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[Data Science Case] Stabilization of Quality and Analysis of Variability Factors Using AI

I want to connect it to improvements in manufacturing conditions! A case of developing a model to predict variations in inspection results.

We would like to introduce a case where AI enabled the stabilization of product quality and analysis of variation factors in the manufacturing industry. In the quality inspection tests for drive system products, there was a challenge to analyze the variation factors of the inspection results using the data obtained from the tests, with the aim of improving manufacturing conditions and other aspects. To address this, we developed a model to predict the variation in inspection results using measurement conditions from the quality inspection tests, design information of the manufactured products, and component dimensions as features. By analyzing the parameters of this model, we interpreted them as factors and linked them to improvements in manufacturing conditions. [Case Overview] ■ Industry: Manufacturing ■ Business: Quality Inspection ■ Challenges: Factor Analysis, Improvement of Inspection Efficiency, Production Efficiency ■ Analytics/AI Solution - Developed a model to predict the variation in inspection results *For more details, please refer to the PDF document or feel free to contact us.