DEVELOPMENT AND IMPLEMENTATION OF A FRAME-BASED EXPERT SYSTEM FOR ADVANCED ANALYSIS OF RESOURCE CONVERSION PROCESSES Eda Tabaku University “Aleksandër Moisiu” Durrës, Faculty of Information Technology, Department of Computer Science, Durrës, Albania ORCID ID: https://orcid.org/0009-0000-4876-6927 Ejona Duçi University “Aleksandër Moisiu” Durrës, Faculty of Bussines, Department of Finance and Accounting, Durrës, Albania ORCID ID: https://orcid.org/0000-0001-6020-744X Rinela Kapçiu University “Aleksandër Moisiu” Durrës, Faculty of Information Technology, Department of Computer Science, Durrës, Albania ORCID ID: https://orcid.org/0000-0001-6020-744X Robert Kosova University “Aleksandër Moisiu” Durrës, Faculty of Information Technology, Department of Mathematics, Durrës, Albania ORCID ID: https://orcid.org/0000-0001-7407-5441 ABSTRACT This paper explores resource conversion processes, including production, logistics, and business- related activities, with the primary goal of developing an expert system for enhanced decision- making. The proposed system utilizes frames and a production model for effective knowledge representation, facilitating structured decision support. Developed within the Bpsim.MSN platform, the expert system employs a frame-based approach and an object-oriented inference mechanism, incorporating advanced UML sequence diagrams to structure system logic and behavior. The system was successfully applied to the problem of network communication equipment replacement, where it generated and evaluated alternative solutions. The results demonstrated that the system efficiently supported decision-making by providing optimized alternatives and streamlining the resource conversion process. By leveraging a frame-based structure, the expert system enhances decision-making in complex processes, offering a scalable and adaptable solution. Future work may focus on refining system capabilities and extending its application to diverse industry sectors. Keywords: Expert System, Frame-based Approach, Resource Conversion, Decision Support, Network Communication Equipment 4. INTERNATIONAL PARIS CONGRESS ON APPLIED SCIENCES February 5-9, 2024 - Paris, France 235