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EN
In today’s manufacturing systems, especially in Industry 4.0, highly autonomous production cells play an important role. To reach this goal of autonomy, different technologies like industrial robots, machine tools, and automated guided vehicles (AGV) are deployed simultaneously which creates numerous challenges on various automation levels. One of those challenges regards the scheduling of all applied resources and their corresponding tasks. Combining data from a real production environment and Constraint Programming (CP-SAT), we provide a cascaded scheduling approach that plans production orders for machine tools to minimize makespan and tool changeover time while enabling the corresponding robot for robot-collaborated processes. Simultaneously, AGVs provide all production cells with the necessary material and tools. Hereby, magazine capacity for raw material as well as finished parts and tool service life are taken into account.
EN
The paper presents the issue of modeling and simulation of the computer aided programming and simulation of robotic cells using today's CAM (Computer Aided Manufacturing) programmes. The article presents the virtual model and the experimental results of simulation the robotic pretreatment cell. The final part of the paper presents the results and conclusions from conducted tests and analyses.
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