that all terminals except A have advanced productivity. Additionally, relative to facility productivity, operators at the North Container Terminal had higher facility productivity than operators at the Busan New Port Nam Container Terminal, and regarding capital productivity, the D terminal ported by HMM, a national shipping company, was the highest in facility productivity. Regarding labor productivity, the C terminal showed the highest productivity, and regarding ship work productivity, the A terminal showed the highest productivity.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.1
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• pp.49-57
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• 2006

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.

• Journal of Korean Port Research
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• v.14 no.1
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• pp.13-26
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• 2000

In this paper, we compare and analyze the current state of the productivity of the stevedoring work among several container terminals in 1999. Based on these results of analysis, we firstly classify several factors which impede the efficient operations of container terminal as follows ; late arrival of container beyond cargo closing time(CCT), change of port of destination, change of vessel, and return cargo. Such factors are major cause for the cargo rehandling on terminals, thus deteriorate the overall performance of transfer crane during the stevedoring work. In order to improve the productivity of container terminal, we suggest that it is necessary for establishing and operating the efficient logistics management system. Especially, we emphasize the importance of information exchange on the scheduled cargoes among the relevant parties such as shippers, shipping companies, and terminal operators, which is the most effective way to alleviate the cargo rehandling.