110 0 Kommentare ASE Unveils Plans for the World’s First 5G mmWave NR-DC SA Smart Factory

Advanced Semiconductor Engineering, Inc (ASE, a member of ASE Technology Holding Co., Ltd. TAIEX: 3711, NYSE: ASX), participated in a project kick-off event on August 23^rd to unveil plans for a 5G mmWave NR-DC SA (New Radio-Dual Connectivity Standalone) smart factory supported by the Industrial Development Bureau and Qualcomm Technologies Inc., and developed through a strategic multi-organizational collaboration that comprises the Institute for Information Technology, Asia Pacific Telecom, DEVCORE Security Consulting and the National Cheng Kung University’s Intelligent Manufacturing Research Center.

With the increasing complexity of global competition characterized by the rapid shifts in market supply and demand, as well as human resource constraints, companies continue to face unprecedented challenges in upgrading and transforming their business operations. To counter the talent crunch and adapt to diverse customer requirements, ASE is accelerating its adoption of smart manufacturing technologies including automation, and the integration of OT (operational technology) security to increase the efficiency of its equipment and productivity. In line with the company’s vision of building advanced and robust smart factories, ASE has partnered with leading industry players, and key government, academic and research institutions in converging AI applications with 5G technologies.

Overview of the 5G Collaboration

The collaboration will focus on enabling the digital transformation of factory processes that are highly secured and highly reliable through facilitating 5G wireless infrastructure integration, smart heterogeneous equipment integration and OT security system integration. Areas covered include developments in:

AI-enabled detection of abnormalities from the SOP (standard operating process) that will improve the ability of operators and maintenance personnel to ensure consistent yield quality and a safe operating environment
enhancing productivity and yield improvement through the data analysis of both current and newly purchased equipment in operation, and optimizing model parameters
intelligent material handling solutions that enables real-time inventory forecasting to delivery that result in overall reduction of production cycle time
generating high-resolution AOI images in real-time with the help of high bandwidth mobile streaming, to improve the accuracy and efficiency of quality inspection
the deployment of 5G mmWave NR-DC SA technology that offers network stability and speed to improve connectivity and in case of a machine re-layout, the reduction of set up time will also improve the overall equipment efficiency (OEE)
OT security technology to ensure the reliability, security and functionality of machines and tasks in a digitized manufacturing environment