Measurement System Analysis and Statistical Testing from a Practical Perspective for Manufacturing and Quality Control
Manufacturing process in the manufacturing industry, for quality managers: A method for quantitatively evaluating "variability of measurement values."
This is an online seminar for the statistical analysis software JMP. 【Overview】 In the manufacturing industry, there are many situations where quality and process decisions are made based on measurement data. On the other hand, it is not uncommon to feel troubled by questions such as, "Can I trust these measurement results?" and "How should I interpret the results of statistical tests?" This seminar is aimed at beginners and will introduce concepts that are useful for decision-making in the field regarding Measurement System Analysis (MSA) and statistical testing, without delving into the details of formulas and theories. We will present examples of analysis using JMP while looking at the JMP interface, covering points such as: - Why it is necessary to be aware of MSA - Key points to consider when reviewing test results Even those who do not have a JMP license can take advantage of a 30-day free trial to test the features. Trial application: https://www.jmp.com/ja/download-jmp-free-trial
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Date and Time: June 17, 2026, 14:00~15:00 This seminar aims to equip participants with the "mindset" necessary to make correct judgments about data in the manufacturing field, rather than providing training on JMP operations or explanations of advanced statistical theories.
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Participation fee: Free *Advance registration is required from the page below https://info.jmp.com/register?formId=f5c18e25-632d-43f0-b273-f7a288adbe21&campaignId=701WP0000128co1YAA
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P1
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In manufacturing sites, it is not uncommon to experience variations such as "the same part measured yields different values" or "measurement results vary by person." However, such variations pose a risk that can undermine the accuracy of quality assessments and process management. The Gauge Repeatability and Reproducibility (R&R) analysis, a central method of Measurement Systems Analysis (MSA) utilized in manufacturing industries like the automotive sector, allows for the quantitative evaluation of these "variations in measurement values."
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The JMP story goes back to 1989 when John Sall decided to combine statistical analysis capabilities with graphical visualizations to animate and visualize data. For more than 35 years now, John Sall has led JMP R&D, making each version of JMP more visual, more interactive, and more practical to help users understand their data. What started as a passion project has grown by leaps and bounds. It’s now a family of statistical software products designed with scientists and engineers in mind and used worldwide in nearly every industry.













