• Journal of Korean Port Research
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• v.13 no.1
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• pp.1-10
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• 1999

Port competition is generally classified into two type of inter-domestic ports and intermational ports and the latter is measured how to secure the function of intermediacy for foreign cargoes among competing parts. In the Northeast Asia top 20 world container ports such as Pusan, Kobe, Yokohama and Kaohsiung are struggling to induce transshipment containers generated in the North China region. This paper aims to analyze and evaluate the competitive factors of the said ports such as port site facilities expenses service level and flexibility of management and operations and suggest the feasible strategies that the Pusan Port to be viable transshipment center in the region. The evaluation is attempted twice. First attempt is evaluated by present conditions of each port and second attempt by upgraded conditions of evaluation value such as port service level and flexibility of port management and operations resulted from the implementation of the ON-DOCK service system. The results of evaluation are as follows; (1) Port competitiveness of first evaluation is ranked in Kobe=Kaohsiung >Pusan>Yokohama. (2) Second evaluation is resulted in Kobe> Pusan= Kaohsiung>Yokohama. According to this results the competitiveness edge of the Pusan Port is able to strengthen by implementation of the ON-DOCk system.

• IE interfaces
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• v.13 no.3
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• pp.471-478
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• 2000

One of the most important problems encountered by parcel transportation firms or LTL (Less-than-truckload) firms is the planning of daily linehaul operations. The transportation firm's goal is to determine the most efficient way to move all freight from its originating terminal to its destination terminal after each shipment is picked up from the shipping dock. The purpose of this study is to design a transportation system and develop an efficient scheduling algorithm for linehaul operations carrying small amount of shipment. This paper presents three approaches for efficient linehaul operations. The first approach examines drivers using the roundtrips which start from a terminal, visit several terminals, and return to the starting terminal. The second approach uses a freight assembly center where drivers take freight for a number of destination terminals which they then swap for freight for their starting terminal. The third approach is similar to the second approach in that it uses a transshipment point like a freight assembly terminal for shipment, but it has several transshipment points since each shipment may have a different transshipment point. In this study, we developed a mathematical formulation and algorithm for each approach. The experimental results using data of a LTL firm show that the third approach is more efficient than the other two. Mileage and overnight stays of the third approach are reduced by 10% and 30%, respectively.

• IE interfaces
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• v.21 no.4
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• pp.354-364
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• 2008

This paper deals with a design problem of simulation for MIME (multi indenture and multi echelon) with lateral transshipment. Especially, we consider lateral transshipments in case that (S-1, S) ordering policy is used in multi echelon repair system. Some rules for ordering spare parts in lateral transshipments between the lowest-level units are studied and are implemented by an activity diagram in object-oriented method. By numerical examples, we compare regular (S-1, S) ordering policy and (S-1, S) policy with lateral transshipment.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.389-396
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• 2010

After analyzing network of the region of western sea, which is the center of Circle Yellow-Sea economic region, and Circle Bo-Hai and the delta of a long river economic region, which are belong to three major economic region of China, as an efficient strategy, rail & sea multi-transport system of Korea-China joint SOC strategy is suggested. Rail & Sea multi-transport system, which is the links of railroads and shipping transport, can be subdivided into train-ferry, which is the transport of loaded trains into a vessel, and transshipment, which is transshipment of containers from railroads to vessels. And, the way of railroads transport through a tunnel under the sea is also suggested.

• Journal of the Korea Safety Management & Science
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• v.4 no.1
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• pp.105-114
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• 2002

Nowadays, most companies seek after the greatest profit by means of offering the goods which consumers want timely and efficiently and minimizing the cost of inventory and distribution channel which amounts to the great portion of total cost. And according as EC(Electronic Commerce) market has increased rapidly, SCM(Supply Chain Management) for EC become one of the most important facts for companies, therefore this paper suggest SCM scheme which EC, especially B to C, is added to the existing commerce system. This paper uses internet for information integration of distribution channel which is away from one another and applies TOC(Theory of Constraint)'s DBR(Drum-Buffer-Rope) Scheduling for synchronization through the whole supply chain. It is possible to synchronize the whole supply chain by means of making the speed of manufacturing and distribution to be controlled by consumer's order which is received in distribution center, and inventory and loss of sales opportunities are minimized by constant. Buffer Management. If inventories in distribution center is short, then it needs to search CCR(Capacity Constraint Resource) in supply chain and to control the speed of manufacturing and distribution according to the ability of CCR. This paper applies PT(Partial Transshipment) strategy for Delivery from distribution center to store or cyber consumer. the strategy this paper suggests chooses neighbour area from area which each distribution center takes charge, and then makes product ordered by cyber consumer which lives in the chosen area to be delivered according to inventory of distribution center.

