China's garment and textile manufacturing industry is facing severe challenges

A computer is collecting operational data into a data warehouse , Keep on learning 、 After repeated optimization , Generate sales tracking table 、KPI Score balance sheet 、 Financial data and other forms and reports . The person in charge of one side of the factory put these data , Analyze the operation of the factory from different dimensions according to certain logic , And send these information to the leaders as the basis for decision-making , Or used for communication and coordination inside and outside the factory . This is a typical clothing factory “ Data based ” scene , But far more intelligent “ Digitization ” very far .

China's textile and garment industry has gone through nearly 40 Year development , From small to large , From weak to strong , At present, a small number of large enterprises have begun to completely digital transformation . Digital transformation is not just about digitalizing business processes . Whether it's business data 、 Process data or equipment data , Isolated data doesn't make much sense . Just put them from point to line 、 Combine organically from line to surface , Data can become “ Data assets ”.

Some enterprises are beginning to experience the pleasure of digitalization , Have the ability to generate various digital forms and reports , But this is only the initial stage of digitalization . A large number of small and medium-sized enterprises still stay in the backward production mode , Production depends on hand , Management depends on experience , Lack of data accumulation , Informatization is not perfect , There is no way to talk about intelligence .sofastsoft . com- No matter the brand side or the manufacturing side , Weak awareness of digital transformation 、 Lack of transformation capability is a common phenomenon .

at present , There are three types of isolated islands in manufacturing enterprises , Information island 、 Automation island 、 An island between information systems and automation systems . Enterprises actively promote intelligent manufacturing , The future is bright . But the profit margin of most manufacturing enterprises is very low , Lack of independent capital investment . Some state-owned enterprises and large private enterprises can get financial support from governments at all levels , But most small and medium-sized enterprises can only “ look on at sb . 's trouble with indifference ”, self-reliance . Enterprises are in the process of intelligent transformation and upgrading , A large screen command center is a must , A large number of automatic production lines using robots must be built ,MES The system is essential . But as for whether it can achieve actual results , Only enterprises “ affair ”.

In the process of promoting intelligent manufacturing , Many enterprises are concerned about the establishment of non manual factories 、 The black lamp factory is eager to try , Think these are smart factories . for example , Japan FANUC Fully automatic assembly of servo motor , It can be done 40 Seconds to produce a product , But the premise is that the products should be standardized 、 serialization , And have a design for automated assembly , Change the structure that needs to be inserted with cables into the socket structure .

From a technical and management point of view , There are still five difficulties in the transformation from made in China to intelligent manufacturing in China ：

1. Intelligent manufacturing is based on the new Internet of things 、 big data 、 The deep integration of cloud computing and other digital technologies with advanced manufacturing technologies , Throughout design 、 supply 、 manufacturing 、 Services, etc. are manufactured throughout the supply chain 、 Operation and management . therefore , Intelligent manufacturing includes two systems engineering , One is intelligent manufacturing technology ( Manufacturing technology and information technology ) Integrated systems engineering , The other is the system engineering of management .

2. The equipment manufacturing industry is still the bottleneck , Can not keep up with the development of intelligent manufacturing . Intelligent manufacturing will eventually fall on manufacturing technology and equipment , Although our country is on the Internet 、 The Internet of things 、 big data 、 Cloud computing and other digital technologies 5G In depth application is in an advantageous position , But in manufacturing execution units —— Machine tool , Compared with other countries, there is still a big gap .

3. The in-depth development of the basic data platform is not controlled . Enterprises should realize intelligent manufacturing , need MES and ERP And other two basic system platforms .

4. Algorithm development . Intelligent manufacturing needs to realize self decision based on data and fully mining data value 、 Self management 、 Self learning , Collect from a data source 、 Data presentation 、 Data analysis to self diagnosis 、 Automatic feedback 、 Automatic adjustment control , The process is inseparable from algorithm development . Requires in-depth understanding of the business , It also requires IT Technical thinking .

5. Management and organizational change . One side , Intelligent manufacturing can realize end-to-end based on data 、 Information is fully shared 、 Management platform , The original pyramid management system structure of the enterprise has been broken . Therefore, there will be great resistance to change from the owners of the original power structure , Often they have the decision-making power , As a result, the resources for intelligent manufacturing are not fully invested . On the other hand , The management mode will change due to the platformization of information , Self management of individuals and task teams 、 Self decision making mechanisms will become more and more common .