At present, automated material processing systems have been adopted by numerous high-tech enterprises, which mainly include Rail Guided Vehicles (RGVs) and CNC Machines. However, in the actual operation process, RGVs are generally scheduled according to the preset procedures of the system, and the lack of intelligent models considering the advanced movement does not elevate the operation efficiency of the system. In this paper, we propose an intelligent scheduling model for RGVs with advanced movement, considering all the work of the RGVs and its matching CNCs in the system within the cycle time, and verify the accuracy and superiority of the model by taking an automated material processing system of a factory as an example.
Full Text Finder