The role of PLM in Industry 4.0
1PLM Support Customization
Support Customization is one of the characteristics of Industry 4.0. In the Industry 4.0 era, personalization is not like buying a car now, only a very limited selection of colors, models, etc., but involves key parts such as engines.
The selected part is essentially a design. The user is not a designer, and the design is a very professional work. To solve this contradiction, we need to use software to support. This software is PLM. PLM provides the right components to ensure that the user's selected components work with other components and ensure product quality. In this sense, PLM is like shoot camera: Autofocus, auto-iris, so that ordinary people can also take close professional photos.
2PLM supports intelligent production
The intelligent production process relies on smart factories and smart products. Among them, intelligent products are developed by PLM: part of the design by the developers, the other part of the user's own design. The basis of design software is PLM.
In the Industrial 4.0 factory, the smart product is a CPS. The virtual part of this CPS is first designed by PLM and then linked to production planning and specific components by ERP, so that it can be intelligently produced by a new generation of MES in the Industrial 4.0 plant.
3PLM support for personalised service
Customized product delivery users will face the challenges of service: the parts are personalized, the maintenance personnel may not be able to understand the specific use of the device is the type of parts. How to do the service effectively? Personalized services still require personalized information, and this information is managed by PLM.
Therefore, for a specific product, in the beginning of the design of PLM is a design diagram, the production of PLM is a process method, the use of PLM is the manual, maintenance and maintenance of PLM is the medical record card. This allows for more accurate and efficient service.
The role of PLM in the transformation of manufacturing enterprises
If industry 4.0 is a long process of development, the transformation of manufacturing enterprises is the actual pressure faced by enterprises. The direction of manufacturing enterprise transformation is nothing more than two: one is research and development, and the other is service. Which is the "Smile Curve" at both ends. PLM has an important supporting role in the transformation of these two directions.
Why can PLM support enterprise transformation? It is easy to understand the development and service as a production process. Traditional industries mainly produce physical, the competitiveness of modern industry is the production of ' knowledge products ': Design drawings, process methods, software and so on. In order to improve production efficiency, the production of physical products has undergone a shift from manual labor to industrialized production. In the same vein, the production of ' knowledge products ' also has to be more efficient.
Modern industrial production begins with the invention of the assembly line: the so-called Industry 2.0. Assembly line production is more efficient because it compresses unnecessary labor (such as workers changing tools, moving around). Everyone does one thing. To do this, a lot of people must collaborate to complete it. To work together, each operation must be standardized.
PLM is also the same: to improve the ' knowledge product ' production efficiency, we must reduce all unnecessary design and innovation. Specifically, the use of existing components, knowledge and methods to solve new problems and meet new needs is the best way. And PLM is used to manage these things. At the same time, PLM can also be used in the development, production, service process synergy. In a sense, PLM is used for ' knowledge products ' production of ERP, MES.
The production of ' knowledge products ' should keep up with the trend of the times, and it must be combined with information technology and information technology as the tool, and this tool is PLM.
Of course, to achieve the ' knowledge product ' production process, only the information technology is not enough, must be in line with the research and development system reform. This is an off-topic, not much to say here.
The use of industrial big data must rely on PLM
Big data is a hot spot in recent years. Using big data is critical to the future of industrial enterprises. Sadly: Big Data theory has been kidnapped by some ulterior motives and by so-called experts, and companies that don't understand are likely to be misguided. In some ' bricks ' eyes, big data is a bunch of glittering treasures that can be exchanged for real money at any time. Don't know, unstructured data is difficult to use, ' haystack ' is not only a time-definitely work, but also a technical work: if the taste of the mineral is too low, gold will be a loss of money trading. Some data can be found in gold, and more data is still rubbish.
The key to good big data is to suggest a suitable PLM. This is because the knowledge and data in PLM, like cash in a bank, can be used at any time. Data, knowledge is a very worthwhile investment of "cash": it will increase because of "deposit", but not because of "withdrawal" and reduce.
It takes a lot of effort to do PLM.
What is missing in the information age is not knowledge or information, but human attention. PLM does not work well, useful knowledge and data will be drowned in useless data and knowledge of the sea, become difficult to use waste.
To do a good job of PLM, the key is to do a good job of data and knowledge structure. The larger the PLM system, the more important the structure is. This is like the management of books: If you have only a few books at home, you can find them anywhere. But if it is a library, there are millions books, it needs to be carefully catalogued and stored. Books that are not catalogued and stored in an orderly manner are tantamount to a pile of waste paper.
The difficulty of PLM is here, too. Compared with ERP and MES, the process of product development and service is very poor, the standard of data is very poor. Therefore, the structure of knowledge and data is very difficult.
PLM has developed rapidly in the discrete manufacturing industry. But it is hard to apply it to the process industry. The reason: data and knowledge in the process industry are at risk of ' combinatorial explosion ', and it is difficult to grasp what data and knowledge should be stored and what should not. In this way, PLM will be very irregular during execution.
Similarly, the Industrial 2.0, 3.0 era of PLM for the Industrial 4.0 era, will also face a number of challenges. As the Industry 4.0 notes, the future of the product has become a system, the complexity has greatly increased. At the same time, PLM data management, to be suitable for CPS requirements. In other words, the requirements for completeness of data have been greatly improved.
How are these contradictions resolved? Let knowledge be automatically pushed to where it is needed.
Specifically, the first step is to process and role the process of development and service. When a particular role enters a particular process, the knowledge that is really useful is automatically pushed into front of him. At this time, the development and service as a knowledge of production, the need to push the ' knowledge ' as a part, push the knowledge system as an intelligent production system, the traditional PLM as a modern unmanned warehouse. This ' production system ' requires a higher level of knowledge to manage. This is probably the "system of systems" that chief An Peng said.
These truths are easy to say, and it can be very difficult to do them. This is not only a technical problem, but also a corporate strategy, corporate culture, investment issues. The development of a truly life-like PLM, is a very hard work, is a ' black hair people boil into white people ' work.
In particular, data needs to be accumulated to a certain extent to play a key role. A good growth PLM can become a ' dragon ', and poor growth will become ' worms '. The growth of PLM itself must be adequately focused. This may be a key factor in PLM success or failure.
There is no free lunch, and the fruits must be earned through hard work. If the industry 4.0, industrial Big data as people dream of "fruit", the construction of PLM is a tree. Focus on Industry 4.0, focus on industrial big data enterprises, should focus on PLM. This is the need for long-term unremitting, practical work.
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The role of PLM in Industry 4.0
