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As soon as the environmental protection policy is about to change the current situation of the oversupply industry, the layout of the printing business will also shift, so the printing enterprises begin to rush to establish a more efficient business management system to cope with the new situation, an intelligent factory or a goal of the printing enterprises.
Printing enterprise's wishful thinking
Nowadays, most of the pressure on printing enterprises is due to oversupply, and the pressure on printing enterprises of different sizes is different. Although the total output value of printing in the country is very high, more than half of the share is concentrated in the hands of enterprises above designated size, which account for only 3% of the number of enterprises and have a turnover of more than 50 million yuan. Therefore, small and medium-sized printing enterprises are suffering from the dilemma that large orders are not available, while small orders are difficult for competitors.
In fact, the pressure of oversupply has a long history. Many peers are complaining when they meet. It seems that the shrinkage of the printing market has become a good excuse for enterprises to fail to improve their business. However, according to the statistical data, the gross domestic printing output value has not shrunk, and some printing enterprises are still expanding their equipment. Ask Heidelberg, Komori and other printing machine suppliers whether their recent sales of printing machines are mostly automatic "intelligent" new models? Ask small antelope and other full-process ERP suppliers whether their customers have installed C2M intelligent processes at the same time when importing ERP? The answer may be yes. This leads to a new question. If the printing market shrinks, what kind of calculation are these printing enterprises investing in new technologies?
The problem of oversupply has existed for a long time and cannot be solved by individual enterprises in a short time. Those who care about the trend know that the next thing that will affect the whole industry will be the industrial earthquake caused by environmental protection policies.
Recently, the government has raised the environmental protection inspection to a certain level as a national policy implementation. If printing enterprises want to pass the environmental protection inspection, they are bound to invest in environmental protection facilities that have no business benefits. This pressure is far greater than the pressure caused by oversupply. Without business, they will spend money, which is inevitably unbearable for many small and medium-sized printing enterprises. Therefore, the author judges that the huge pressure from environmental protection will push a considerable proportion of enterprises off the stage of printing. Then, the original orders produced by these printing enterprises will be free. If the proportion is large enough, the environmental protection policy will become the epicenter of the printing industry earthquake, and it is likely that the long-standing problem of oversupply will be shattered. Once the oversupply disappears, the business landscape will have to be rearranged. If a printing enterprise needs to hire more employees to complete the extra orders, is it possible to cope with future changes? This is what those printing enterprises now want to invest in "smart" software and hardware.
Definition of smart factory
When it comes to "artificial intelligence", Ma Yun said that he prefers the term "machine intelligence". It is not to turn machines into human beings, but to let machines do it as long as they are more efficient than human beings. Indeed, Alfa Dog was not set up to defeat human experts, but Google's project to implement and improve machine learning technology. The result proved that as long as there are rules and regulations, the machine can spend 24 hours learning better than a Go genius for ten years. The rules are as complex as Go. Every move can cause countless changes, and machines can do better than people. So, how is the complexity of printing technology or production process compared with Go, and what will be the performance of "machine intelligence" in the printing industry?
Let's imagine that the printing machine can automatically load and unload plates or put ink; The order management system converts the customer's demand for printed matter into the specifications of the printing process, and then into the price; The ERP management system converts the paper construction order into the glue binding or the large version order ordered by horseback riding, and commands the computer to make the plate according to the order... Are there any rules for the work that was originally done by the senior salesperson or workshop master? Can machines do better than people? If the answer is yes, we can define "smart factory" - what can be handled by machines, let machines handle as much as possible, what can be managed by computers, let computers manage more.
Since 2000, the digitalization of printing technology has mostly used computers to solve repetitive processes, but as for determining which digital chemical process can meet the needs of customers, it still depends on people to decide. Once orders increase, people have to increase. Now, printing digitization has been going on for 20 years. The rules for judging "order demand" and "printing specification" are not too complex for computers to handle. If you can teach the computer to determine which process to use and let the computer command the automatic process execution, is that "intelligence"? Today, ERP can use order information to command production, achieve the "paperless" construction order, and all production processes will not be confused, but only in this way can it handle tens of thousands of orders a day.
In addition to production, there are many departments in the printing enterprise that deal with various tasks. The daily work list or the digital changes from other departments' databases can make the intelligent ERP even the "subpoena" paperless. For example, for the work in the warehouse today, or from the printed materials stored in the workshop yesterday, or from the new consumables purchased by the purchasing department yesterday, there is no need to subpoena the warehouse administrator. Relevant personnel can also see the work they should complete from the work list of ERP. The important thing is that the subpoena is paperless, which means that all departments have standard operation methods, and employees no longer need long-term experience accumulation because of the SOP standard operating procedures.
The intelligent factory is not an unmanned factory, nor a robot running a printing machine, but a printing enterprise can use "information" to drive the working procedures or production processes of various departments. Many people think that intelligent printing plants are the future, but today many printing enterprises are using such management systems to deal with daily printing business. Is it intelligent printing plants? The author believes that the difference between intelligent factory and traditional printing factory lies in that no one knows when the order comes in, and no one knows when the express delivers the printed matter. As long as the computer knows, it will be good.
