• IE interfaces
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• v.23 no.2
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• pp.164-175
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• 2010

In logistics e-marketplaces, brokerage agents intermediate empty vehicles and freights registered by car owners and shippers. In the previous research, we proposed constant periodic/fixed matching algorithms for the logistics brokerage agents with the objective of minimizing the total transportation lead time and the transportation due date tardiness of freights(Jeong, 2004; Jeong, 2007). However, the constant type algorithms cannot consider changes in the balance status of an e-marketplace, i.e. the difference between the numbers of freights and vehicles to wait for matching, because they use non-changing matching periods and amounts. In this paper, we propose variable type algorithms for the logistics brokerage agent, in which the matching periods and amounts are changed continuously by considering the balance status between the freights and vehicles. In order to compare performance of the variable type algorithms to the previous constant type algorithms, we carried out computational experiments on various problem instances. The results show that the variable type algorithms give better performance than the constant type algorithms. We can expect that the logistics brokerage agents can improve their performance by using the proposed variable periodic/fixed matching algorithms.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.139-142
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• 2004

In this paper, we present a dynamic matching methodology for the logistics brokerage agent that intermediates empty vehicles and freights registered to the logistics e-marketplace by car owners and shippers. In this matching methodology, two types of decisions should be made: one is when to match freights and vehicles and the other is how to match freights and vehicles at that time. We propose three strategies for deciding when to match, i.e. real time matching (RTM), periodic matching (PM), and fixed matching (FM) and use Hungarian method for solving tho how-to-match problem. In order to compare the performance of the when-to-match strategies, computational experiments are done and the results show that the waiting-and matching strategies, PM and FM, give better performance than real time matching strategy, RTM. We can expect that the suggested matching methodology may be used as an efficient and affective tool for the brokerage agent in the logistics e-marketplaces

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.77-96
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• 2004

In this paper, we present a dynamic matching methodology for the logistics brokerage agent that intermediates empty vehicles and freights registered to the logistics e-marketplace by car owners and shippers. In this matching methodology, two types of decisions should be made： one is when to match freights and vehicles and the other is how to match freights and vehicles at that time. We propose three strategies for deciding when to match, ie. real time matching (RTM) , periodic matching (PM), and fixed matching (FM) and use Hungarian method for solving the how-to-match problem. In order to compare the performance of the when-to-match strategies, computational experiments are done and the results show that the waiting-and-matching strategies, PM and FM, give better performance than real time matching strategy, RTM. We can expect that the suggested matching methodology may be used as an efficient and effective tool for the brokerage agent in the logistics e-marketplaces.

• Management Science and Financial Engineering
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• v.13 no.1
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• pp.93-113
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• 2007

In the previous research, we considered a logistics brokerage problem with the objective of minimizing total transportation lead time of freights in a logistics e-marketplace, in which a logistics brokerage agent intermediates empty vehicles and freights registered by car owners and shippers [7]. However, in the logistics e-marketplace, transportation due date tardiness is more important than the transportation lead time, since transportation service level is critically determined by whether the due date is met or not. Therefore, in this paper, we deal with the logistics brokerage problem with the objective of minimizing total tardiness of freights. Hungarian method based matching algorithms, real time matching(RTM), periodic matching(PM), and fixed matching(FM), are used for solving the problem considered in this paper. In order to test performance of the proposed algorithms, we perform computational experiments on a various problem instances. The results show that the waiting-and-matching algorithms, PM and FM, also give better performance than real time matching strategy, RTM, for the total tardiness minimization problem as the algorithms did for the total lead time minimization problem.

• Corrugated packaging logistics
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• no.49 s.10
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• pp.42-45
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• 2003

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.1-31
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• 2005

Major companies in USA, Europe and Japan as well as even China and Russia put more overseas investment in Asian regions than before, while northeast Asian regional trade gets more attractive and important under the influence of China's super-speed economic growth. Possibly, it is expected that such ever-increasing gravity of regional trade will help spotlight the importance of local trade route considerably. In particular, northeast Asian region's economic briskness and step-up in international economic partnerships will expectedly contribute to much boosting up the quantity of goods transported via local coasting route. Thus, it is advisable that both Busan New port specialize in dealing with freights via East Sea rim, while Gwangyang port specialize in dealing with freights via Yellow Sea rim. Furthermore, it is required that both ports share some of their own roles as hub port and hub & spoke port respectively, so that both of them can be devoted to stepping up into northeast Asian hub ports.

• Journal of the Korean association of regional geographers
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• v.18 no.1
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• pp.55-70
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• 2012

Busan port has played a part as the main trade gateway in Korea for several decades. However, due to the rapid integration of China into the global economy and the grand changes in global trade structures, the trade gateway system in Korea and the status of Busan port have been transformed. Busan port's role as a trade gateway toward Japan and U.S. has increased during last two decades but, in cases of China, its importance has relatively decreased. Moreover, Busan port's competitiveness has been undermined in the most part of commodity trade. These phenomena reflect the high competition among trade ports which tend to increase the effectiveness of supply chains. Based on the geographical research tradition which has understood a port as a nexus between hinterland and foreland, this study focuses the changes in characteristics of trade freights and the status as a gateway of Busan port. This approach will contribute to the understandings of dynamics in the comtemporary international logistics.

• Journal of Navigation and Port Research
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• v.31 no.8
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• pp.711-716
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• 2007

When the freight is loaded into a container loading rate must be considered. There are many studies on loading more freights into limited space. But the problem, which is needed to consider the routing sequence is different. A large size of freights, such as shipbuilding materials, am be rehandled or cannot be possible to unload. In this paper I tried to find the solution for the problem consider routing sequence, whereupon I present the container loading model which consider the routing sequence and loading rate and its solution.

• Journal of Korea Port Economic Association
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• v.23 no.4
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• pp.216-227
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• 2007

The aim of this paper is to find out the nature of causality between the two ocean freights employing the Granger method. That is because the Baltic freights tend to move very closely and seem to be behave like one time series. The Granger causality test, however, is very sensitive to the number of lags used in the analysis. This means that one has to be very careful in implementing the Granger causality test. This paper, hence, uses more rather than the lags which the Akaike Information Criterion and the Schwarz Information Criterion suggest. This study shows that BPI does not "Granger-cause" BCI and BSI, but BCI and BSI Granger-cause BPI. I also discover that BHSI does not "Granger-cause" BPI and BSI, but BPI and BSI Granger-cause BHSI. I, hence, model and estimate the ocean freight function and show that the Baltic ocean freight market is inefficient and the biased estimator of the other freight.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.9
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• pp.739-744
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• 2016

The truck that is used as running equipment for tank freight car support is a core structural part that supports the load of the car body and significantly influences the safety of freights and vehicles, as well as their running performance. Running equipment is composed of truck frames, wheels and wheel axles, independent suspensions, and brakes. Among these components, the truck frame supporting the load of the vehicles and freights may be the most important component. This study was carried out to analyze the structure of truck frames and to determine whether they are safe when the maximum vertical load, braking part load, and the front and rear load are applied to truck frames. This was achieved by subjecting the truck frames to stress tests and then measuring the stress on each part. The results of the stress tests showed that truck frames have a safe vehicle load design.