Today's sharing mainly focuses on the background of intelligent manufacturing as well as a number of practices to make a systematic introduction, but also includes the role of financial leasing in promoting the upgrading of intelligent manufacturing.
Intelligent manufacturing, the earliest Germany put forward Industry 4.0, and then the United States of America's Advanced Manufacturing Partnership Program and Advanced Manufacturing National Strategy. The European Union, the United Kingdom, Japan and South Korea also attach great importance to intelligent manufacturing. China's push "Made in China 2025" can also be seen on the importance of intelligent manufacturing in China.
Intelligent manufacturing is a very important part of Industry 4.0, Industry 4.0 also covers the Internet, Internet + smart manufacturing, consumers. Internet in the world, especially in China, the United States developed very quickly, relatively also has a strong maturity. Industrial Internet and now the popular new retail will slowly form a large Industry 4.0 network, combining consumers and the front-end manufacturing link.
The 2016 Global Manufacturing Competitiveness Index shows that China's manufacturing power is declining, and Trump's proposed return of U.S. manufacturing is a big warning to Chinese manufacturing. The increase in U.S. manufacturing power is due to advanced manufacturing technology, such as smart and connected products and factories, the application of industrial robots, and the problem of high labor costs can be solved.
China is now also facing a serious challenge in the development process, such as population aging, if you still rely on pure labor dividend to obtain the core competitiveness of the manufacturing industry on a sustained basis, in fact, will face great pressure. China must launch a strong layout on smart manufacturing to enhance China's position in the value chain.
Germany is based on Industry 2.0, and transitioned from Industry 3.0 to Industry 4.0 in tandem. 1.0 is mechanization; 2.0 is electrification and automation, forming a combination of machinery and manpower; 3.0 is informatization; and 4.0 is networked, with the emergence of smart factories as well as ****production of big data.
China is still in the stage of remedial industry 2.0, popularization of 3.0, and parallel development to industry 4.0, the development time is expected to be much shorter.
In addition, China's national level has put forward a clear planning indicators on China's smart manufacturing, divided into robotics, the integration of the two, intelligent manufacturing demonstration projects in three dimensions, the specific indicators of the industrial robotics industry, industrial robots, the localization rate of high-end industrial robots, the density of industrial robots, broadband penetration, the product production cycle, and so on until 2020, as well as in 2025 there are specific numerical indicators.
From the overall summary of the connotation of the smart manufacturing can be summarized as a network, two themes, three integration. A network refers to the construction of information physical system network (CPS). The two main themes are "smart factory" and "smart production". The three integrations are horizontal, vertical and end-to-end integration.
So far, China does not have a 100% smart factory, now it can automatically send out the goods, but it can not do automatic production of goods. I personally believe that the future long-term development of smart manufacturing will bring the result of customization, all the needs can be input through the sales terminal, the subsequent factory will automatically produce the customized products you want in accordance with your order.
Intelligent manufacturing system is divided into perception, decision-making, execution layer. The perception layer includes machine vision, photoelectric sensing, smoke sensing and so on. We collect the data we want through sensors, IoT systems, and then make decisions. The original decision-making layer is our brain, and now there are computers, embedded systems, and a variety of software platforms.
In terms of the decision-making layer, there are ios systems for cell phones, and Android systems. Now some companies in the field of industry 4.0 research a system, this system is like a brain, the future perception system can be docked into it.
As for the executive layer, a few typical examples can be introduced. For example, industrial robots can be divided into six-axis articulated robots, parallel robots, cylindrical coordinates robots, right-angle coordinates robots, SCARA. these robots will be selected according to the difficulty of the object to be operated in the factory, and generally a variety of robots together.
In various industries for the use of industrial robots, the automotive industry is the earliest and most widely used, and other electronics industry, metal processing industry, chemical, food, beverage, packaging. Intelligent manufacturing is a trillion-dollar industry market.
Comparing the density of industrial robots in various countries, South Korea has a small population and a relatively developed robotics industry with the highest density. Japan, Germany, the United States, Taiwan, Spain, France, Canada and other countries, on average, there are 58 robots in 10,000 people. China is 10,000 people in 30 robots working for people, with this data rising, contains a very large market space.
Intelligent logistics, intelligent CNC machine tools, 3D printing, intelligent sensory equipment also belongs to the executive layer. Intelligent sensing equipment is the information acquisition layer in the intelligent manufacturing system, now generally use wireless interconnection to connect, the Internet of Things in the field of intelligent manufacturing has played a great role.
The decision-making end here is actually the core of the three major software - ERP, MES, CAD. ERP support is the management of business, responsible for enterprise resource planning, MES system is the manufacturing execution process is a core, which has human-machine interaction, production control, monitoring, and logistics, MES can connect the data to ERP. MES can connect the data to ERP, but the system can not replace each other. CAD is to assist in research and development of product data management, as well as auxiliary design.
The decision-making end of smart manufacturing also involves the reconfiguration of processes and business models. After the entire manufacturing method reconfiguration, the way of cooperation between the enterprise and the enterprise, the way of transaction between the consumer and the enterprise will change. And previously, many manufacturing enterprises were completely independent of each other's processes, and the connectivity between each other was not close enough, with a black box in the middle. Through intelligent manufacturing, information technology and other means, you can redo an effective connection.
I have more experience in the LED and photovoltaic fields, and my company focuses on these two industries. Now the industry's low productivity, high labor costs, product precision and yield to be improved, as well as low investment in research and development. Usually the biggest headache of doing intelligent manufacturing is that the internal control does not understand, very passive. Everyone is saying that intelligent manufacturing is very important, but in fact the awareness of the enterprise and the talent team are very missing.
LED industry is a relatively large industry. I entered the LED industry in 2005, and now the annual growth rate of not less than 30%, now the annual market size of more than 500 billion, recently there are many companies listed.
For intelligent manufacturing, what are the main things we do in this industry?
First of all, in the upstream, we do a little bit of intelligent factory solutions, and Taiwan's Jinyuan photoelectric cooperation. It has to have a very strict system in monitoring your production, but also a set of decision-making level very strict algorithms in the back support, to ensure that the quality is absolutely no problem. Points points factory has a set of MES system and outsourcing manufacturers of MES system is docking, you can directly machine parameter settings, manual only responsible for equipment maintenance and logistics management.
In the midstream, the industry is responsible for doing sub-assembly, the isolated equipment connected together, in fact, it achieves the same goal and the chip, the advantage lies in saving labor, improve the rate of single-machine equipment crop, improve efficiency, save manufacturing costs, customization and flexibility.
Downstream is the fully automated production of night lights and information collection, IKEA as well as Philips light bulbs, basically our production line production. In addition, the factory's PV manufacturing is based on AGV's intelligent logistics system, which is equivalent to realizing the driverless handling process.
Recently, the national financial leasing policy has become more and more active, and now some organizations doing Internet finance and supply chain finance are also docking financial leasing.
In some European countries, because the whole country has a better degree of trust in all aspects, enterprises are doing heavy asset investment, many times with the help of financial leasing, and not really heavy assets. China, on the other hand, need to spend their own money or loans to buy equipment, but the bank and only look at fixed assets, equipment for them is not worth, so the pressure will be more.
Financial leasing refers to the enterprise to buy equipment in installments, the process on the first use of equipment to make money. Chinese companies want to promote smart manufacturing, financial leasing as well as asset investment will play an important role here.
Now the consciousness is becoming more and more open, "eating alone" is certainly not the future, only the enterprises work together to form a very healthy industrial chain, the future competitiveness will be stronger and stronger.
☆2017 China FinTech Conference and China FinTech Leaders Award Ceremony