The wave of declining birth rates has hit manufacturing operations. Taiwan’s leading panel manufacturer AU Optronics has comprehensively upgraded its entire manufacturing process with intelligence and trained more than 1,300 employees in recent years.ayetalent, successfully create efficient digitalthe supply chain, At the 2023 American Manufacturing Leadership Awards (MLA), it came out in the two areas of “Digital Supply Chain” and “Corporate Culture Transformation”. Kay Furen, CEO and general manager of AUO, said that the results demonstrated by AUO’s “Smart Manufacturing Exhibition” held for six years have become an important target of observation for supply chain customers.
In addition, AUO also received the annual “Manufacturing in 2030 Award” from the American Manufacturing Association, recognizing AUO for leading the manufacturing industry toward a smart and sustainable future.
Ko Furen said AUO has promoted smart manufacturing since 2015, not only by introducing software and hardware equipment, but also by establishing AI artificial intelligence courses at AUO University to lead professionals to learn and change their thinking. . So far, it has trained more than 1,300 internal experts. Through the introduction of automation equipment and connection to the IoT Industrial Internet of Things, the production process is intelligently upgraded. It not only realizes remote monitoring and management, but also combines AI deep learning to use big data to achieve self-prediction and decision-making, successfully promoting full automation. production process, achieving efficient production and stable quality, and becoming a reliable supply chain partner for global brand customers.
Looking back at the past three years, facing overall environmental challenges such as epidemics, wars, inflation, and interest rate rises, Ke Furen pointed out that the world has been hit by unprecedented impacts, which have also brought more severe tests. Industrial supply chain. As the world’s leading provider of electronic display solutions, AUO has made long-term investments in the digital transformation and upgrading of factories. Through the four key links of smart research and development, material supply optimization, digital manufacturing, and warehousing and logistics, it comprehensively optimizes the product production process and significantly improves the production efficiency and information flow, according to AUO The yield rate of the Ke Longtan plant reached a new high in 2021, and it also achieved a record of no delivery delays.
In the smart research and development process, AUO has developed a color saturation simulation system, introduced big data analysis algorithms, and conducted simulations related to material selection to predict customers’ favorite colors and material penetration rates in advance , thereby increasing the efficiency of the design phase. Up to 83%. In the front-end panel manufacturing process, a component standardized database was established and combined with the layout design algorithm, successfully shortening the mask design process by 50%.
In terms of material supply optimization, AUO achieves complete product life cycle management through commercial ordering, purchasing management and full-process connection of suppliers. Through material cost transparency, overall cost is considered in the product design stage, and smart evaluation systems are used to help customers shorten the evaluation process by up to 85%. Also, it is equipped with an optimal resource allocation model to achieve order fulfillment and acting as a stable customer, solid supply support.
In the digital manufacturing phase, AUO covers everything from production scheduling, equipment maintenance, process quality to defectsSearch,Comprehensively upgrade intelligent. To overcome the problems of production capacity shortage and scheduling complexity, intelligent scheduling system driven by data streaming is used to improve the initiative and adaptability of production scheduling. Additionally, AUO will introduce smart interconnected devices (SPIDER), AI health monitoring PHM platform and MR mixed reality technology to perform remote machine repairs, increase equipment availability by 10%, reduce unexpected downtime by 20%, and introduce bionic collaborative robots. Uses up. Assist in equipment maintenance to achieve standardized operations and significantly reduce the risk of human hazards.
In terms of strict process quality control, AUO uses automated machine learning (AutoML) for early discovery of key factors affecting yield, and fully automated defect detection to solve the problem of inconsistencies in human, Introduces intelligent inspection and repair to location and repair. Eye Inspection Standards. a problem, while reducing manpower hours by 66%.
In terms of warehousing and logistics management, AUO has introduced two key technologies: digital twin system and intelligent automation. The digital twin system is used to integrate virtual account content with physical products. Even if they are not at the warehousing site, order information and product locations can be understood remotely and in real time, achieving virtual and physical integration and eliminating the dilemma. legacy system integration. Intelligent automation technology can directly plan the optimal path and combine it with real-time dispatch of unmanned trucks to improve warehousing and logistics efficiency by 30%, achieving less inventory and high-efficiency warehousing and logistics management.
Ke Furen emphasized that the starting point of AUO’s transformation is to establish internal awareness of digital transformation and smart manufacturing. In 2018, AUO launched a smart manufacturing talent training program, introducing courses and external training from AIA Taiwan Artificial Intelligence School to enhance employees’ data analysis and AI technology capabilities. Trainees can further apply what they have learned and actually implement AI solutions in their units. Solutions, and indeed field projects combined with the professional knowledge of academic professors, were introduced into the classroom, worked together to discuss key issues, and jointly explore solutions. To date, more than 1,300 internal AI smart manufacturing experts have been trained, and a total of 342 AI projects have been implemented, fully demonstrating the friendliness. The university serves as the driving force behind the dual-axis transformation strategy.
Art(TagstoTranslate)AI(T)Supply Chain(T)Detection
