A Combination of Analytic Hierarchy Process Method and Machine Learning for Supplier Selection in Supply Chain Management

Selecting the right list of supplier is a critical activity in the supply chain management system. The supplier selection process is one of the important decision-making tasks of managers. The supplier selection process is often integrated in the supply chain information system to help businesses make the final choices for a list of the most suitable suppliers for the business. In this work, a combination between AHP method and machine learning is used via proposal framework. This framework is performed with experimental data to show the support managers’ decision making through the short risky list suppliers. This might help each enterprise in the industry having their own suitable suppliers. This framework also makes a transparency of selecting suppliers in the supply chain system in order to create the competitiveness on product prices for businesses in the market.