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The "LIGHT Solver" is a cloud system that draws effective measures against issues. It incorporates personalized know-how and past trouble data into a tree-shaped brain model. Due to its question-and-answer selection method, anyone can intuitively operate it from anywhere. By inputting past trouble response reports that are dormant within the company into the generative AI, it can analyze them from a unique perspective and generate a troubleshooting tree. 【Implementation Effects】 ■ Early recovery from equipment troubles that does not depend on skills ■ Skill enhancement with each use ■ Reduced burden on experts ■ Accumulation and utilization of on-site knowledge ■ Use as educational material for talent development *For more details, please download the PDF or feel free to contact us.
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The "LIGHT Solver" is a cloud-based troubleshooting system that converts the know-how of veterans and past trouble response data into a brain model, allowing anyone to quickly identify suitable measures. It alleviates concerns in the field such as "It takes time because of lack of experience" and "Responses vary by person," achieving both early recovery and personnel development simultaneously. It liberates troubleshooting from being dependent on individuals. 【Features】 ■ Early recovery from equipment troubles that does not rely on skills ■ Skill enhancement with each use ■ Reduced burden on experts ■ Utilized as educational material for personnel development ■ Accumulation and utilization of field knowledge *For more details, please download the PDF or feel free to contact us.
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"Blooplinter" is a knowledge database that enhances the recyclability of information generated in development projects and provides speed through a combination of form and knowledge. It allows you to directly teach know-how and issues related to your company's product 3D models. The AI provides push notifications during the development process, connecting the past and future, seniors and juniors, and various departments. Insights and information generated at each stage of the development project are collected and linked to 3D shapes, making them easier to reuse. 【Features】 ■ A unique 3D shape recognition AI takes on a vast amount of work on behalf of humans. ■ The AI automatically assesses the feasibility of uploaded 3D models based on their shapes. ■ Easily extract points of change between two models generated by design changes, etc. ■ Visualize the overall status of ongoing issues, including prioritization. ■ Visualize the progress and focus areas of issues by parts (model units). *For more details, please download the PDF or feel free to contact us.
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Quality and cost account for 80% of decisions made during the product design phase. Therefore, front-loading in the engineering chain is extremely important. It is crucial to conduct preliminary discussions, and optimizing quality and cost at the early stages is key to stable production management and enhancing competitiveness. In product design, appropriate strategic planning and optimal decision-making during the consideration phase are essential for the long-term growth of the manufacturing industry. "Blooplinter" aims to strongly support front-loading as a 3D platform, assisting many manufacturing sites and contributing to overall corporate growth. By linking 3D shapes with various types of knowledge, it enables the presentation of expert know-how from the input 3D CAD data, searching for similar parts, and automatic rule checks. This allows for the identification of shapes that require critical management based on past experiences, as well as shapes necessary for checking manufacturing requirements, thereby preventing oversight in discussions and reducing rework from design to manufacturing. It significantly shortens lead times in the consideration process.
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