Supplier Selection for the Components of New Product by Case-Based Reasoning and Technique for Order Preference by Similarity to Ideal Solution

• Main Authors: Hui-MeiLin, 林惠美
• Other Authors: Tzu-Tsung Wong
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/95632073689047580154

碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 101 === Supplier selection is one of the most important jobs of supply chain management. Because of the reducing of product life cycle, manufacturers have to utilize the existing supply chain to shorten the time from design to market as well as improve their competition. In fact, buyers will nominate the potential suppliers by their expertise and experience to decide the most appropriate candidates based on the RFQ (request for quotation) and negotiation result. However, different buyers lead to different potential supplier list and supplier evaluation outcomes. Therefore, it becomes an important issue to find the most appropriate supplier regardless of the differences of the expertise and experience of buyers. Similar to the purchasing process, we propose a two-stage method for supplier selection. The first stage employs the case-based reasoning method to find potential suppliers by calculating the cosine similarity of new material description with the old ones stored in a database. Then the technique for order preference by similarity to ideal solution (TOPSIS) is used in the second stage to rank the potential suppliers by their performance that is evaluated by the following factors: quality, delivery, cost, and supply possibility. The weights of the factors are set up in advance by decision makers. For the case analyzed in this study, the most appropriate supplier determined by the TOPSIS method is identical to the one suggested by a senior professional buyer. This demonstrates that the method proposed by this study can be helpful to the buyers for supplier selection.