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How should traditional manufacturing upgrade industry 4.0

Source:Updated:2018-06-05 08:12:35

The industry 4.0 proposed in Germany has become the focus of many companies, and industrial companies hope to achieve the best operation effect through the upgrade of physical information system. However, it is not possible to follow industry 4.0 blindly to succeed. Enterprises must have a clear vision.

The Internet of things, big data, cloud computing and other technologies are rising rapidly, and a wave of information revolution has been launched. Industry analysts say digital and intelligent automation will generate huge growth in the global economy over the next decade, while only 10 percent of the world's manufacturing companies are now digital.

The industry 4.0 proposed in Germany has become the focus of many companies, and industrial companies hope to achieve the best operation effect through the upgrade of physical information system. However, it is not possible to follow industry 4.0 blindly to succeed. Enterprises must have a clear vision.

The current state should be evaluated first. For example, what are the shortcomings of the enterprise and the main reasons? Secondly, it analyzes the value drivers, that is, what value improvement can industry 4.0 bring to edge enterprises.

 

Evaluate the current state of the enterprise

Every period has a different situation, and the market and external environment are changing all the time. For the production enterprises, it is necessary to ensure that they can keep up with the changes so as not to be eliminated. Before digital transformation, it is necessary to analyze and evaluate the current situation of enterprises, simplify complex problems, and introduce machine learning into automatic production lines, so as to realize the improvement of higher value.

Usually manufacturing daily operations including the current production process, system, personnel and information, etc., can through these form compared to peer enterprises, found their own advantages and disadvantages, then find out the need to solve problems, and to build digital strategy, make new deployment can completely solve the problem of old.

 

In addition, qualitative data such as key performance indicators and reports should be collected to connect the problems in the production process and draw a causal diagram to analyze the root causes of low efficiency. It can be said that this is a process of observation and questioning, which helps to determine the best method for the next stage of the project and ensures that the transformation is sustainable and effective.

And, more importantly, let all from operations, production, supply chain and IT department staff to information interaction, each link is closely linked, in the supply chain, everything is connected, each worker can be in the picture, that know how to cooperate and do their work.

Find the driving force of transformation and upgrading

In addition to finding out the essential problems of the enterprise, it is also necessary to know how to change, what value will be brought by the introduction of digital solutions, and how can ordinary enterprises achieve the maximum benefits by upgrading? Therefore, it is necessary to evaluate the value drivers and know how to use the right technologies and changes to solve the fundamental problems.

What are the current and future drivers of business competitiveness? What are the key business drivers? Examples are on-time delivery, quality assurance and improved customer service. The trend of individual demands in the competitive market requires enterprises to produce products with various demands quickly, efficiently and cheaply, and provide customized services.

 

In addition, the Internet of things, and the improvement of sensor technology to provide a good foundation for industrial transformation and upgrading, the enterprise can be embedded in the product of one or more sensors, real-time state of product data, to a total life cycle management of product, can be found using the data collected by the shortage of the products, then feedback to the design and improvement program.

Therefore, in the process of upgrading to industry 4.0, enterprises should not only consider solving current problems, but also create more profits for enterprises. Through the Internet of things, big data analysis and other technologies, value-added services are constructed, such as the maintenance of late diagnosis of products. When all processes and end products are connected to the Internet, huge amounts of data will provide more possibilities for customers and provide more comprehensive services for customers.

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