Application Study on Kioxia’s AI Smart Factory

This technical brief presents an application study of Kioxia’s AI Smart Factory, focusing on the integration of advanced technologies in semiconductor manufacturing. The study outlines the smart factory's infrastructure, which generates over 3 billion data points daily, necessitating the use of AI for data analysis to enhance production efficiency. It details the development of a big data infrastructure capable of processing vast amounts of sensor and inspection data using distributed technologies like Apache Hadoop and Spark. The document also describes various AI applications, including image classification for quality control and failure sign detection for manufacturing equipment. Additionally, it discusses process informatics, emphasizing the optimization of manufacturing processes through AI, including Bayesian optimization techniques to reduce experimental trials. The study highlights the collaboration with academic institutions to enhance these technologies, aiming to improve productivity and quality in semiconductor manufacturing.