Opportunities of Generative AI Applications and Tools in Code Generation for Automation Devices

Stevan STANKOVSKI, Gordana OSTOJIĆ

Generative AI applications and tools can provide useful solutions for code generation for automation devices. These applications and tools are based on training from massive AI models and transforming  IT with automated code generation. Generative AI generates code based on input parameters, and there are major concerns about the quality and security of the code it generates, primarily because of the quality of the input parameters. This paper analyses the development of PLC programming code for some of the typical tasks used to train users to work with automation devices.

Optimization of Wood Processing Setup Using the SMED Method

Jovana PERIĆ, Milovan LAZAREVIĆ, Dragić TOMIĆ, Branko RADIČEVIĆ, Vladan GRKOVIĆ

In a world of continuous market development and increasingly demanding customer needs, aligning production processes is crucial. Applying the SMED (Single Minute Exchange of Die) method is essential as a fundamental tool within the Toyota Production System philosophy to directly address demands for reducing production time. The SMED method enables tool changeovers within short time frames, minimizing downtime and facilitating the production of various items. Thus, this method further enhances a company’s flexibility and productivity. This research aims to reduce tool changeover time in the door frame processing process, which involves five technological operations requiring three tool changes.

Basics of Development of an Expert System Model for the Selection of Grinding

Vladimir TODIĆ, Milan DELIĆ

Digitization of the preparation of production, in the part related to programming the grinding processing on CNC grinders, multifunctional machining systems for scraping and grinding, and machining centers for grinding or grinding modules within flexible technological systems, is most often based on the application of modern CAD/CAM systems and specific artificial intelligence tools. Within the programming of the process on the above processing and technological systems for grinding, the automated selection of tools and processing modes for grinding can be carried out by applying an appropriate expert system as one of the tools of artificial intelligence. The paper presents an expert system model for the automated selection of grinding tools as well as the basics of its development.