Here is Lean Pipe System Manufacturer talking about Intelligent manufacturing.
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There are many perspectives on the logic of intelligent manufacturing, including intelligent manufacturing and rapid response; intelligent manufacturing and artificial intelligence; intelligence and automation; intelligent and replacement people; intelligent manufacturing and knowledge management; intelligent manufacturing and cloud computing, big data; The necessity of manufacturing, etc. To make the logic of intelligent manufacturing clear, it is necessary to clarify the relationship between these concepts.
1. Intelligent manufacturing and rapid response
If you choose the angles that are most suitable for representing intelligent manufacturing, there are two aspects: one is ICT technology (digital, networked), which is the means; one is a rapid response, which is the goal. When targeting rapid response, ICT technology is only one of the means, but also with software, hardware, organization, and business model. However, ICT technology is also a key and iconic means: it is precisely the advancement of ICT technology that has given rise to the power of intelligent manufacturing - the rapid development of ICT technology has made some of the past ideas and conditions become reality.
2. How does ICT technology promote rapid response? There are several reasons for this:
First: You can use the information to achieve multi-party collaborative work. A new piece of information may involve work in multiple departments (such as changes in product design). If you can share information, you can turn serial work into parallel and reduce errors in the collaboration.
Second: the reuse of knowledge can be achieved. The knowledge discovered by one person (including the design of product parts) can be reused by others and by subsequent successors, saving unnecessary development.
Third: the sharing of material resources (sharing the economy) reduces the time it takes to obtain resources.
Fourth: shortened the decision cycle. By fully integrating the information, the computer can make scientific decisions, rather than people to control or team meeting decisions, greatly reducing the time from information perception to execution. In the industry 4.0 system, shortening the decision-making cycle of production organizations may be one of the keys to success.
Fifth: tools to improve work efficiency. Computer simulation, CAD and other means enable people to experiment in the digital world to improve efficiency.
Smart manufacturing has a subtle relationship with artificial intelligence. We know that artificial intelligence originally had three schools: the computer school, the physiology school, and the cybernetics school. The most closely related to intelligent manufacturing is the cybernetic school. From the moment when cybernetic is produced, attention is paid to information and communication, and the combination of information processing and behavioral activities is emphasized. The integration of perception, decision-making, and execution is regarded as the (smart) life body and (traditional) machine.
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