• IE interfaces
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• v.20 no.4
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• pp.469-478
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• 2007

Rail transportation terminals play an important role in inland transportation systems, because the operation productivity in the terminals significantly influences the efficiency of the whole transportation systems. This paper addresses a design method of a real rail terminal that satisfies a pre-specified throughput capacity. In order to construct high performance rail terminal, it is shown how design parameters can be estimated systematically. Examples of the design parameters are the number of transshipment tracks, the number of rail cranes, and the number of internal trucks. These design parameters are estimated by using simple equations and the validity of the values of these parameters are tested by using simulation. Furthermore, some iterative correction procedure, which uses the simulation technique and the equations alternately, are proposed.

• Journal of the Korean Society for Railway
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• v.15 no.4
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• pp.334-342
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• 2012

It is connected with various gauges existing in Euro-Asian continents. Such differences impedes the operation seriously as on the contact of railway tracks of different gauge the cargo must be either transshipped or the running assemblies of rail vehicles must be exchanged. Those operations are costly, time-consuming and require extended infrastructure together with very expensive storage and transshipment facilities at border-crossing point. Moreover, those operations extend transportation time considerably. Therefore, effectiveness of railway transportation systems significantly depends on track gauge change 1435/1520mm, which connects with complicated handling-shifting operations. The paper concerns assessment of effectiveness in strategical rail systems with gauge changing. The paper presents short description of transport system with gauge changing and initial assessment of shifting technologies. Method of system assessment comparison based on Life Cycle Cost model is described here as well.

• Journal of Korea Port Economic Association
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• v.20 no.2
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• pp.131-149
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• 2004

With trend of container ships becoming larger and faster, the environment surrounding ports in North-East Asia is rapidly changing. Korea's largest port of Busan processed more than 10 million 20- feet equivalent containers in 2003, surpassing the 10-million TEU mark for the first time in its three decades of operation. However, the Port of Busan , the world's third-largest port in 2002, was eclipsed by Shanghai since July in 2003. The first massive strike of truckers crippled the Korea's logistics system in May and in September, the Port of Busan suffered from the second strike of truckers and damage by a powerful typhoon. By contrast, the port of Shenzhen in China increased its container-processing volume by 39.9 percent to 10.65 million TEU in 2003, and Shanghai, which passed Busan in terms of container volume in the middle of last year, further consolidated its position as the world's No. 3 port with an annual volume of 11.28 million TEU. After all, Busan recorded an annual container volume of 10.40 million TEU, slipping to fifth in rankings in 2003 and Busan's bid to become a Northeast Asian hub has suffered a further setback as these chinese ports overtook the port of Busan. But the port of Busan is located in the main trunk liking North America, Europe and South-East Asia. Once the project of Busan Newport is accomplished and the railway between South and North Korea is connected to TCR and TSR, the Port of Busan will have the most potential to become the international logistics center as the starting point of the land and sea routes encompassing all over the world.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.421-430
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• 2016

In this study, a gate simulation model was developed to reduce the truck waiting time for trucking companies servicing container terminals. To verify the developed model, 4 weeks of truck gate-in/gate-out data was collected in December 2014 at the Port of Busan New Port. Also, the existing gate system was compared to the proposed gate system using the developed simulation model. The result showed that based on East gate-in, a maximum number of 50 waiting trucks with a maximum waiting time of 120 minutes. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-in, the maximum number of waiting trucks was 17 and the maximum waiting time was 34 minutes in the existing gate system. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-out, the maximum number of waiting trucks was 11 with a maximum waiting time of 5.5 minutes. With the proposed system the maximum number of waiting trucks was 9 with a maximum waiting time of 4.4 minutes. This developed model shows how many waiting trucks there are, depending on the gate-in/gate-out time of each truck. This system can be used to find optimal gate system operating standards by assuming and adjusting the gate-in/gate-out time of each truck in different situations.