Supplier Management Decision Support System Under Data Mining Algorithms

This article proposed a supplier management decision support system based on data mining algorithms, aiming to help enterprises select the best supplier to improve procurement efficiency and reduce procurement costs. The system used data mining algorithms to analyze and mine the historical data of suppliers. It established a supplier evaluation model and combined it with AHP (Analytic Hierarchy Process) to conduct supplier evaluation. At the same time, the system also used fuzzy comprehensive evaluation method and TOPSIS (Technique for Order Preference by Similarity to ideasolution) method to sort and select suppliers. The experimental results indicated that the system could quickly and accurately evaluate suppliers, and improve procurement efficiency and reduce procurement costs, which has practical application value. This article also discussed and prospects the research, and proposed future research directions.