• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.289-295
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• 2004

The objective of this paper is to analyze the equipment combination of stevedoring system at port container terminal. In general, the productivity 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 optimal equipment combination of stevedoring system in container terminal is required. We perform various simulation experiment and analyze equipment combination to improve the productivity. From the application of the case study, we demonstrated the savings effect using mean waiting time rates by the equipment combination.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.4
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• pp.460-471
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• 2011

A port has been regarded as a significant contributor to air pollution in the surrounding areas. Port-related air pollutants are released from not only marine vessels, but also various land-side sources at ports, which include cargo handling equipment, vehicles, locomotives, and fugitive dust sources by port activities such as bulk handling and vehicle movements. However, most studies in Korea have only focused on vessel emissions and there is a lack of information on the emissions from other sources at port. In this study, in order to establish the port-related emission inventory and evaluate the relative contribution of these sources to air emissions from the Port of Incheon, the emissions from land-side sources were estimated and the CAPSS (Clean Air Policy Support System) data for vessel emissions were used. In particular, the detailed information and activity data for the cargo handling equipment source were collected and the emission factors and emissions by equipment types were calculated using U.S. EPA methodologies. Total HC, CO, $NO_x$, $PM_{10}$, and $SO_2$ emissions from port-related sources including the vessel in 2007 were calculated as 229 ton/year, 638 ton/year, 4,861 ton/year, 307 ton/year, and 3,995 ton/year, respectively. It was found that the vessel was the largest contributor to air pollutant emissions from the port, the cargo handling equipment was responsible for about from 8% to 13% of HC, CO, and $NO_x$ emissions and the resuspended road dust contributed about 39% for $PM_{10}$ emissions. The results of this study will be used to establish the management and reduction strategies of air pollution in the port.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.177-185
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• 1999

This paper deals with the case study that determine the best equipment scale to be satisfied a handing capacity of the container terminal using computer simulation techniques. The objective of this study is to suggest an operation alternative of equipment scale including container canes, transfer cranes, and yard tractors which reflects a container throughput. For the simulation, the object-oriented simulator with the special purpose of container terminal analysis is used. And the used simulator was developed to simulate the transfer crane based container terminal for yard equipment. Using the simulator, we test an existing port container terminal, PECT(Pusan East Container Terminal).

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.133-150
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• 2015

This study estimates greenhouse and noxious gas emissions caused by cargo-handling equipment at the Port of Incheon in 2013 by applying the NONROAD Model (U.S. EPA). The port emitted 838.4 tons of NOx and 82,747 tons of CO2. The estimates are 2.4 times higher for NOx and 1.3 times higher for CO2 than those of the Port of Los Angeles. Emissions from general cargo-handling equipment are five times more than those from container cargo-handling equipment. Among the three ports comprising the Port of Incheon, the emissions at the North Port, which handles raw materials for industry are relatively higher than those at the other ports. Compared to the study conducted by Chang et al. (2013, 2014), this study finds that CO2 and NOx emissions per cargo-handling equipment are 10 times higher than the corresponding amounts per ship.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.339-344
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• 2006

Container terminals compete with other ones because of the continuous increase of container flows and the appearance of large-sized vessels. Major port equipment manufacturers are interested in the development of new conceptual equipment ot greatly increase the productivity. In this study, a two-phase procedure is suggested for selecting the optimal development alternatives, when there are various development alternatives for container cranes, typical equipment in ports. The first phase removes the alternatives that violate essential requirements and the second phase selects find alternatives by using AHP (Analytic Hierarchy Process). Finally and example applying the procedure is provided.

• Journal of Korean Port Research
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• v.12 no.2
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• pp.261-268
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• 1998

The productivity of port labor in Pusan port is very low and the ratio of port accident is high in comparision with other advanced foreign ports. The aim of this paper is to find why the productivity in Pusan port is much lower than that of other countries in terms of port labor education systems. To obtain the objective of this study, the writers used 163 questionnaire for port labor in BCTOC, PECT and UTC for the survey of training method of cargo equipment handling. The result of this study shows as follows; (1) From the fact that ratio of labor who were trained by KPTI was 2.5%, we could say the public training system of port labor is not operated properly (2) As most of laborers are trained by the experienced associate, they do not recognize how the level of cargo handling equipment is set to increase the productivity. (3) In order that the port public training system plays a good role in port industry, a new license system should be introduced and an expert education system should be developed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.315-322
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• 1998

It is discussed how to route yard-side equipment during the loading operation in port container terminals. The number of containers to be picked up at each yard-bay, as well as the route of a yard-side equipment (for example, transfer crane or straddle carrier) in a yard, are determined. The objective of the problem is to minimize the total container handling time in the yard. An encoding method to represent nodes in the search space is introduced utilizing inherent properties of the optimal solution by which the search space is greatly reduced. A beam search algorithm is suggested. A numerical experiment is carried out to compared the performance of the beam search algorithm with those of other approaches.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.4
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• pp.645-660
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• 1997

An application of the genetic algorithm(GA) to the loading sequencing problem in port container terminals is presented in this paper. The efficiency of loading operations in port container terminals is highly dependent on the loading sequence of export containers. In order to sequence the loading operation, we hove to determine the route of each container handling equipment (transfer crane or straddle carried in the yard during the loading operation. The route of a container handling equipment is determined in a way of minimizing the total container handling time. An encoding method is developed which keeps intermediate solutions feasible and speeds up the evolution process. We determine the sequence of each individual container which the container handling equipment picks up at each yard-bay as well as the visiting sequence of yard-bays of the equipment during the loading operation. A numerical experiment is carried out to evaluate the performance of the algorithm developed.

• Journal of Navigation and Port Research
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• v.28 no.7
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• pp.587-591
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• 2004

In order to measure the performance of resources in a port container terminal, we conducted a state transition network simulation to model various equipment processes. The processes that container cranes and transfer cranes perform are idle, wait, move, and work. Vehicles perform idle, wait, empty travel, and full travel. Because cranes, vehicles, and vessels are movable entities and all equipment is classified as either a customer or server, we separated the various stages of the process based upon the state transition network To validate the simulation results, a real system was used to illustrate the use of various measurements using the state transition network.

• Journal of Navigation and Port Research
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• v.29 no.1 s.97
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• pp.91-96
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• 2005

The National Marine Electronics Association(NMEA) is nonprofit-making cooperation composed with manufacturers, distributors, wholesalers and educational institutions. We use the basic port of equipment in order to process the signal from NMEA signal using equipment. When we don't have enough one, we use the multi-port for processing. However, we need to have module development simulation which could multiplex and provide NMEA related signal that we could solve the problems in multi-port application and exclusive equipment generation for a number of signal. For now, we don't have any case or product using NMEA multiplexer so that we import expensive foreign equipment or embody NMEA signal transmission program like software, using multi-port. These have problems since we have to pay lots ci money and build separate processing part for every application programs. Besides, every equipment generating NMEA signal are from different manufactures and have different platform so that it could cause double waste and loss of recourse. For making up for it, I suggest the NMEA multiplexer embodiment, which could independently move by reliable process and high performance single hardware module, improve the memory efficiency of module by designing the optimized Queue, and keep having reliability for realtime communication among the equipment such as main input sensor equipment Gyrocompass, Echo-sound, and GPS.