AZP-QE
AZAPA Quality Engineering tool helps streamline experiments and measurements, and assists in creating statistical models.
【Statistical and Quality Engineering Based MATLAB Data Analysis Toolset】 〇AZP-T method The T method (Taguchi Method) is a type of regression analysis in machine learning and is an effective analytical technique for prediction problems and calculating contribution rates. The analysis flow involves calculating the contribution degree (SN ratio) and sensitivity of each item from the training data, and using these to determine the estimation formula for the signal. This estimation formula is then used to predict the values of unknown signals. 〇AZP-MT method The MT method (MT-method) is a type of multivariate analysis and is an effective analytical technique for classification problems. The analysis flow begins by loading good product data as unit data to create a unit space. Next, defective product data is loaded as signal data to calculate the MD value. This MD value is used to distinguish between good and defective products. 〇AZP-PD (Parameter Design) Parameter design is a design methodology aimed at optimizing the functionality of a system. To prevent issues in the market, each design parameter that constitutes the system is determined using statistical thinking to ensure robustness against disturbance factors and to maximize performance.
- Company：AZAPA
- Price：100,000 yen-500,000 yen
