Problems and directions in the transformation process

Digital transformation also involves many links. Here, I will talk about the problems encountered and faced by the smes I visited, as well as some suggestions for change, from the aspects of product design, digitalization in manufacturing, industrial network and collaboration, industrial big data, marketing and organizational change.

SPIET800 The first is product design. As the first link of the whole product life cycle, it is not only the link of innovation, but also the link of knowledge accumulation and precipitation. At present, the country has entered the deep water area of reform, and the development of science and technology of many domestic enterprises has entered the no-man’s land and the technology leading area. Original innovation will become the driving force for the development of these enterprises, and the basis of innovation is knowledge accumulation. How to effectively retain and inherit the past experience and design, and how to use it for innovation, is the issue to be considered in digital transformation.

In the enterprises I visited, I found that many corporate designers use design software with different copyright forms, different software, different software versions and many other problems. Many articles on digitalization have emphasized that the core of digitalization is data and the flow of data. The above problems will cause data incompatibility difficult to read, data difficult to transfer or even difficult to store, data difficult to transfer into information and knowledge.

Therefore, enterprises, especially small and medium-sized enterprises with rapid development, must pay attention to the unity of data in the design. Internationally famous design software companies like Dassault in France, Siemens in Germany, PTC in the United States, SPIET800 the reason why the software is powerful is not only a large number of functional blocks, friendly interface, many users. The core is that after more than ten years or even decades of development, the product data of all functional blocks has been able to maintain storage in a unified database, and the customer’s decades of design as long as it is constantly upgraded with the software, decades of experience and knowledge can be accumulated. That’s why their clients stick around.

Therefore, domestic enterprises must pay attention to the data unification problem when using software in the design process, so that their innovative design has the original power of digital, so that product design has both innovation and accumulation.

After the design, the data drawing must continue to be transformed into a product through the manufacturing process, and the current CAD (computer-aided design) to CAM (computer-aided manufacturing) technology has matured and been used, and now many enterprises’ production and processing equipment has reached an advanced level, but from the perspective of digital factories or workshops, Overall optimization or system optimization is the highest manifestation of efficiency. Therefore, we have to consider how the equipment is connected in parallel and series through the network, and the production management software is connected, so that the entire system can achieve the best, which is the standard to evaluate the advanced nature of the production system. This is worthy of serious consideration by business managers, one of which is that when purchasing equipment, we must consider the interface and protocol of the network, so as to ensure the interconnection of equipment, so as to form a system.

Manufacturing equipment system requirements should be the best production line, with the customer’s personalized requirements, the flexibility of the production line requirements are getting higher and higher. How to maintain the highest reliability and efficiency on the basis of flexibility is also a high requirement for the equipment design and integration capabilities of enterprises, and is also an important part of digital transformation.

Among them, small and medium-sized SPIET800 manufacturing enterprises have a lot of room for improvement in this regard, and entrepreneurs should have a good mentality in the face of the flexible and automated transformation requirements of the production line.

Because flexible and tailor-made for enterprises, with advanced production lines, are not simply copied, we have to treat him as a research and development project, to allow cooperative system integrators have the possibility of failure and trial and error, in the spirit of long-term cooperation, become partners in good faith to jointly develop production lines. Let the R&D equipment production line become its own unique competitiveness.

I work in a German manufacturing company with a history of more than 80 years, and his development can give domestic enterprises a lot of reference. His workshop exhibition hall is also placed in the 1960s, 1970s, 1980s different periods of assembly equipment, you can see his SPIET800 product assembly from the single machine to online to the production line evolution process, and see his cooperation to independent research and development, to the establishment of the equipment system department independent research and development of the entire process. It is the uniqueness, efficiency and advanced nature of his production line that ensure the advanced and non-replicable products, thus ensuring the first market share of the product. Therefore, the uniqueness of the production line can also create the uniqueness of the product.

Another problem faced by business managers in the manufacturing process is that the management of the entire manufacturing is like a black box, and how to make this process transparent and truly reflect the entire production process, digitalization is also a process that must be promoted. Only when the equipment, progress, quality, duration and other data are truly, accurately and completely collected, can the entire production process be transparent.

Many companies already use ERP and MES, and many business management also think that using these software to achieve digitization, but if the data is still entered by reports or manually filled in, there are still delays, distortions and omissions. The results of extrapolation from unreal data are also predictable.

Therefore, enterprises often encounter two problems, one is whether the entrepreneur has the courage and courage to promote transparency and break the black box. The second is whether the middle level responsible for production management is willing to cooperate to break the black box. This will involve the change of the company’s culture and organization, but also the pains of transformation, which requires entrepreneurs to think deeply.

As mentioned above, the transparent management of enterprises relies on real and reliable data. Production and manufacturing, we used to pay more attention to the product, the Internet era, many companies also understand the meaning of digital. However, how to effectively collect data, how to seamlessly connect with the management system, how to build the data highway inside the factory, how to make massive industrial big data for my use, which involves the industrial Internet and industrial big data technology.