Design of Experiments

• 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 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.
• Data Insight Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
• Data Insight Design of Experiments: An IntroductionBy using the Design of Experiments approach, scientists and engineers can fully explore the possibilities of their process and discover optimal solutions.
• 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.
• 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.
• Data Insight Making Better Use of Spectral and Chromatographical Data in Product and Process DevelopmentLearn a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products.
• Data Insight How to Design for Robust Production ProcessesIn this webinar you will learn how to adapt a process to account for changes in material or process input.
• Data Insight Getting Started with Design of Experiments: When Many Factors MatterIn this webinars you will learn how this innovative statistical methods can help scientists and engineers in process industries optimize processes and save time and money.
• 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.
• 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.