Design of Experiments

• 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 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 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.
• Customer Story HP HoodMoving toward widespread statistical enablement, Hood accelerated R&D and deepened product knowledge.
• 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 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 webinar you will learn how this innovative statistical method 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.
• 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.
• 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.
• 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 Insight Going Beyond SpreadsheetsIn this video you will see how interactive, no-code analytics enable any scientist or engineer to go beyond spreadsheets and discover patterns in data quickly and easily.
• Time to Innovate Biotronik: Accelerate Product and Process Development with Design of Experiments (DOE)In this video, we speak to Christian Guhr, a Process Engineer at BIOTRONIK, about his experience of using data analysis, and specifically Design of Experiments, to accelerate product development.
• 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.
• Customer Story Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
• Customer Story Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
• Success Story Imperial College LondonResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
• Time to Innovate Symrise: Mastering complex processes with Design of ExperimentsLearn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
• Time to Innovate Dr Reddy’s: How to make analytical methods fit-for-purposeLearn about advances in developing scientific analytical methods development and validation in the pharmaceutical industry
• Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
• Time to Innovate Start being predictable: improve your experimentationLearn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
• Time to Innovate GSK: Optimising your experimentation process using JMPLearn how GSK’s Design of Experiments approach has resulted in a more efficient development process and delivered greater understanding and control of their drug production processes
• 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
• Time to Innovate AstraZeneca: Future chemistry: exploring the possibility spaceFind out how to accelerate discovery by understanding vast and complex chemistry problems with visual and predictive data modelling
• Time to Innovate Stan Higgins, OBE: Capturing value from your data to accelerate innovationLearn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• Customer Story AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
• Customer Story XaarSix Sigma champions accelerate an analytics transformation.
• Customer Story HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
• Customer Story LonzaA customized design of experiments approach optimizes yield in bioreactors.
• 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.
• Article Dark data and the pandemicAuthor David Hand explains the novel statistical challenges presented by the novel coronavirus.
• Customer Story SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
• Statistically Speaking Design of experiments: An essential tool for discovery and innovationSyngenta, Alvotech and FUCHS count on DOE to improve their science and engineering processes
• Time to Innovate Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
• Article Just add water....Tim Gardner shows how applying designed experiments can turn something as simple as "adding a little water" into an operational gain worth hundreds of thousands of dollars per run.
• Statistically Speaking Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
• 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 Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
• Explorers Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
• White Paper The JMP Design of Experiments AdvantageThis paper details the state-of-the-art DOE capabilities offered by JMP to help you tailor designs to your specific problem and resource limitations.
• White Paper Optimizing Processes with Design of ExperimentsWhat is design of experiments (DOE), and how does it deliver value? Through a case study approach, this white paper answers these questions and more.
• White Paper Optimizing Pharmaceutical Production Processes Using Quality by Design MethodsGood news! Did you know that your quality by design goals can be derived in a straightforward way, the results can be easy to verify and that this method allows for further improvement of the processes without the need for re-registration? Find out more with this case study from pharma.
• White Paper Split-Plot Designs: What, Why, and HowLearn how to design and analyze split-plot experiments and why split-plot designs are often cheaper and more efficient than other methods.
• White Paper Moving From Minitab to JMP: A Transition GuideA practitioner's review of JMP vs. Minitab: unearth two different approaches to common statistical techniques and principles.
• Technically Speaking QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
• Analytically Speaking W.L. Gore: Using Statistics as a Competitive AdvantageGlobal Head of Statistics Maria Lanzerath works with scientists and engineers to ensure that statistics is embedded throughout the manufacturing process.
• Explorers Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
• Explorers Optimal Experimental Plan: DOE Experts Peter Goos and Bradley JonesJoin author and University of Leuven Professor Peter Goos and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs that can reduce the cost of experimentation, accommodate multiple types of factors, and lead to optimal factor settings even when the design space is constrained.
• Article What Is Experimental Design?Experiments are more than a demonstration of scientific principles. Bradley Jones describes a utopia where experimental design is a standard engineering procedure and where all products get to market more quickly with better quality and lower cost.
• Article Why Design of Experiments Keeps Science in ScienceA former Kodak chemist outlines how DOE spurs process improvement and efficiency, leaving more time for researchers to focus on the science they love.
• Article Experimental Design MethodsSelect a design with N runs: How to negotiate experiment size when choosing a design.
• Analytically Speaking How Do You Build a Great Analytic Culture?Jon Weisz and Lou Valente of SAS on how to empower people to make data-driven decisions.
• Analytically Speaking Prolific Author on Split-Plot and Optimal DOE Shares InsightsPeter Goos, a top contributor to the field of design of experiments, on his research and its applications.
• Explorers Make Your Experiments Count: DOE Expert Bradley JonesJoin author and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs.
• Analytically Speaking What Every Engineering Manager Wants You to KnowProblem Solving for New Engineers author Melisa Buie talks about the critical concepts needed to solve problems.
• Technically Speaking Model Selection for Designed ExperimentsSelect your best! Learn how ad hoc model reduction, stepwise regression and effect screening can be used to help you determine the best model for your designed experiment.
• Technically Speaking Boosting Performance With Custom Designed ExperimentsStreamline your experimentation with a customized experimental design. Test only those factors that have the biggest impact on your processes. Find out how in this film development case study.
• Analytically Speaking What Does It Take to Be a Successful Statistician?Experienced statistical consultant shares career experiences and ideas for expanding your statistical repertoire.
