Abstract
Abstract
The intelligent machining system scheduling arrangement is through the RGV that can receive intelligent control of the system, so as to install raw materials and unload clinker for each CNC and coordinate the production of CNC in the whole system. This paper analyzes the order in which work orders are issued to RGV, comprehensively uses C++ and Matlab software to explore the scheduling scheme of intelligent machining system, combines time series and genetic algorithm to research and optimize the scheme, and continuously improves after mutation, and finally gives the optimal RGV scheduling strategy.