Pro Manual: Practical Utilization Procedures for Managing Variability in Manufacturing Processes and Statistical Analysis Methods (Actual Statistical Analysis Using Processing Data)

This manual provides a detailed explanation of practical procedures for managing variability in manufacturing processes and quality improvement methods using statistical analysis techniques, such as t-tests, correlation analysis, regression analysis, and experimental design, based on MC processing data.
In parts manufacturing, one of the challenges of machining parts with machine tools is improving dimensional accuracy. This manual addresses the variability in dimensional accuracy that arises from machining conditions (such as cutting speed, cutting amount, and feed rate) when machining automotive parts with end mills. It explains in detail the steps to statistically determine the optimal cutting conditions using regression analysis, correlation analysis, and experimental design, utilizing actual measurement data from machining tests.

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In parts manufacturing, one of the challenges of machining parts with machine tools is improving machining dimensional accuracy. This article explains the steps to statistically determine the optimal cutting conditions using regression analysis, correlation analysis, and experimental design, based on actual measurement data, due to variations in dimensional accuracy caused by machining conditions (cutting speed, cutting amount, feed rate) when machining automotive parts with end mills.
Management of variability in manufacturing processes and statistical analysis methods; master quality improvement techniques that hold the key to quality enhancement and data analysis techniques for manufacturing sites using EXCEL.
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