Seminar on Experimental Design (DOE) for Researchers and Technologists in the Chemical Industry
Statistical analysis software JMP, JMP Pro
Accelerating innovation with smarter experiments for the chemical industry.
This is an online seminar for the statistical analysis software JMP. 【Overview】 We will introduce the approach of "Design of Experiments (DOE)," which is increasingly being utilized in research and development settings at chemical manufacturers. We will explain methods to address complex experimental challenges, such as formulation planning, factor screening, and analysis of response variations, along with specific case studies. Additionally, we will discuss how to utilize statistical methods not only for improving experimental efficiency but also for gaining deeper insights. 【Recommended for】 - Researchers and engineers involved in the development of chemical product formulations or material design - Those who want to obtain reliable results while reducing the number of experiments - Individuals dealing with continuous data such as spectra or response variations - Those interested in the application of statistical analysis in the chemical industry - Those who want to utilize experimental design in the field but are unsure where to start Even those without 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: May 19, 2026 (Tuesday) 14:00 - 16:00 [What You Will Learn in This Seminar] - How to advance formulation optimization using custom plans and formulation plans - Efficient identification methods for key factors using definitive screening designs - Applications of DOE for functional data such as time series and spectra - Experimental planning and data analysis methods using JMP [Program] 1. Optimization Plans and Formulation Plans Introduction to the use of "custom plans," which are effective for optimizing formulations with multiple components. 2. Connecting Screening and Optimization - Practical Use of Definitive Screening Designs Introduction to definitive screening designs (DSD), which allow for the simultaneous evaluation of main effects, interactions, and quadratic terms with fewer experiments. 3. Exploring "Response Changes" in Experimental Design: Analyzing the Impact of Formulation Component Ratios on Response Changes Using cases such as the following, we will introduce methods to model the relationship between formulation components and response changes based on experimental results, along with specific examples: - Changes in response (such as reactant concentration) over time differ based on variations in formulation components (factors) - Variations in formulation components lead to changes in spectral shapes (such as peak positions and intensities)
Price information
Participation fee: Free *Pre-registration is required from the page below https://www.jmp.com/ja/events/live-webinars/non-series/2026/05-19-chem-innovation
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P1
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Applications/Examples of results
See why major companies around the world are utilizing JMP. User cases: https://www.jmp.com/en/customer-stories/customer-listing/featured Applications of "JMP" in the chemical industry: https://www.youtube.com/watch?v=ZrRl8Cn67xQ&list=PLE2306A3DE68559C4&index=35
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Company information
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.
