A Simulation Study of Collaborative Transportation Management

碩士 === 國立高雄第一科技大學 === 運籌管理所 === 98 === The enterprises, in the highly competition global environment, recognize that only to form a partnership by collaborating with suppliers or customers may lead to a long term co-profit. However, any little mistakes can lead to a serious effect since suppliers an...

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Bibliographic Details
Main Authors: Chen-Wei Yang, 楊鎮瑋
Other Authors: Shin-Ming Guo
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/23961764186754010024
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Summary:碩士 === 國立高雄第一科技大學 === 運籌管理所 === 98 === The enterprises, in the highly competition global environment, recognize that only to form a partnership by collaborating with suppliers or customers may lead to a long term co-profit. However, any little mistakes can lead to a serious effect since suppliers and customers spread worldwide and every supply chain process is linked to each other. Recently the minimized inventory is advocated, therefore, transportation planning becomes critical. Once delayed, it is possible for downstream customers run out of stock or have a shutdown. In the past manufacturers and transportation services providers do not frequently work with, and transportation surplus or delivery delays therefore occur. Now, the application of Collaborative Transportation Management (CTM) can solve this problem, but most studies of CTM use qualitative method. Therefore, in our study, we try to obtain a quantitative model to analyze the benefits. The model will integrate mathematic liner programming and system simulation, and the collaborative members may reduce the total costs by adjusting self decision according to others transportation or manufacturing schedules. The study investigates the impacts to CTM under different situations, and the results indicate that the benefits of CTM will be significantly influenced when the experiment factors change. In the transportation and customer experiment factor, transportation rate and transportation capacity will greatly impact the performance of CTM. In the manufacture experiment factor, high manufacture capacity and production uncertainty will also influence CTM. Finally, the benefits of CTM may be improved if supply chain members moderately control or manage the CTM that synchronizes transportation schedule and manufacture schedule.