"JMP Statistical Analysis Software: Basics of Experimental Design" Hands-on Seminar
For researchers and technology developers in the manufacturing industry! Start with no-code experimental design (DOE).
This is an introductory seminar to learn the basic operations of JMP's "Design of Experiments (DOE)." Anyone can participate, regardless of industry, job type, or experience with design of experiments. You will be able to experience the basic operations and functions of design of experiments while actually operating JMP on your own device, following the instructor's explanations and the provided text (PDF version). [Content] The seminar will focus on explaining the procedures for creating experimental designs, entering experimental data, fitting models, and visualizing results (such as contour plots and response surfaces) using JMP. JMP's "Custom Design" is a flexible experimental design creation feature that supports screening experiments and optimization experiments. It allows for the combination of various types of factors, such as continuous factors, categorical factors, and mixture factors, and can also create experimental designs with constraints on factors. In this seminar, we will introduce these features and how to utilize them while actually creating experimental designs using "Custom Design." If you do not have JMP, you can participate using a 30-day free trial version. Trial: https://www.jmp.com/ja/download-jmp-free-trial
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basic information
Date and Time: September 16, 2026 (Wednesday) 14:00–16:00 (This is an online seminar using Zoom) [Target Audience] - Those looking for tools for experimental design - Those who want to verify if members within their department can effectively use JMP's experimental design - Those who know that JMP has experimental design features but are unaware of what can be done with them [Topics Covered] - Overview and features of experimental design that can be implemented in JMP - Screening experiments using "Custom Design" - Optimization experiments (response surface) using "Custom Design" - Creating flexible designs with "Custom Design" [Seminar Text and Sample Data Used] The seminar text (PDF) and sample data to be used will be sent to the email address you registered with, along with a download link, by three business days before the seminar date. Since the seminar will involve operating JMP while referring to this text, it is recommended to print the text in advance or prepare two screens using an extended monitor.
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Free (Pre-registration is required from the page below)
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Applications/Examples of results
"Democratization of Data" and Sharing the "Wisdom" of Manufacturing Across the Company - TOTO's New Exploration of "Good Products and Uniformity" [Challenge] The manufacturing of sanitary ceramics using natural raw materials involves approximately 13% shrinkage during the drying and firing processes. As products become larger and more complex, the challenge is how to maintain "uniform" high quality and how to convert the "tacit knowledge" of skilled artisans into "explicit knowledge" to pass on to the next generation. This has been a crucial issue at TOTO Ltd., which has a history of over 100 years and is fundamental to the company's manufacturing. [Solution] Exploratory data analysis using JMP was introduced for the manufacturing data from the advanced Shiga factory. By deepening the high yield achieved through the introduction of the first barcode system in the sanitary ceramics factory, we quantified the "good product conditions" using visual verification with graph builders and techniques such as partitioning and cluster analysis, resulting in improvements in direct yield and overall yield. Additionally, JMP was adopted for the foundational education of the "in-house study abroad program" over two years, aiming to enhance company-wide data science skills. [Results] Please check the following page for details! https://www.jmp.com/ja/customer-stories/toto
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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.
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