Driven by a variety of factors, such as capital, the sharing economy continues to expand. The sharing economy is more focused on mass consumption and services, but the biggest bright spot in the future is likely to be in production.
A new type of "production factor sharing model" is emerging. Through the Internet platform, share factory production line idle idle scientific instruments sharing schedule, scientific research institutions, and extends to the scientific research and experimental services, in order to realize the enterprise resources efficient use.
The platform accurately matches the supply and demand.The current domestic part of large and medium-sized cities have B2B, C2B model network sharing platform, through the integration of different enterprises including materials, equipment, personnel, new information infrastructure, the idle production capacity, implement product supply and demand and efficient docking.Production equipment sharing. Alibaba "factory" is a link of taobao sellers and production factory platform, taobao sellers of its operation mode is to find the factory, will be released production requirements such as order number, time limit for a project in "tao factory" network platform, the supplier factories can also have the ability to meet its single type of product, surplus production release in the platform, the supply and demand both sides two-way choice partner.Scientific research personnel, experimental service sharing. In the field of scientific research, the platform for sharing scientific instruments is also on the rise. "Yi science" is a scientific research instrument sharing and experimental trading Internet platform, and the supply and demand of scientific research instruments. In addition to sharing scientific equipment and equipment, "easy science" is also exploring the online trading platform of r&d talents and experimental services.Data sharing. With the use of cloud computing and big data resources to connect with manufacturing plants, the project of allowing small and medium-sized enterprises to enjoy the same innovative resources as large enterprises is also emerging. In 2015, aliyun teamed up with foxconn to create a project called "tao fu come true". According to the introduction, foxconn is pushing nine business units and eight intelligent building platforms, providing the entrepreneurs with full chain services such as intellectual property, industrial design and production and manufacturing.The benefits of factor sharing are becoming more and more obvious.The production capacity sharing in our country is in the embryonic stage of the market, but the economic and social benefits are highlighted. Besides the sharing of production factors such as equipment and personnel, the sharing of new information infrastructure capabilities, such as cloud computing and big data, will also help more smes innovate and start their own businesses.Factory productivity increases. Guangdong is a major province of garment production and export. In January 2015, guangdong had more than 4,000 Amoy factories on alibaba. Some enterprises have more than 70 machines in 2 production lines, relying on traditional customer resources, the utilization rate of the production line is only about 50% to 60%. And the production cycle is not stable, in June, July and August, the clothing industry sales in the low season, the enterprise production line is almost stopped. But now, through the platform of Amoy factory, the idle schedule of the production line is released early on the network platform, and the customer resources are spread all over the world, so that the production can be produced "in the off-season".
Second, to connect the "cloud computing + manufacturing factory", let small and medium-sized enterprises share the innovation resources of large enterprises. Hu xiaoming, vice President of alibaba group, said cloud computing is the technology of the big data era, which releases economic dividends under the scale effect and minimizes the cost of innovation. Previously, companies may need to borrow to buy servers,