• White Paper Definitive Screening Designs with Added Two-Level Categorical FactorsInventors of Definitive Screening designs share a new development in this reprint from the Journal of Quality Technology.
• White Paper Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order EffectsIntroducing….a class of economical three-level designs for screening quantitative factors.
• Analytically Speaking How to Add Structure to Your Decision MakingLos Alamos National Lab scientist shares research on objectively considering tradeoffs.
• On-Demand Webinar DOE Case StudiesProfessor Peter Goos presents explains why, when and how to use response surface design, screening design, definitive screening design and split plot design.
• Analytically Speaking The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
• Technically Speaking Optimizing Your Process With Design of ExperimentsIn this study, a specialty chemicals supplier is struggling to manufacture enough pigment at the required specifications to meet customer demand. See how they implement a more efficient process.
• Analytically Speaking Hear From Design of Experiments Thought LeadersDennis K.J. Lin and Bradley Jones are known for their considerable contributions to design of experiments.
• On-Demand Webinar Visualizing Response SurfacesExplore the benefits of interactive data visualization on response surface modeling with John Sall, creator of JMP.
• Customer Story OLEDWorksWell-designed experiments deliver results for an OLED pioneer.
• Customer Story University of OregonAn innovative master's program propels young scientists to industry careers.
• Customer Story ASM InternationalASM utilizes statistical methods companywide to be more effective and efficient.
• Customer Story W.L. Gore GermanyStatisticians use DOE in JMP to optimize manufacturing processes and products.
• Customer Story Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
• Customer Story Johns Hopkins UniversityAtmospheric scientist Rich Giannola uses JMP to study El Niño and La Niña.
• Customer Story Pierre FabreJMP gives Pierre Fabre the tools to optimize its pharmaceutical and consumer health product lines.
• Customer Story London DNA FoundrySynthetic biologists improve experimentation with DOE and robotic automation.
• Customer Story Samson RopeEngineers reimagine one of the oldest technologies in human history: rope.
• Customer Story Cal Poly Department of Industrial and Manufacturing EngineeringStudents prepare for competitive industry careers by using JMP to learn manufacturing engineering.
• Customer Story SymriseFermentation specialists use design of experiments to perfect product development.
• Customer Story Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
• Customer Story GlaxoSmithKlineScientists and engineers improve production processes.
• Customer Story W.L. Gore JapanW.L. Gore Japan improves process efficiency by adopting a statistics-driven operational approach.
• Customer Story Eastman ChemicalJMP and JMP Pro allow a team of statisticians to interactively engage with their data and share insights with internal clients.
• Customer Story US SyntheticResearch and process engineers use design of experiments in JMP to get quicker and more reliable results.
• Customer Story BASFChemists uncover a replacement for phosphates in dish detergent.
• Customer Story BridgestoneAnalytics speeds the R&D process for high-performance tire formulations.
• Customer Story Kirin Holdings Company, LimitedAnalysts use multivariate analyses to identify properties that make beverages more palatable to the young consumers.
• Customer Story Technical University of DenmarkAn analytical chemist uses DOE to develop a more comprehensive method to detect carcinogenic food processing contaminants.
• Customer Story Federal Aviation AdministrationThe FAA analyzes air traffic data to help planes keep their distance.
• Customer Story PerrigoPerrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing
• Customer Story Saint-Gobain NorProA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
• Customer Story MenariniFormulation development technicians implement continuous improvement within the regulatory framework.
• Customer Story US Department of Energy National Renewable Energy LaboratoryUS Department of Energy optimizes solar energy systems with JMP.
• Customer Story CEA MarcouleAn R&D scientist uses DOE to speed research in nuclear waste conditioning.
• Customer Story SK HynixA semiconductor giant creates efficiencies in technological development through machine learning.
• Customer Story Amperex Technology LtdIntegrated JMP analytics enable engineers to reduce process variation and optimize production.
• Customer Story Fujifilm Diosynth BiotechnologiesScientists use the Functional Data Explorer platform in JMP Pro to develop a cost-effective means to advance process knowledge in less time.
• Customer Story SynbiCITEStatistical analysis brings discipline to state-of-the-art synthetic biology research.
• Customer Story Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
• Customer Story P&GQuantitative scientists use statistics to advance P&G’s most iconic consumer brands.
• Customer Story Johnson Matthey BiocatalystsA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• Customer Story SyngentaSyngenta brings science to the art of agronomy with cutting-edge statistical methods and sustainable technologies
• Customer Story CienaEngineers use analytics to harmonize measurement systems, build process knowledge and maintain quality.
• Customer Story CelltrionQuality by Design advances safety, affordability and regulatory accountability.
• Customer Story AnatuneChemists use DOE to design customized robotic solutions for chemical analysis.
• Customer Story Daeduck ElectronicsEngineers work to reduce the scrap budget, shorten experimentation times and extending the benefits of automation.
• Customer Story ColoplastProcess specialists use Six Sigma and DOE to ensure a high quality product.
• Customer Story AtotechEngineers use DOE to respond to the demands of a fast-paced industry.
• Customer Story LynredEngineers use JMP Pro to optimize quality and reliability.
• Customer Story Tsukuba Medical CenterTsukuba Medical Center Hospital established a model for predicting the economic life of portable medical devices (infusion pumps) using the statistical analysis tool "JMP".
• Customer Story M VenturesEntrepreneurs prove technology readiness to investors with the help of design of experiments.
• Customer Story NXPJMP Pro improves solution design and manufacturing, Six Sigma training and process improvement.