Design of Experiments

• Article Design of Experiments (DOE) for Pharmaceutical Sciences, Biotechnology, and Medical Electronics - Bridging Innovation and PrecisionLearn how DOE is revolutionizing pharma, biotech and medical electronics engineering, making health care safer, more efficient, and more effective for all.
• 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.
• 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.
• Article Why the making stuff mindset doesn't make senseDOE expert Phil Kay discusses how design of experiments, and a little planning, can help you run projects that are more efficient, predictable and deliver the data you need to make better decisions.
• 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.
• White Paper The Why and How of Asking Good QuestionsChristine Anderson-Cook discusses how and why asking good questions helps shape curiosity and makes you a better collaborator.
• Success Story NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
• Article Digitalisation is the future of science, just ask a bologistDOE expert Phil Kay discusses how digitalisation can help automate large and complex experiments, an idea chemists should borrow from their biologist friends.
• White Paper Choosing the Right Design - with an Assist from JMP's Design ExplorerDeciding what data to collect for an experiment is a critical decision that has substantial consequences. In this paper, you'll learn how JMP's Design Explorer gives data scientists an easy way to construct and contrast multiple experimental designs that can be compared and evaluated.
• Book Chapter JMP for Mixed ModelsJMP for Mixed Models walks through, in example-driven fashion, the core concepts of mixed models and how best to apply them in practice.
• 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.
• Interview Eli LillyChao Richard Li on data literacy and DOE.
• 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.
• Statistically Speaking Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• 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.