Design of Experiments

• On-Demand Webinar Mastering Analytical Development: Implementing DOE for the ICH Q14 Enhanced ApproachThis insightful webinar guides you through the enhanced approach described in the recently updated ICH Q14 guidance and then demonstrates the tools needed to implement design and analysis of DOE.
• Technically Speaking Design of Experiments for Reverse Engineering FormulationsIn this Technically Speaking, discover the full potential of your experiments with our upcoming webinar on design of experiments (DOE). This 45-minute session demonstrates applications of DOE methods to responses that are characterized by a curve of correlated response values – even spectra.
• Data Insight Optimize Your Processes with Interactive Statistical ModelsLearn how to make sustainable, cost-effective, and data-driven decisions through model building.
• Time to Innovate Cerba Research: Achieving Process Excellence with Design of ExperimentsWatch this video in which Marie Gerus-Durand from Cerba Research explains how Design of Experiments offers a strategic approach for professionals aiming to refine their operations for improved outcomes.
• On-Demand Webinar Using Design of Experiments (DOE) to Optimize and InnovateThis web seminar dives into the contrast between testing variables “one at a time” vs. “testing several” through Design of Experiments (DOE).
• Data Insight Getting Started with Design of ExperimentsDiscover how design of experiments (DOE) can enhance industrial R&D, streamline operations, and improve efficiency.
• Data Insight Problem Solving with Design of Experiments: Navigating Complex Challenges in R&D and Manufacturing Discover how design of experiments (DOE) can enhance industrial R&D, streamline operations, and improve efficiency.
• On-Demand Webinar Workshop: Solving complex problems by mastering Design of Experiments (DoE)This series of three one-hour workshops is intended to expand existing knowledge of DOE concepts. You will learn about designs that go beyond classical factorial and fractional factorial designs and explore how optimal designs can be tailored to the practical constraints of your process or system.
• Data Insight Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers Explore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders.
• On-Demand Webinar Gaining Insight into Diverse Chemical Challenges with Designed ExperimentsDuring the session, learn how DOE successfully overcame several diverse chemical industry situations that resulted in time and resource savings, scientific breakthroughs, and financial benefits.
• Time to Innovate Miltenyi Biotec: Mastering Decision-Making in Process Engineering: An Exploration of Design of ExperimentsWatch this video and get the knowledge and tools you need to make data-driven decisions using DOE.
• On-Demand Webinar Analyzing Curve Data with JMPIn this webinar, you’ll learn how tools in JMP will help you better understand the variation in the shape of curves and how to use curves in Design of Experiments and modeling to better understand how input variables effect the shape of curves.
• On-Demand Webinar Getting Started with Design of Experiments (DoE)This series of three one-hour workshops provides the necessary know-how and resources you will need to get started with DOE, including inspirational examples of the use of DoE in the many aspects of bringing products to the market.
• On-Demand Webinar Smarter Innovation with Design of ExperimentsIn this series we’ll learn how to effectively implement (or expand) the use of design of experiments at your organization.
• On-Demand Webinar A New Tool Makes Experiment Planning EasyIn this presentation, you'll learn about exciting new tools in JMP that makes experiment planning easy for both beginners and experienced users.
• Statistically Speaking Synergies of Designed Data Collection and Big DataIn this Statistically Speaking, Christine Anderson-Cook while she discusses Big Data and Designed Data Collection and the synergy between the two.
• Statistically Speaking The Same, Similar, or Different? The Probability of Agreement Methodology for Evaluating Practical EquivalenceNathaniel Stevens emphasizes the utility of collecting evidence in favor of equality rather than against it, providing an overview of the probability of agreement framework for evaluating data in this way.
• Time to Innovate Synthomer: Making Data-Based Decisions in R&D and Manufacturing with Modern Design of ExperimentsJoin this webinar and learn how to get going with Design of Experiments (DOE), where to acquire DOE know-how during your adoption journey, and what to do to encourage others to follow.
• Data Insight When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
• Statistically Speaking DOE: A Critical Component in the Data Scientist’s ToolboxFather-daughter duo Dr. Christopher Nachtsheim and Dr. Abby Nachtsheim discuss applications where DOE approaches have been successfully used for strategic development of synthetic data sets for test and evaluation of ML algorithms.
• Time to Innovate Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
• Data Insight How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
• Data Insight Improving Existing ProcessesIn this webinar you will attain a deeper understanding of products and processes when some of the variables are measured at higher frequencies than others.
• On-Demand Webinar Applications of Modern Design of Experiments (DoE)In this fun, engaging and free three-part online training program on DoE, delivered by JMP, you will be introduced to DoE and discover how it enables scientists and engineers to develop better solutions faster.
• Technically Speaking Getting to Market Faster with Smart ExperimentationIn this Technically Speaking, Byron Wingerd will discuss how to lower the threshold for statistical methods, including design of experiments (DOE), process verification, and root cause.
• Data Insight Generating Insights from DataIn this webinar you will learn the importance of using your domain knowledge, experience and intuition alongside statistical and machine learning methods.
• Data Discovery for the Biotech Industry Design of Experiments for BioTech/Pharma ManufacturingIn this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products.
• Statistically Speaking Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
• Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
• Time to Innovate Solvay: Industrial data science for chemical process perfectionJoin us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
• Technically Speaking Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
• Technically Speaking Design of Experiments in Lean Product DevelopmentLearn how design of experiments (DOE) can serve as the engine to help you quickly generate the knowledge needed to deliver profitable value streams.
• Statistically Speaking The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
• On-Demand Webinar DOE Case Studies with Professor Peter GoosProfessor Peter Goos presents explains why, when and how to use response surface design, screening design, definitive screening design and split plot design.