Manufacturing and production management using AI and IoT
First written in FY2018. 4 of 6 entries say "Advanced", first in FY2019. Latest entry: FY2025.
The whole theme swung hardest in 2026: 2 of 20 companies on the "Worse" side.
13 other companies' latest entry also says "Advanced".
- FY2025AdvancedAnnual report
「Improving the efficiency of existing businesses and creating new business models through the use of data and digital technologies” 1. DX in manufacturing operations (smart factories and AI utilization) 2. DX in sales (digital marketing)」
DX initiatives expanded beyond smart factories and AI utilization in manufacturing operations to digital marketing in the sales division, and were organized as fiscal 2025 targets. - FY2024AdvancedAnnual report
「DX in manufacturing operations (smart factories and AI utilization)」
Manufacturing using AI and IoT progressed to the stage of positioning smart factories and AI utilization as priority measures for the fiscal 2025 targets. - FY2024-Q2RestatedAnnual report
「The amount spent on research and development activities by our group during the cumulative second quarter of the current consolidated fiscal year was ¥8.5 billion. There were no material changes in the status of our group's research and development activities during the cumulative second quarter of the current consolidated fiscal year.」
Research and development activities are continuing, with research and development expenses of ¥8.5 billion in the first half, and no material changes in the status of these activities were reported. - FY2020AdvancedAnnual report
「In product inspection processes, we are applying proprietary AI technologies for image processing to manufacturing, including detecting visual abnormalities with AI and extracting inspection targets from multiple objects with AI. In addition to image processing, we are also developing technology to predict abnormalities and other events by analyzing numerical data with AI.」
The scope of application has expanded from stable operation of AI-based visual inspection of LD wafers to detecting visual abnormalities, extracting inspection targets and predicting abnormalities from numerical data. - FY2019AdvancedAnnual report
「We are further enhancing our AI technology for image processing, expanding its application range while maintaining stable operation of the LD wafer visual inspection conducted to date. By extending our proprietary AI technology to product manufacturing processes, we are promoting manufacturing incorporating AI and IoT.」
AI-based visual inspection of LD wafers has progressed from the research-stage description to stable operation and expanded application, while the deployment of AI and IoT across manufacturing processes has continued. - FY2018First statedAnnual report
「We are engaged in research and development of artificial intelligence (AI) using deep learning. We are developing proprietary learning methods and advancing production management using advanced AI by visualizing abnormalities in product manufacturing processes with AI. This AI technology has enabled highly sophisticated visual inspection of individual laser diode (LD) elements on semiconductor wafers. We will expand its application to other product manufacturing processes and promote manufacturing incorporating AI and IoT (Internet of Things).」
Measures to visualize abnormalities in manufacturing processes and conduct visual inspections using AI, expand these applications to other processes, and advance manufacturing incorporating AI and IoT are described together for the first time.