| Summary: | 碩士 === 元智大學 === 工業工程與管理學系 === 100 === The assessment of suppliers belongs to the multi criteria decision making issue. Selecting the appropriate upstream suppliers is the key success factors for all enterprises. It can effectively reduce the procurement costs, increase downstream customer’s satisfaction, and improve the competitiveness of enterprises. Reviewed relevant research literature, most of them focused on the method of supplier’s selection. It is worth to study that the weights of critical selecting criteria are diluted by the numerous criteria emerged due to environmental changes.
This research distinguishes the selecting criteria of suppliers for two classes, major and minor, according to their importance. The two classes of criteria evaluated separately to avoid doubts in the critical weights diluted. And the corrected Taguchi loss function and the analytical network process method be used to evaluated the candidate supplier’s performances and weights, and finally the supplier map and the artificial neural network integrate the major and minor criteria evaluation results to select a suitable supplier. By this way to establish the model of supplier’s selection, the decision makers could choose the right partners according to their needs, to enhance the competitiveness of enterprises. The proposed approach was demonstrated and validated with the fabless driver IC supplier. Suppliers can be effectively selected to enhance the competitiveness of enterprises.
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