Resource Center
Quality Engineering, Reliability and Six Sigma
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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DairygoldA dynamic process-enabling tool helps develop the analytics capability of the whole organization.
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STMicroelectronics ShenzhenA tiered Six Sigma program and standardization around JMP drive large-scale improvements.
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Monitor, Understand and Optimize Your Processes: A Manufacturing Case StudyUsing a manufacturing case study, Andrea Coombs and Jason Wiggins demonstrate how to find process trends and relationships, monitor your processes, then model for process understanding and optimization.
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DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
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Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
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PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
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AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
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VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
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HeliatekAn automated dashboard helps establish statistical process control in a pilot production environment.
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Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
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SeagateJMP and JMP Pro are an integral part of wide-ranging data analysis techniques, statistical process control, reliability analysis, experimental design and modeling.
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LonzaA customized design of experiments approach optimizes yield in bioreactors.
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NVIDIAManagement helps up-skill the workforce by integrating a free statistical analysis online learning resource.
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Screening and Controlling Manufacturing Processes for Faster Process ImprovementLearn how to quickly focus your limited time and resources on the actions most likely to lead to meaningful process improvement.
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Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
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Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
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Measurement Systems Analysis for Curve DataJMP Pro does an impressive job quickly and simply solving Measurement Systems Analysis with curve data, a complex and relevant problem.
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Gaining Innovation Momentum Through Data AnalyticsIndustry 4.0, big data, data mining and IoT. As the digitization of the manufacturing sector gains momentum, what key things do you need to know about analyzing your manufacturing data?
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Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
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Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
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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.
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Evaluating the Measurement Process: A Better Way to Do Repeatability & Reproducibility StudiesStatistician, author and quality expert Donald J. Wheeler, explains data collection strategy in the context of a basic EMP and gage R&D study.
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Smart Machine Learning for ManufacturersThis paper introduces the 'smart machine learning' framework which unites the need to understand both the unique aspects of the data that is collected and the perspective of the data scientists who oversee its collection.
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Big Data, Pharma 4.0 and Process ModelingHow can you prepare for Industry 4.0? This paper outlines how to improve process knowledge, close the gaps for legacy products and set the foundation for big data use.
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Innovation in the Chemical Industry With Statistics and DOEKevin White shares how his team at Eastman uses cutting-edge methods to improve products and inform decisions.
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Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
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Quality Assurance in the Golden Age of AnalyticsRon Kenett, Chairman of the KPA Group, discusses the role of statisticians in implementing comprehensive quality assurance methods in an increasingly automated, complex industrial environment.
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A Case for Sophisticated Data Analytics in Process-Enabling IndustriesStan Higgins, former CEO of the North East of England Process Industries Cluster, discusses the Industry 4.0 movement and how analytics can help companies demonstrate value capture.
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Uncover the Key Data Necessary to Reduce Your Hidden FactoryExplore new strategies for identifying the activities that are harming your manufacturing processes, while learning how to create a better process that is both robust and repeatable.
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Statistical Engineering: A Holistic Problem-Solving ApproachThe author of Statistical Thinking calls problem solving a strategic imperative and describes the value of statistical engineering.
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Beyond Lean Six SigmaTwo leading quality engineers discuss the importance of adopting a holistic improvement strategy, while acknowledging no one methodology is best for all.
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Applying Quality Engineering Principles to Create Innovative ProductsOLEDWorks Director of Quality and Reliability Engineering explains why statistics is the key to product R&D.
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Reliability Engineering: Modern Methods for Achieving High ReliabilityJoin Dr. Bill Meeker as he briefly reviews the history of the field of reliability engineering, outlines where it’s headed, and discusses both basic and emerging methods to help you achieve high reliability.
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Using Reliability Block Diagrams in System DesignThrough examples based on personal computers and automobile brakes, Dr. Bill Meeker explains how reliability block diagrams can be used to achieve reliability goals for complex, multi-component systems.
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Bayesian Inference in ReliabilityThe data available to make inferences about reliability is often very limited. Bayesian methods provide a formal way to deal with these situations. Learn how in this webinar with Dr. Bill Meeker.
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Accelerated Destructive Degradation AnalysisSometimes product failures don’t occur until after a long period of performance degradation. Learn how degradation analysis lets you make predictions about failure times across a variety of use conditions.
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Probability Plots in Life DistributionFind out how to select the appropriate distribution-specific plotting scale (i.e., normal, Weibull, lognormal) and apply maximum likelihood estimation to extrapolate failure rates into the future.
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Accelerated Life TestingIn what situations can accelerated life testing be useful? How can data transformations simplify the modeling process? What common pitfalls need to be avoided? Find out in this webinar with Dr. Bill Meeker.
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Why the Future of Manufacturing Depends on Statistical Data AnalysisIndustry 4.0, big data, data mining and IoT. As the digitization of the manufacturing sector gains momentum, what key things do you need to know about analyzing your manufacturing data?
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How Industrial Statistics Has (and Hasn’t) ChangedSTATCON CEO says the expectation has changed, but the work hasn’t.
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Exploring Capability AnalysisAll processes are variable to some degree, but how can you be sure your processes are functioning within acceptable parameters?
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How to Add Structure to Your Decision MakingLos Alamos National Lab scientist shares research on objectively considering tradeoffs.
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The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
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Using Statistical Process Controls to Improve and Monitor Your ProcessDiscover how to use one-way analysis, histogram distributions and more. This case study showcases how one ethanol manufacturing plant successfully implemented Statistical Process Control to limit batch-to-batch variance.
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What It Takes to Be an Effective Industrial StatisticianHear from award-winning reliability expert William Q. Meeker.
