| dc.description.abstract | Due to energy decreasing and industrialized countries are polluting the global environment causing the climate dramatic changes, the government thus began to develop rail industry and construct the rail transport infrastructure to reduce using in the energy, carbon dioxide emissions, and the impact on the global environment. However, Taiwan began to build rail infrastructure , due to the limitations of past market demand resulting in industrial technology and supply chain unable to support large-scale construction project, only through the assistance of foreign track manufacturers or track consultants to provide technical and equipment to help Taiwan build rail transport system.
After the commencement of operation of the track built up through BOT or by Taiwan local government, the equipment gradually needs to be maintained, and the consumable parts must be replaced. Particularly in the rail project, vehicle parts are in enormous quantities and the procurement cost is hard to be reduced due to the limitation of sole supplier. In order to solve the problem of a deficient supplier source, the railway company to, began to develop alternative products. Nevertheless, due to the selection of suppliers lacks of a thorough consideration, the result of supplier development often fails that leads to a loss.
Therefore, this study will explore the impact factor of supplier selected by the railway transport operations for an alternative product development, and take the example of the pantograph components used in rail vehicles. Invite experts to investigate the factors that influence supplier through Delphi method and then use the right vendor analysis and statistical factors influence weight of AHP, statistical results of the indicators, intended to solve the existing problems faced by the railway company in the selection of suppliers︰
1.To reduce development risk of failure and the results of statistical indicators can facilitate the decision-makers quickly making a decision.
2.This paper discusses the analysis method used in the future to serve Lee issues on the development of other components. | en_US |