MAKİNE ÖĞRENİMİ REGRESYON İLE GENETİK ALGORİTMA TEMELLİ TEDARİKÇİ SEÇİMİ YAPABİLEN SİSTEM TASARIMI
Project no. 845 · Status: Kapanmış · 2018
Summary
Supplier selection has an important role in supply chain management. Supplier selection decision is a complicated process by the need to consider various criteria in the decision-making process. The results of the supplier selection affect the relationships, profitability, and reputation of the businesses. Choosing the right supplier reduces the cost of procurement and increases the competitiveness of the business, but the choice of the wrong supplier can lead to financing and business problems. This study includes learning to decision maker's decisions about supplier selection using machine learning regression. Developed machine learning system has been implemented by a firm that operates with ceramic tile production in Aegean Region. Supplier selection in this company is carried out by a total of six people who have knowledge of the subject from senior management, purchasing, and production department. In this company's supplier selection process, five main criteria are used: price, quality, delivery, flexibility, and technology. In this study, the genetic algorithm is used to determine the weight of the criteria in the decision-making process. Developed machine learning reveals the structure of the decision mechanism by looking at decisions made by decision makers. The designed system can select supplier selection on its own after learning process.