from the conferences organized by TANGER Ltd.
In the area of supply chain management, selecting the right suppliers plays a key role in ensuring the smooth operation of the entire process. Traditional evaluation methods of the suppliers often rely on clear-cut metrics, failing to consider the complexity and uncertainty that often accompany these processes. In contrast, the fuzzy approach allows for the inclusion of a variety of criteria and assessments in the form of linguistic terms, what leads to a more comprehensive evaluation of potential suppliers.The dynamic development of technology in recent years has become an important factor influencing the functioning of modern enterprises. Modern IT tools, artificial intelligence and data analysis enable companies to gain a competitive advantage by rationalizing and optimizing business and decision-making processes. Organizations have the opportunity to improve their activities, increase efficiency, identify new opportunities and respond faster to changing market conditions.The paper introduces a multi-criteria provider evaluation model based on fuzzy logic, which will allow you to take into consideration different expert’s opinions on various criteria, such as product/service quality, costs, on-time delivery, innovation, or communication ability. Presenting approach should help company in adapting to changing market requirements. In addition to the model, an application with an intuitive interface will be presented, which will allow users to conveniently use the tool and make good decisions in the process of selecting the best supplier.The proposed methodology is a valuable resource for organizations, helping them use the potential of modern technologies to improve supply chain management and make strategic business decisions.
Keywords: Supply chain management, multi-criteria supplier selection, fuzzy numbers, fuzzy logic© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.