A rich set of experimental design tools that meet all experimental needs.
We assist in screening important factors, identifying optimal product configurations, and arranging ideal processes. Using a rotatable 3D plot, response surfaces can be easily displayed from any angle. It is useful in various scenarios such as experimental design, parameter optimization, and process optimization. 【Main Features】 - Level factor screening plans - Investigation of general factors - Response Surface Methodology (RSM) - Mixture design techniques - Combinations of process factors, mixture components, and categorical factors - Design and analysis of split plots - Logistic regression for binary data analysis
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basic information
【Other Information】 - "Min-run Res V" plan (Minimum Run Resolution V), number of factors 6 to 50 - "Min-run Res V" (based on partial implementation factor arrangement core) Central Composite Design (CCD), maximum number of factors 50 - "Min-run Res V" (2-level factor arrangement) plan, number of factors 5 to 50 - Central Composite Design (CCD), maximum number of factors 30, maximum number of blocks 8 - Complete and partial implementation factor arrangements at 2 levels, maximum number of trials 512, maximum number of factors 21, minimum aberration block selection
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[Example from the Pharmaceutical Industry] Use of Design-Expert in Pharmaceutical Quality Control https://www.hulinks.co.jp/software/stat_graph/designexpert
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Even in a rapidly changing world, the philosophy of HuLinks has not changed since its founding. The greatness of humanity lies in our ability to think, create, and carve out a new tomorrow. We aim to contribute to society by providing carefully selected solutions that support this remarkable human ability—intellectual creation—while also offering a more comfortable environment and enhancing productivity.
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