The thesis presents the optimization of CNC machining of an aluminum part through the implementation of automated loading and unloading of raw materials and finished products using a robotic arm. The aim of the work was to reduce the machining time per part, increase the daily production capacity, and lower manufacturing costs. The first part describes the existing production process, followed by the optimization of individual operations by modifying cutting parameters, adjusting tool paths, and/or replacing specific tools. Additionally, a second machining phase on a separate CNC machine was introduced, running in parallel with the first phase. The most significant improvement results from the implementation of robotic material handling, which enables operation beyond regular working hours. Finally, an economic analysis compares production costs before and after optimization. The optimization resulted in a total time savings of 6.88 minutes per part, a 26% reduction in unit production cost, and an increase in daily output from 17 to 40 units.
|
