Outsourcing Vendor Evaluation Based On Quality And Delivery

• Main Authors: Mei-Yun Hung, 洪美雲
• Other Authors: Chun-Wei Lin
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/08053386750813417805

碩士 === 雲林科技大學 === 全球運籌管理研究所碩士班 === 97 === Many Taiwanese car component manufacturers are mid- to small-cap companies, but they are able to maintain a certain level of competitiveness; this is because of interaction and cooperation among corporations, and the specialization benefits received from focusing on one’s most valuable competitive advantages. However, the resources available to corporations are not abundant. In addition, to deal with variable production capacities, the selection of outsourced suppliers becomes an important issue. Past studies showed that when a corporation works with suppliers with better performance, when the corporation is rated by clients’ supplier ratings, it would also receive better scores. Conversely, working with suppliers with worse performance tends to not result in good ratings. The purpose of this study is to explore how to select outsourced suppliers. Individual case studies of company interviews and data organization, as well as the supplier evaluation audit chart and the case company’s Key Performance Indicator (KPI) were used as the evaluation basis. At the same time, artificial neural network was used to conduct analysis and determinations in order to assist decision-makers to evaluate relative priorities of selecting suppliers, in turn resolving the planning problem of outsourced production capacities, achieving the goal of corporate sustainability. After empirical evaluation, this study finds that the case company’s original outsourced supplier has a commissioning and inventory on-time rate of approximately 96.65%, the cost rate of failed processing is approximately 0.92%. However, the outsourced supplier selected by this study has a commissioning and inventory rate of approximately 100%, and the cost rate of failed processing is approximately 0%. Thus, it can be known that the performance of the outsourced supplier is far better than that of the original outsourced supplier.