A Decision Model for Supplier Recommendation in a Supply Chain Management System

This paper proposed a decision model for supplier recommendation in a supply chain management system. The proposed model exploited the use of suppliers’ information and past purchasing history to create a list of potential suppliers of a raw material. The Satake Corporation (Thailand) was selected to be a case study of this research project. To evaluate the proposed model, all purchasing information has been gathered from the corporation’s database. The dataset consisted of 12,340 different items and more than 2,500 different suppliers. A procurement staff with more than ten years of experience was invited as an expert for supplier selection. The procurement staff was given a task to evaluate and select suppliers for each item based on suppliers’ information and the past experience with the suppliers. A staff’s judgment for each item is considered perfect. The top two results were compared with the staff’s judgment. The result showed an accuracy of 93.33%.