• Journal of Korea Society of Industrial Information Systems
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• v.12 no.1
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• pp.19-27
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• 2007

The collection of schedule information for intermodal transportation and the establishment of the system to generate available transportation routes have become the basic and necessary factors for the logistics business. However, at present, due to the lack of an effective system, most logistics companies are not providing a sufficient and objective information service to their customers. In an effort to solve this problem, this study tried to develop an intelligent route planning system for intermodal transport, which can generate and select a route suitable to the demands of the user and based on all the collected schedule information of transportation mode.

• Information Systems Review
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• v.10 no.1
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• pp.115-133
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• 2008

The third-party logistics industry mainly delivers goods from a place to an arrival place on behalf of the freight owner. To handle the work, they need a transportation route including transportation equipment between the starting place and the arrival place, schedule information for departure/arrival and transportation cost. Actually, automatic searching for an optimal transportation route, which considers arrival and departure points for intermodal transportation, is not a simple problem. To search efficiently transportation route, the collection of schedule information for intermodal transportation and transportation route generation have become critical and vital issues for logistics companies. Usually, they manually make a plan for a transportation route by their experience. Because of this, they are limited in their ability if there is too much cargo volume and a great many transactions. Furthermore, their dependence on the conventional way in doing business causes an inefficient selection of transporters or transportation routes. Also, it fails to provide diverse alternatives for transportation routes to the customers, and as a result, increases logistics costs. In an effort to solve these problems, this study aims to develop a route planning system based on agent, which can collect scattered schedule information on the Web. The route planning system also has an algorithm for transportation route generation in intermodal transportation.