Supplier Selection with Fuzzy Analytical Hierarchy Process

Today, competition is increasing rapidly due to developments in technology. Firms should follow new methods in the process of the product from the producer to the consumer (Supply Chain) to maintain their place in the competition. For the continuation of a successful Supply Chain, long-term cooperation based on mutual trust and cooperation should be established between the supplier and the customer. Purchasing timely and quality raw materials from suppliers is the first step of this chain. If one of the supplier links is broken, the entire chain will be broken. As a result, business decisions on supplier selection are critical. The difficulty of supplier selection is complicated by several competing considerations. Cost, quality, design capability, manufacturing competence, technical capability, technological capability, performance history, managerial capability, degree of collaboration, financial performance, and closeness are only a few of these considerations. In this instance, multi-purpose decision-making methodologies should be applied rather than traditional supplier selection analyses. One of the Multi-Criteria Decision Making strategies that aid the decision maker is the Fuzzy Analytical Hierarchy Process. This study started by examining the factors affecting supplier selection. The literature review focused on Fuzzy AHP applications. Criteria suitable for the examined company were determined and the process was started by creating matrixes. Finally, the best supplier was determined.