APPLICATION OF AGENTS IN FMS: AN EDUCATIONAL APPROACH

Abstract

This paper explores the application of multi-agent systems (MAS) in an educational environment through the modeling and simulation of a flexible manufacturing system (FMS). The focus is on developing models and programming agents for managing CNC machines, a robot with a peripheral axis, and part manipulation. Students are guided through recommended exercises aimed at optimizing operations and handling parts. Using the Python programming language, students develop code that enables both simulation and real world application in laboratory conditions. Additionally, through RFID part identification and API communication, the system allows for automation and intelligent control of manufacturing processes. This approach fosters the development of Industry 4.0 concepts in education and enhances students' practical skills in the domain of digital manufacturing.