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Advantages of Bootstrap Forest for Yield Analysis: A Semiconductor Case StudyLearn how semiconductor manufacturers are reducing time to market while keeping quality high.
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Visual Six Sigma: A Case StudySee how three Visual Six Sigma strategies are put in practice to better understand the reasons behind the failure of a pill production line.
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Make Statistical Thinking Your Strategy for Solving ProblemsRoger Hoerl and Ron Snee explain how statistics can provide a strategic perspective for process improvement.
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Traditional and New Quality Techniques for Process ImprovementBrenda Ramírez and José G. Ramírez on ways to gain new insights about processes, products and services.
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Explaining Reliability GrowthLearn about statistical techniques used to improve product and process reliability over time, and see specific examples using JMP software.
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Reliability Demonstration Test PlanningAll you need to know about zero-failure tests with Bill Meeker, professor and quality expert.
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Analysis of Recurrence DataTrack and predict the recurrence of events for units being monitored over time with these helpful tips from Professor Bill Meeker.
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Defective Subpopulation DistributionsWhich is the best ratio based confidence interval: Wald or Likelihood? Watch this tutorial video with Dr. Bill Meeker to find out!
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Accelerated Life Test PlanningWhy are accelerated life tests more efficient than traditional equal-allocation test plans? Find out from quality expert, Dr. Bill Meeker.
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Degradation AnalysisWhy does degradation analysis provide more information than failure-time data? And, how does it provide reliability information with few failures? Find out in this webinar.
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Reliability Estimation Test PlanningHow many units do I need to test? How long do I run the test? If you find yourself asking these questions, this webinar with Bill Meeker is just for you!
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Estimating the Degradation Rate of Photovoltaic Arrays Using a Two-Component Nonlinear ModelBased on only one year of data, Chris Gotwalt, Director of Statistical R&D, predicts the relative power output of solar cells for five years into the future.
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Visual Six Sigma: Making Data Analysis LeanThis paper introduces the idea of "Visual Six Sigma," a practical, pragmatic and yes, visual approach to data analysis and process improvement.
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Amperex Technology LtdIntegrated JMP analytics enable engineers to reduce process variation and optimize production.
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USoundEngineers use JMP to build process knowledge, assess and monitor performance and refine production quality.
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SyngentaSyngenta brings science to the art of agronomy with cutting-edge statistical methods and sustainable technologies
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ColoplastProcess specialists use Six Sigma and DOE to ensure a high quality product.
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ASM InternationalASM utilizes statistical methods companywide to be more effective and efficient.
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SoitecSemiconductor materials provider improves its yield and product quality with JMP.
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W.L. Gore GermanyStatisticians use DOE in JMP to optimize manufacturing processes and products.
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NXPJMP Pro improves solution design and manufacturing, Six Sigma training and process improvement.
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Polar SemiconductorA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
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Dow ChemicalAt Dow Chemical, JMP has become essential for analyzing and presenting data.
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CienaEngineers use analytics to harmonize measurement systems, build process knowledge and maintain quality.
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TellabsTellabs uses JMP to collaborate more efficiently with contract manufacturers.
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Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
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Saint-Gobain NorProA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
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Chalmers University of TechnologyStudents jump-start their careers in industry with coursework in data methods and Six Sigma.
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MurataEngineers apply JMP on-site to improve objective analysis results.
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W.L. Gore & Elixir StringsJMP Elixir Strings’ efforts to help guitarists make beautiful music.
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US Department of Energy National Renewable Energy LaboratoryUS Department of Energy optimizes solar energy systems with JMP.
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WhirlpoolSix Sigma training supports continuous improvement.
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LynredEngineers use JMP Pro to optimize quality and reliability.
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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.
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Daewoong PharmaceuticalA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
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Samson RopeEngineers reimagine one of the oldest technologies in human history: rope.
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Cal Poly Department of Industrial and Manufacturing EngineeringStudents prepare for competitive industry careers by using JMP to learn manufacturing engineering.
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SymriseFermentation specialists use design of experiments to perfect product development.
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CelltrionQuality by Design advances safety, affordability and regulatory accountability.
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University of New HampshireFaculty integrate a free online learning resource into science and engineering course curriculum to better prepare students for industry careers.
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STMicroelectronicsEngineers use JMP to develop smart power technology.
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FMC TechnologiesFMC Technologies uses JMP for text mining to help analysts optimize processes.
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CreeCree uses JMP to pinpoint and eliminate defects in the manufacturing process.
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Roche SwitzerlandRoche provides biosensors that allow health care professionals to get bedside readings of the quality of a patient’s blood.
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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".
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MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
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US SyntheticResearch and process engineers use design of experiments in JMP to get quicker and more reliable results.
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CoherentAt Coherent, lean manufacturing principles and comprehensive data analysis allow the company to compete in a crowded industry.
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Siemens HealthineersQuality engineers optimize manufacturing, testing and performance of an innovative blood-analysis system.
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SynbiCITEStatistical analysis brings discipline to state-of-the-art synthetic biology research.
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BridgestoneAnalytics speeds the R&D process for high-performance tire formulations.
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De Montfort UniversityIndustry experts partner with the university to provide instruction on QbD best practices.
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KodakKodak gets a boost from JMP in its drive for zero-defect performance.
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XaarSix Sigma champions accelerate an analytics transformation.
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SCHOTTSCHOTT uses JMP to automate data access, analysis and visualization.
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Daeduck ElectronicsEngineers work to reduce the scrap budget, shorten experimentation times and extending the benefits of automation.
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PerrigoPerrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing
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Beijing AquariumWater quality engineers cut energy expenditure while furthering the Aquarium's conservation efforts.