Four enabling paths of intelligent manufacturing
in recent years, with the rapid development of big data, cloud computing, artificial intelligence, industrial interconnection and other technologies, digital technology has been widely used in all links of the economy, promoting the arrival of the new consumption era. The personalized and customized consumption concept is becoming more and more common, reshaping the relationship between producers and consumers, and also putting forward higher requirements for the production efficiency, product quality and agile response of the supply side. The intelligent upgrading of the manufacturing industry is imminentOn April 17, KPMG China and Alibaba Research Institute jointly released the "from tool revolution to decision-making revolution - the transformation road to intelligent manufacturing" (hereinafter referred to as the "report"). The report takes the big technical system of "data + computing power + algorithm" as the core, and expounds in detail the comprehensive improvement and reconstruction of science and technology on the stable and accurate links of the five major production indicators in the manufacturing industry from the perspective of the industrial chain. On this basis, four enabling paths of intelligent manufacturing are proposed
first of all, data is the foundation of intelligent economy and the core means of production of intelligent manufacturing. Secondly, the rapid development of computing power represented by cloud computing and edge computing provides a strong guarantee for processing massive data. Third, represented by artificial intelligence and mechanism model, it not only launches the algorithm technology of basic research to help intelligent manufacturing find laws and provide intelligent decision support. Finally, the modern communication network represented by 5g and others closely links the three elements to make them work together and play a great value
according to the report, compared with the traditional manufacturing system, the advantages of intelligent manufacturing production system are mainly manifested in: consumer insight from indirect to direct, R & D links from serial to parallel, procurement links to achieve automation, low inventory and socialization, production links to be fully intelligent, and ubiquitous intelligent sales and after-sales service
Tao kuangchun, chairman of KPMG Asia Pacific and China, said: "At present, smart economy has become the focus of attention of all countries. China first put forward the concept of 'smart +' in the 2019 government work report, which is of great significance to promote the integration of advanced manufacturing and modern service industry. Manufacturing industry is one of the important symbols to measure a country's competitiveness because the value of the lower subordination point is relatively stable, and plays a decisive role in the national economy."
through in-depth research, combined with the cases of Amoy factory, Hengyi petrochemical, CITIC cloud and other enterprises, the report summarizes the four enabling paths of intelligent manufacturing and the great value it brings to enterprises: first, large-scale supply to solve customized needs and realize long tail reconstruction; Second, accurately capture user needs, quickly launch new products, and achieve agile response; Third, the industrial brain combines industry insights to reconstruct the human-machine boundary and realize intelligent decision-making; Fourth, industrial interconnection and cloud platform help large groups build a highly collaborative intelligent manufacturing ecosystem
Gao Hongbing, vice president of Alibaba group and President of Alibaba Research Institute, said: "the significance of intelligent manufacturing lies in how to resolve uncertainty with the automatic flow of data: let the right data be automatically transmitted to the right people and machines at the right time and in the right way, so as to realize the optimization of resource allocation efficiency."
according to the report, intelligent manufacturing has overturned the development mode of "traditional tools + empirical decision-making" on which traditional industries have depended for hundreds of years, and set off a deep-seated revolution in the two dimensions of tools and decision-making. The tool revolution has greatly improved production efficiency, while the decision-making revolution optimizes the accuracy, timeliness and scientificity of decision-making through artificial intelligence and other means to achieve true meaning. 1 Intelligent production in the sense of samples
"with the intensification of global competition, the role of innovation has become increasingly prominent. Manufacturing enterprises must step up the implementation of intelligent transformation and develop advanced manufacturing." Kang Yong, chief economist of KPMG China, said, "to this end, enterprises must establish a forward-looking, value oriented, cross departmental intelligent manufacturing development strategy in order to win the first opportunity in the fierce competition."
Copyright © 2011 JIN SHI