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In the newest technology of Industry 4.0 and more complex products manufactured, as the innovation requires new flexible manufacturing equipment using robots and complex designed workstations, and the robotic testing equipment as well, the engineers are faced with new challenges to the processing of the information, multiple parameters being collected. The paper aim is to present the studies performed on robotic testing equipment from a manufacturing line of an automotive mechatronic device by using the design of experiments to optimize the 3D movements of the arm, the speed and approach procedure of the testing device. The ANOVA will support the analysis of the repeatability of the movements and find the main factors which lead to variation in measurements, therefore could support the root cause analysis of issues occurred.

Studies on robotic testing equipment used in mechatronic devices manufacturing processes to improve the root cause analysis