Simulation analysis of production scheduling algorithm for intelligent manufacturing cell based on artificial intelligence technology

Abstract

Abstract In response to the policy development, the manufacturing industry is undergoing intelligent technology transformation. Online orders are characterized by multiple varieties and small batches. Therefore, in order to meet the personalized needs of more customers, it is necessary to transform the traditional production mode into the intelligent factory mode. Intelligent factories can realize green and sustainable development. Using intelligent robot technology to complete programming to design and process is an important research direction in related fields. In this context, this study strives to design a unitary production scheduling algorithm, which is implemented based on artificial intelligence technology. After testing, this algorithm has the best performance, the shortest running time, relatively low power consumption and short product processing cycle. The system design framework includes three parts: the communication design between physical control equipment and PC, the interactive control software design of PC, and the virtual controlled object model design. From the research results, it can be concluded that the realization of production scheduling algorithm design for intelligent manufacturing cells can help enterprises to make rational allocation of order size and resources, so as to improve production efficiency while taking into account the low-carbon production concept widely promoted by the international community. In this paper, a kind of effective production scheduling algorithm is studied by introducing AI technology into the field of intelligent manufacturing cell.