A Collection of Practical Examples of Manufacturing DX to Solve On-Site Challenges
In the semiconductor industry, improving yield is a critical issue directly linked to profitability. Minor abnormalities and defects in the manufacturing process can lead to significant losses. By utilizing AI, we can optimize manufacturing processes, detect defects early, and strengthen quality control, thereby contributing to yield improvement. This document presents specific solutions and success stories related to the use of AI. 【Application Scenarios】 - Anomaly detection in manufacturing processes - Improvement of accuracy in visual inspections - Analysis of the causes of defects 【Effects of Implementation】 - Increased yield - Reduction of defects - Strengthened quality control
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【Features】 - Inventory optimization utilizing demand forecasting AI - Suppression of over-detection in appearance inspection using cameras and AI - Prevention of defective products through work analysis - Skill inheritance system that verbalizes the "tacit knowledge" of skilled workers 【Our Strengths】 Aismiley Co., Ltd. operates one of Japan's largest AI portal media supporting corporate DX, providing assistance for optimal AI implementation. We list over 500 of the latest AI products and services, including AI agents and generative AI, and showcase numerous case studies and utilization examples.
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IceMiley Inc. is a company that proposes appropriate solutions to solve various challenges faced by businesses through AI. Our job is to connect companies that want to develop and sell AI products with those that want to implement AI and achieve digital transformation, bringing smiles to both sides. Additionally, we operate one of the largest portal media in the country that introduces suitable AI products for companies, referencing numerous implementation and utilization case studies.
