• Proceedings of the KSR Conference
• /
• 2011.05a
• /
• pp.263-268
• /
• 2011

There are many exclusive freight cars in railway freight transportation system. Gondola is one kind of freight cars. Gondolas have a role to carry bulk-type cargo such as coals and ores. A few problems are occurring due to exclusive freight cars. Operation company has redundant freight cars because exclusive freight cars can carry limited items. And purchasing cost of freight cars is higher and higher because of irregular bid. Operation efficiency of gondola is very low because return time of gondola is much longer than that of container car. In this study, we analysed the introduction effect of hopper-type container for through transit. First, we identified the characteristics of spatial distribution on freight stations. And we provided the effect of hopper-type container in terms of operation efficiency, cost reduction, new demand excavation and image enhancement of eco-friendly railroad.

• Korea Trade Review
• /
• v.43 no.5
• /
• pp.159-177
• /
• 2018

The container shipping sector is an important international logistics operation that connects open economies. Freight rates rapidly change as the market fluctuates, and staff related to the shipping market are interested in factors that determine freight rates in the container market. This study uses the Vector Error Correction Model(VECM) to estimate the impact of factors affecting container freight rates. This study uses data published by Clarksons. The analysis results show a 4.2% increase in freight rates when world container traffic increases at 1.0%, a 4.0% decrease in freight rates when volume of container carriers increases by 1.0%, a 0.07% increase in freight rates when bunker price increases by 1.0%, and a 0.04% increase in freight rates accompanying 1.0% increase in libor interests rates. In addition, if the current freight rate is 1.0% higher than the long-term equilibrium rate, the freight rate will be reduced by 3.2% in the subsequent term. In addition, if the current freight rate is 1.0% lower than the long-term equilibrium rate, the freight rate will decrease by 0.12% in the following term. However, the adjusting power in a period of recession is not statistically significant which means that the pressure of freight rate increase in this case is neglectable. This research is expected to contribute to the utilization of scientific methods in forecasting container freight rates.

• Proceedings of the KSR Conference
• /
• 2010.06a
• /
• pp.1533-1541
• /
• 2010

Multi-purpose freight car is applicable for both bulk freight and containerized freight to cope with the unbalance between demand and supply due to the demand variation by seasons or directions. In this paper, we suggested the advantages of introducing attachable container to railway freight transportation and possible freight items to use multi-purpose freight car. This results can be used to analyse the amount of attachable container and the feasibility of introducing multi-purpose freight car to railway.

• Proceedings of the KSR Conference
• /
• 2010.06a
• /
• pp.1549-1557
• /
• 2010

Multi-purpose freight car is very useful to overcome the unbalance between freight demand and freight car supply. it means removable container is the auxiliary device to make flat car and container and it will be able to transport the container and flat freight. The study is analyzed the freight car operation frequency and freight volume and researched the efficient operation plan. The multi-purpose freight car will contribute in improved the seasonal and the item demand fluctuation and solved the problem of decrease utilization of the open freight car.

• Journal of Korean Institute of Industrial Engineers
• /
• v.24 no.1
• /
• pp.157-165
• /
• 1998

This paper considers the single-product production and transportation problem with discrete time, dynamic demand and finite time horizon, an extension of classical dynamic lot-sizing model. In the model, multiple freight container types are allowed as the transportation mode and each order (product) placed in a period is shipped immediately by containers in the period. Moreover, each container has type-dependent carrying capacity restriction and at most one container type is allowed in each shipping period. The unit freight cost for each container type depends on the size of its carrying capacity. The total freight cost is proportional to the number of each container type employed. Such a freight cost is considered as another set-up cost. Also, it is assumed in the model that production and inventory cost functions are dynamically concave and backlogging is not allowed. The objective of this study is to determine the optimal production policy and the optimal transportation policy simultaneously that minimizes the total system cost (including production cost, inventory holding cost, and freight cost) to satisfy dynamic demands over a finite time horizon. In the analysis, the optimal solution properties are characterized, based on which a dynamic programming algorithm is derived. The solution algorithm is then illustrated with a numerical example.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.12
• /
• pp.2853-2858
• /
• 2013

This paper proposes the ITMS(Intelligent Transport Monitoring System) which manages the route and state of freight by using the Meteorological Office, the Transportation Management Center, GPS and Sensors, etc. The ITMS consists of the CIMS(Container Inner Monitoring System) transmitting the inner temperature and humidity of a container, the TMM(Transport Management Module) computing an estimated time of arrival with Freight Vehicle location information and transmits the result to the CIMS, the FMM(Freight Management Module) checking and managing the freight freshness by using the temperature and humidity of the collected containers, and the SMM(Stevedoring Management Module) selecting the container loading and unloading places with the information transmitted from the CIMS, the TMM, and the FMM and attaching the freight formation to containers using an RFID label. The ITMS not only checks the freight condition at intervals but also acquires and manages the freight information with RFID labels rapidly and accurately.

• Proceedings of the KSR Conference
• /
• 2001.05a
• /
• pp.212-216
• /
• 2001

Recently, it has been trending toward speed-up not only in the passenger car but in the freight cu. In this study, we thus performed stress analysis for the carbody for high speed container freight car in use and field test of the freight car in Gyungbu-line so that we may utilize the results as a design guide for speed-up hereafter- Five vertical loading conditions due to dynamic effect and the weight of the carbody and the container applied to locking devices of the carbody and its results are compared with that of a test, As a result, we found that there is need to complement the strength of the carbody in some measure when speed up the present freight car.

• Proceedings of the KSR Conference
• /
• 2010.06a
• /
• pp.1166-1170
• /
• 2010

In the case of railway freight, there's a lot of process at railway freight terminal. In these days, for operation efficiency improvement, Load/Unload planning is being carried out research. Load/unload problem can be classified as track assignment, container assignment, yard truck route problem, unload equipment scheduling, container yard plan. In this paper, we focus on track assignment and container assignment among the load/unload problem. we analysis information architecture to solve this problem. And we compares two precesses for existing method and optimization method of track/container assignment processes. An contents different analysis of two methods can shows reformation of an information architecture for load/unload process in the railway freight terminal.

• IE interfaces
• /
• v.20 no.2
• /
• pp.204-215
• /
• 2007

This paper addresses vehicle routing planning in freight container transportation systems where a number of loaded containers are to be delivered to their destination places. The system under consideration is static in that all transportation requirements are predetermined at the beginning of a planning horizon. A two-phased procedure is presented for freight container transportation. In the first phase, the optimal model is presented to determine optimal total time to perform given transportation requirements and the minimum of number of vehicles required. Based on the results from the optimal model, in the second phase, ASA(Accelerated Simulated Annealing) algorithm is presented to perform all transportation requirements with the least number of vehicles by improving initial vehicle routing planning constructed by greedy method. It is found that ASA algorithm has an excellent global searching ability through various experiments in comparison with existing methods.

• Journal of Navigation and Port Research
• /
• v.28 no.6
• /
• pp.531-539
• /
• 2004

In this paper, we propose a new heuristic solution for 3D container packing problem for the variable sizes and types of freight. Frist of all, we consider the total cost of container charge i.e., handling, loading and transportation, where each freight will be specifically identified The types of containers and its number to be loaded am be selected automatically by minimizing the total cost of container charge. Maximization of loading space am be achieved efficiently by operating the palletizing and/or depalletizing of freight. By considering these factors we can determine the position of freight in the container and the loading sequence to be packing into the container. In container packing simulation, we can verify that the proposed heuristic algorithm indicates more efficiency space utilization and shows the possibility of using on commercial business.