Intelligent Manufacturing Has Attracted Ma Yun'S "Layman". What Are You Waiting For?
Ma Yun said that intellectualization is an impassable gateway to new manufacturing, and intelligent technology will play an increasingly important role in new manufacturing.
"After new retail, new manufacturing is the key. New manufacturing is the new driving force for economic pformation, and intelligent technology is the key technology that can not be overcome in the new manufacturing industry. The next 90% is
manufacturing industry
Will be on the Internet. "
According to people familiar with the matter, Ali's new manufacturing project has taken the lead in the field of garment processing, which is jointly built by Amoy factory and IoT team.
clothing
Visual identification analysis of the production line, complete the digitization of the production process, and connect with the entire supply chain data online, will be launched on-line in September.
Amoy factory as
Alibaba
The key projects of the upgrading of the energy manufacturing industry have already helped over 3 factories achieve massive mass matching precisely, so that quality factories can get accurate customer resources and reduce the time and waste of resources caused by the mismatch between supply and demand.
With the in-depth exploration of the industry situation, the Amoy factory began to digitize the production terminal based on the data of the original paction end.
The digital pformation of the manufacturing end is more valuable
Compared with large-scale production of relative standard category, clothing
Textile industry
The trend of flexible production is more and more intense.
The gross profit margin of the industrial production end is 15-35%, but the gross profit margin of downstream circulation is only about 15%, while the gross profit margin of the garment and textile production end is about 15%, and the gross profit margin of the brand and seller is much higher than that of the processing manufacturer, which is about 40-50%.
Therefore, the key point of improving the efficiency of the relative standard industry such as industrial products is circulation. It is difficult for large-scale production to increase the efficiency of 20%-30% from the end of production.
however
Garment and textile industry
The overall production efficiency is not high, but with the application of new technologies such as big data, cloud computing and Internet of things in the production end, this efficiency enhancement will directly affect the pformation and upgrading of the manufacturing side.
The utilization ratio of the Chinese textile and garment industry is still relatively primitive, so the digital pformation of the manufacturing end has enormous room for development.
Transparency helps production end to reduce costs and increase efficiency, production and marketing synergy
"How to improve production efficiency? The key word is pparency."
Yuan Wei said that the core of B2B is the paction. The advent of the digital age has broken the rules of the acquaintance business to a certain extent, but there are still trust problems to be solved. The key point to solve this problem is pparency. The B2B platform can do just that.
According to introducing, at present, Amoy factory has three ways to pparence the industrial chain.
First, the pparency of people, that is, the information and demand pparency of buyers and sellers.
Verify the identity of the seller who can touch the platform, and select the buyer through the big data algorithm for the buyers in the Taobao, Tmall and other Ali systems to facilitate efficient pactions and reduce risks.
Second, the contract is pparent, the implementation of contracts, the accuracy rate of delivery and so on, the pparency of contract implementation.
After that, the platform is tagged by the total data, and the seller's card is displayed externally.
In addition, ordering is based on order suitability and performance, business scale and so on.
This sort is not a rough search, but a more personalized sort through big data.
Third, the order process is pparent, and the production process, logistics, delivery and so on are pparent.
Although the C order tracking system is quite mature, the pparency of B order process is still not in place.
The factory owner can not grasp the data and trend of order in time, and these data happen to be needed by the brand.
"In the future, with the improvement of the efficiency of the whole society, pparent granularity is constantly sinking. We must let every workshop worker, every work station, every production line, every day in real time do things that can be completely pparent through new technology."
Yuan Wei said that such pparency will enhance the efficiency of the entire manufacturing end, reduce costs, and truly achieve efficient production and marketing synergy.
The data collection at the ends of the production line is also feasible if combined with the block chain technology. The main problem of the block chain technology is that although the data on the chain can not be tampered with, the authenticity of the source data can not be guaranteed.
If the Internet of things, big data, cloud computing and so on are taken as the technical means to realize the pparency of the industrial chain, less human intervention, and directly extract data from the machine, then the authenticity of the upper chain data also has certain guarantee. Completely pparency will not be a false proposition.
New technology leads new manufacturing, not just big business carnival.
According to Tobey's research report, according to CNNIC's "adoption / planning adoption of new technologies by enterprises" released in 2016, the proportion of adoption / plan adopted by Chinese enterprises to cloud computing, big data and Internet of things technology has increased by nearly 8 percentage points compared with 2015, and the proportion has been around 20% now.
"The new technology dividend brings the pparency of the whole process of industry chain. As the explorer and application of new technology, the B2B platform must create the value of enhancing efficiency in the manufacturing process."
According to Yuan Wei, Amoy factory uses IoT technology to carry out the hardware implementation of the factory, so that the factory's key production data are all online, and directly saves the cost of manual data collection.
At present, Amoy factory uses IoT technology to scan the key links of factory production 130 million times a day, then carries out edge calculation in the local area, uploads the key data to the cloud to carry out the analysis of big data, and then gives feedback to the factory.
In this way, the factory can ensure that the factory can get the most accurate data in the production process, judge its core capability, portray the factory portrait, and achieve efficient matching and production of orders.
The bonus of new technology can not just be a carnival of big brands and large factories. The factory will directly pack hardware, cloud services, big data processing capabilities and so on, covering the cost of technology R & D and training, which can not be undertaken by small and medium-sized factories, helping small and medium-sized brands and factories to upgrade rapidly.
According to the introduction, at present, the Amoy factory has covered more than 30 thousand factories, and these small and medium-sized production and processing enterprises that empower the new technologies in the future will carry out the objective digitalization of their key capabilities on the Internet, and eventually form a more efficient business chain compared with the past.
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