Robust optimization development method to solve "prevention of rework, performance assurance, avoidance of quality issues, and cost reduction."
In our development support and technical consultation services, we provide education and guidance on development methods that systematically realize "prevention of rework, performance assurance, avoidance of quality issues, and cost reduction" necessary for technology and product development. To achieve the above, we offer a general-purpose robust informatics approach (a data-driven development method that enables general and robust optimization) using artificial intelligence that can be built on Excel. Our company aims for straightforward instruction using familiar examples, avoiding the use of formulas and technical jargon as much as possible. *It would be smoother if you could contact us through the inquiry form.
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【Case Studies】 ■Ensuring performance, cost targets, and quality in a variable environment ■Preventing defects in the market during the development stage, etc. - Using artificial intelligence that can be built on Excel, analysis can be performed as desired by engineers. - Even when optimal conditions cannot be reproduced in quality engineering, it is possible to identify optimal conditions. *Contacting us through the inquiry form will ensure a smooth process.
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Our company provides support for solving development challenges in the manufacturing industry, particularly specializing in engineering-focused artificial intelligence technologies, quality engineering (Taguchi method), experimental design, multivariate analysis, and we excel in lectures and practical implementation support for development methods. Additionally, we are engaged in research and development of lifestyle-related products, focusing on creating new concept lifestyle products that solve everyday inconveniences, as well as managing their licensing operations. Please feel free to contact us if you have any requests. *For a smoother process, inquiries can be made via email or through the inquiry form.