SIE Observation Room | Digital Transformation of Manufacturing Industry in the "AI+" Era
2024 is destined to be a year of moving towards a 'new' direction.
As a new industry development model, "AI+manufacturing" is having a revolutionary impact on traditional manufacturing models. Empowered by AI technology, the manufacturing industry has achieved leapfrog development in production efficiency, product quality, cost control, and safety production.
At the "2024 Huawei AI+Manufacturing Industry Summit" held recently, Zhang Chengkang, chairman and CEO of SIE Information, said in an interview with the media: "With the help of AI, intelligent manufacturing is bound to glow with infinite vitality. SIE will take the opportunity of jointly building the "Manufacturing AI Innovation Industry Alliance", work with Huawei and more enterprises to create AI+scenarios and AI+industry solutions, promote digital transformation and intelligent upgrading of the manufacturing industry, and stimulate new quality productivity. "
Zhang Chengkang, Chairman and CEO of SIE
In order to further promote the implementation of AI and speed up the digital and intelligent transformation of manufacturing industry, SIE Information, on the one hand, gives full play to the digital transformation experience of typical customers in thousands of industries, and uses digitalization as a carrier to run through customers' business flow, information flow, logistics and capital flow. On the other hand, from the perspective of the customer's business itself, the customer's industry and the industrial supply chain, we will carry out in-depth internal operation and external market insight, take the business perspective to improve the enterprise's market competitiveness as the goal, find new scenarios in each link of the customer's enterprise supply chain, use model building and combination as the means, and integrate cutting-edge technologies such as "AI+low code development+cloud technology+Internet of Things+digital twins" to effectively empower customers and provide them with "AI+digital intelligent comprehensive solutions" from SIE.
Enterprise digitization enters the deep water zone
SIE All In AI
In July 2023, SIE Information and Huawei signed a cooperation agreement on Pangu model. Joining hands with Huawei Cloud for joint innovation, we provide manufacturing industry customers with "out of the box" model services for segmented scenarios such as process engineering AI automation, AI quality inspection, and intelligent optimization of supply chains. In October of the same year, SIE Information officially released the first Gushen Shanmou GPT (SIE AIGC middle platform) focusing on the big model of enterprise services. The enterprise provides a comprehensive AI solution from model building, integration to business application and data management. At the same time, SIE Information also released the "Chat GPT" of industrial enterprises - SMI V10.1 SIE Industrial Brain, which is based on the industry's advanced AI model to help customers improve production efficiency and quality level.
In May this year, facing the PCB industry, SIE Information integrated its rich practical experience in the construction of digital intelligent factories in the top manufacturing enterprises of the PCB manufacturing industry. With the help of Huawei's rising AI computing power, it innovated and created "AI+PCB manufacturing industry solutions" to make PCB enterprises produce more intelligently, have better quality, and make more accurate decisions.
From the independent research and development of industrial management software in the past to the comprehensive layout of AI, we are actively embracing the current new technologies, hoping to accelerate domestic substitution through a solid technological foundation and help achieve a manufacturing powerhouse. ”Zhang Chengkang added.
AI+Thousand Industries, Hundred Businesses
Jointly opening up the future of digital intelligence
Many industries are actively adopting AI to achieve product customization, accelerate innovation, and move towards green and sustainable development. With the further development and in-depth application of AI technology, it is expected that AI technology will cover all aspects of production and life. From the perspective of typical manufacturing application scenarios:
In the automotive manufacturing industry, AI is being used throughout the entire production process from design to vehicle assembly. For example, AI can generate multiple vehicle design schemes through algorithms during the design phase, accelerating the design process and improving innovation efficiency. On the production line, AI assisted robots can achieve more precise assembly operations and improve the production process through continuous learning. Meanwhile, by analyzing production data, AI can help manufacturers achieve optimal production scheduling and enhance the responsiveness of the supply chain. In terms of sales, AI can provide personalized car configurations by analyzing customer data to meet users' personalized needs.
The electronics industry, especially semiconductor manufacturing, has also fully integrated AI technology. AI can not only quickly iterate better solutions in chip design, but also predict equipment failures and production line anomalies during the manufacturing process, adjust production parameters in a timely manner to ensure production quality and efficiency. In terms of customer service, intelligent systems can handle users' technical inquiries and after-sales service issues, providing fast and accurate responses.
In the home appliance industry, AI plays a revolutionary role, especially in product defect detection and supply chain management. AI systems can efficiently identify small defects on the surface of products, such as scratches and uneven colors, through machine vision technology, monitor the production process in real time, detect problems in a timely manner, and issue alerts. By analyzing historical data and market dynamics, predict product demand and optimize inventory management. At the same time, AI can provide intelligent suggestions for raw material procurement and supplier selection in supply chain management, ensuring supply chain stability and cost-effectiveness.
In the heavy industry sector, such as the steel and petrochemical industries, AI applications are used to improve production efficiency, reduce energy consumption, and protect the environment. By analyzing various data in the production process, AI can achieve real-time optimization of the production process and reduce resource waste. Meanwhile, the application of AI in detecting and predicting mechanical failures has reduced the risk of accidents and ensured the safety of employees.
Under the trend of big model technology, "AI+manufacturing" has become inevitable, and the role of AI in manufacturing will become increasingly important in the future. The application of AI, from automated control of intelligent production lines to data-driven support of complex decision-making processes, is shaping the future of manufacturing. At this year's Two Sessions, Minister of Industry and Information Technology Jin Zhuanglong stated on the channel that we will promote the development of manufacturing towards digitization, networking, and intelligence, carry out AI+actions, and promote AI empowerment of new industrialization. Minister Jin's speech has injected a shot of reassurance into the AI+manufacturing industry.
Looking ahead to the future, the combination of AI and manufacturing has even greater potential for development. The establishment of new business models and industrial ecosystems, as well as their positive impact on the social economy, will drive the continuous evolution of the entire industry and lead humanity into a more efficient, green, and intelligent new era. SIE will also work with Huawei to enable the digital intelligence transformation of the manufacturing industry to enter a new stage based on the "Manufacturing AI Innovation Industry Alliance", and work with more partners to create an open and shared AI innovation application platform to provide a strong driving force for the intelligent upgrading of the industry.
