Design of Experiments

• Data Insight From Noise to Nuance: Realizing the Full Potential of Spectroscopy and Chromatography DataExplore how to clean and analyze spectral data, maximizing valuable insights in process development
• Time to Innovate Dr. Reddy’s Laboratories : How to use design of experiments to innovate processes and productsWatch this video in which Christel Kronig, Senior Analytical Scientist at Dr. Reddy's Laboratories explains ways in which design of experiments (DOE) can be used to optimize and innovate your processes.
• 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 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.
• 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.
• Data Insight Tolerating Input Variation: How to Design for Robust Production ProcessesEnsure consistent high-quality output and operational efficiency during the transition from development to routine manufacturing.
• 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.
• Data Insight Mastering Shelf Life: Efficient Estimation Techniques & Best PracticesLearn more about the shelf life determination process and ensure that your products stand the test of time, both in terms of efficacy and safety.
• Data Insight Unlocking the Potential of Spectral and Chromatographical DataLearn a simple and efficient way of extracting the signals from the noise for a deeper and better understanding of your spectral and chromatographical data.
• 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.
• On-Demand Webinar Make better data based decisions with Statistical Modelling TechniquesIn 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.
• 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.
• 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.
• 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.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• 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.