Detailed analysis of lean manufacturing under intelligent manufacturing

With the rapid development of computer technology today, the rapid development of technologies such as mobile Internet, big data and cloud computing has effectively promoted the combination of the real economy and the virtual world, bringing an endless imagination to industrial intelligence. Looking at the world, many countries have proposed manufacturing national strategies, such as Germany's "Industry 4.0 Plan", the United States' "Advanced Manufacturing National Strategic Plan" and Japan's "Manufacturing White Paper". In the face of the strategic measures of various countries and the major adjustment of the global manufacturing competition pattern, China has also introduced "Made in China 2025", which clearly puts the smart manufacturing as the main direction of the integration of the two.

However, in the implementation of the way to promote intelligent manufacturing, many people represented by Clay Shirky, who is known as the "Greatest Thinker of the Internet Revolution", believe that companies must build a platform for user interaction. Big data analysis is customized on demand, providing users with a personalized experience of the entire process, and lean production methods that only rely on the ground network to perceive user needs can no longer meet the requirements of the times. So is lean production really outdated? This article will answer this question by analyzing the relationship between smart manufacturing and lean production, and point out the specific application of lean manufacturing under intelligent manufacturing.

The basic concepts of lean production and intelligent manufacturing

Lean production originated from Toyota's production methods in Japan. It has been proposed for the first time in nearly 25 years since James P. Womack and Daniel T. Jones of the United States. It is now in the world. The most popular production management and business operation model. The "fine" of lean production has perfect meaning, "beneficial" has more meaning; lean production is a concept (ie lean thinking), a kind of value, or a kind of culture; its essence is to eliminate waste, In order to achieve cost reduction, quality improvement and production efficiency; its performance in production management is a series of tools and methods, such as Kanban pull (KANBAN), value stream analysis (VSM), rapid die change (SMED) , Poka-yoke, Total Quality Management (TQM), etc.

Intelligence in intelligent manufacturing is the sum of knowledge and intelligence. The former is the basis of intelligence, and the latter refers to the ability to acquire and apply knowledge. Intelligent manufacturing includes intelligent manufacturing technology and intelligent manufacturing system. Intelligent manufacturing system not only can continuously enrich the knowledge base in practice, but also has self-learning function, as well as collecting and understanding environmental information and its own information, and analyzing and judging and planning its own behavior. Ability. Intelligent Manufacturing (IM) is a human-machine integrated intelligent system composed of intelligent machines and human experts. It can perform intelligent activities such as analysis, reasoning, judgment, conception and decision making in the manufacturing process. Through the cooperation of humans and intelligent machines, we will expand, extend and partially replace the mental work of human experts in the manufacturing process. It extends the concept of manufacturing automation to be flexible, intelligent and highly integrated.

The relationship between lean production and intelligent manufacturing

First, from the classification, lean production and intelligent manufacturing are two things. Lean production is the production management method, and intelligent manufacturing is the technical method realized by the manufacturing process. Intelligent manufacturing is a comprehensive upgrade manufacturing. Giant system. The former is the management level, the latter is the product realization technology level, such as network, digital, Internet of things, etc. are all technical means of serving lean;

Second, from the relationship between the two, lean production is the basis of intelligent manufacturing. Without lean production, smart manufacturing is difficult to implement or do better, and intelligent manufacturing can make lean production better and more standardized. The two are not two stages of the development of things. Intelligent manufacturing is not a high-level stage of lean production development. To be clearer, with smart manufacturing, lean production will develop better.

Third, there will of course be an inevitable intersection between the two. For example, the application of Manufacturing Execution System (MES) is management and technology, but ultimately it is the application of information technology. The theory and foundation of its management is still lean production.

Intelligent manufacturing is the product of the deep integration of information and communication technology to the manufacturing industry at a certain stage; it is gradually formed by the manufacturing industry based on its internal development logic after a long period of evolution and integration; it is the new direction and new trend of manufacturing transformation and upgrading. ; is the latest form of advanced manufacturing development.

Advanced manufacturing is customer-centric, constantly responding to changes in market demand, integrating technological innovation, organizational innovation and model innovation to achieve high quality, high efficiency, low consumption, clean and flexible production, so as to achieve the desired economic and social benefits. The general term for manufacturing systems. "Intelligent Manufacturing" is the development of advanced manufacturing to the current stage, integrating the next generation of information technology such as the Internet of Things, cloud computing, and big data, from centralized control to decentralized enhanced control, and through the integration of the Internet of Things and the Internet. And three integrations (vertical integration, end-to-end integration, horizontal integration) to achieve the latest form of intelligent, social production.

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