Xie Lixia, Vice President of Dingjie Software: Embracing the AI ​​era and empowering enterprises to develop and innovate

R&D is the necessary source of energy for the everlasting enterprise. How to maximize R&D potential and achieve high-quality development in the era of digital intelligence is an important issue that companies are currently thinking about and exploring. Recently, Dingjie Software grandly held the "Digital Intelligence Empowerment·Innovative Research and Development-2023 Dingjie PLM New Product Launch Conference" in Shenzhen.

Xie Lixia, Vice President of Dingjie Software, discussed the company's R&D management innovation with the guests on the theme of "In the Digital Intelligence Era, Opening the Road to the Future of R&D Innovation".

The rewriting that needs to be done is: Xie Lixia is the vice president of Dingjie Software Company

R&D Innovation is Unstoppable

According to data from the Ministry of Industry and Information Technology, the R&D investment intensity of my country's manufacturing industry has increased from 0.85% in 2012 to 1.54% in 2021, and the average R&D intensity of specialized and new "little giant" enterprises has reached 10.3%. The heavy investment in research and development has also achieved significant results. The proportion of new product revenue has increased from 11.9% to 22.4%, and the export volume of high-tech products has also increased from 3.8 trillion to 6.3 trillion, both of which have doubled.

The above data shows that Chinese manufacturers are increasing their R&D investment, and their R&D innovative technological achievements are also constantly emerging

Mr. Xie pointed out that the keyword "new quality productivity" that has been widely discussed recently reflects the future development direction of Chinese enterprises, that is, innovation-driven is the new key and high-quality development is its qualitative connotation. Through innovation-driven R&D innovation of enterprises, new impetus will be formed for future sustainable development

Dingjie Software has been involved in the manufacturing industry for more than 40 years and has served more than 50,000 customers. On the basis of industry service experience, we summarized the four major trend changes that innovation-oriented companies in the current market usually present

1. From reverse design to forward design

Forward design is a process of product innovation. To achieve innovation based on the needs of the market and customers, only in the future can we break through the bottleneck of homogeneous competition.

2. From professional assistance to comprehensive collaboration

In the past, many companies were focused on mass production. The collaboration and division of labor in the organization were actually based on functions, which often occurred within R&D. When we continue to establish a forward design system, we will find that not only When designing products for the current market competition, we should also aim at the products that will be launched on the market in the next 5-10 years. This will expand the scope of collaboration wider, there will be more collaborative roles, and the frequency of collaboration will be higher. .

3. From single-point scenarios to business closed-loop

Take "design change" as an example. When more and more companies are considering changes now, they hope to think from the closed loop of the entire business: "Should I change, when will I change, and what will happen after the change?" What are the risks?" and other questions. When the perspective is switched, you will find that the meaning of R&D is no longer just R&D. R&D is for the company to operate better, and R&D is for the company to do better business.

4. From knowledge management to knowledge engineering

Enterprises will generate a large amount of data, drawings and documents in the process of R&D, production and customer service. However, these files may be stored in the knowledge base or hidden in a folder. Some people may be able to use them well, but many more may not or may not want to. We hope that in the future, the knowledge of enterprises will not only be limited to learning and summarizing from old masters, but also be able to discover more "silent" knowledge through technical means

Dingjie Athena Digital intelligence drives the new future of enterprises

In the past, the idea of ​​​​building information systems was that the system helped process information, or provided information for people to make decisions. It was thought in a "support" way. Entering the era of digital intelligence, the digital space and the physical world will be "flipped", evolving from the original support relationship to a driving and response relationship. The digital space drives the physical world by simplifying the complex, and the physical world responds to the digital space by simplifying the complex.

Dingjie believes that future enterprises should be determined by data and knowledge and driven by digital intelligence. With "knowledge encapsulation and task leadership" as its core, Dingjie Athena can not only drive enterprise decisions and actions with data, but also make corresponding adjustments and responses based on the feedback of the results, helping enterprises to have a more keen insight into market changes and make decisions. Make timely decisions and adjustments to help enterprises become digital intelligence-driven enterprises.

Take the "new product trial production" application scenario as an example. A certain customer is a new energy battery materials company. In the past, engineers mainly relied on hard work to make formulas, and then purchased and prepared equipment for production and instruments for experiments. This was repeated over and over again. The cycle is long, the cost is high, and the success rate is low.

By introducing intelligent thinking data-driven, enterprises can now use historical recipe data and inspection data, and also access external national standard data and industry regulations data to build a knowledge map for the enterprise. Through the ability to learn quickly, we can clearly understand the relationship between the company's demand formula and test results, and help engineers quickly adjust the formula. After the adjustment is completed, we can assign production tasks to relevant personnel, purchase required materials, and perform necessary setup and inspection work

Three months after this customer applied the solution, the company’s knowledge graph became “increasingly smarter”, and management efficiency was significantly improved: the research and development cycle was shortened, the compliance rate was improved, and most importantly, the product The conversion order rate for proofing has increased from 40% in the past to 70%.

Dingjie PLM empowers enterprises to develop and innovate

Currently, enterprise R&D management innovation is entering a period of rapid growth. Dingjie actively complies with the upsurge of digital transformation of enterprises. Through solid technology accumulation and industry cultivation advantages, Dingjie explores the management pain points of manufacturing enterprises from the perspective of the demand side, transforms them into application scenarios corresponding to actual needs, and creates a complete R&D management product system and forward-looking Strategic layout helps enterprises develop and innovate.

For more than 40 years since its establishment, Dingjie has always been committed to "creating customer digital value", accumulated service experience of 50,000 customers and 500,000 users, and created many benchmark cases in machinery and equipment, auto parts, electronic semiconductor and other industries. .

In the future, Dingjie will actively explore the integration and application of AIGC technology with other technologies to help enterprises use the new engine of "data as fuel", stimulate innovation capabilities through digital intelligence-driven technology, transform data into production power, and achieve efficient operations. , continue to promote high-quality development of enterprises

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