Industrial Manufacturing

• Success Story PirelliThe consolidation of data workflows into a single, customized platform accelerates process innovation.
• Success Story TimkenSteelHow TimkenSteel used Industry 4.0 ideas to revolutionize procurement, supply chains and inventory management.
• Interview Siemens HealthineersLevannia Lildhar on data literacy and her evolution from product engineering to data science.
• Interview W. L. Gore & AssociatesKira Alhorn on how Gore derives business value from working with JMP Development.
• Interview HUBER+SUHNERWhy ‘smart factory’ and ‘digitization’ mean little without the democratization of statistical thinking.
• Interview PCC StructuralsProcess Control Manager Steve Hampton on transitioning from Minitab to JMP.
• Interview W. L. Gore & AssociatesStatistician John Szarka on JMP Pro and joining the JMP Early Adopter program.
• Customer Story Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
• Driving Success with JMP Accelerating R&D for the Autonomous and Electric Vehicles IndustryJMP provides researchers in the Autonomous and Electric Vehicles Industry strategic advantages like improved productivity, higher quality, reduced time to market and continuous process improvement.
• Interview HexionDan Fortune of Hexion on the symbiosis of chemistry and statistics, transitioning from Excel and finding inspiration at Discovery Summit.
• Customer Story MarelliThe consolidation of big data management, analysis, data controls, prevention and prediction into a single workflow accelerates innovation.
• Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
• Book Chapter Achieving Product ReliabilityIn this chapter from the book Achieving Product Reliability, Bill Meeker, Necip Doganaksoy and Gerald Hahn introduce us to the role of statistics plays in reliability assurance.
• 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
• On-Demand Webinar 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.
• Statistically Speaking What scientists and engineers can (and should) do with text dataText analytics advice from experts at the FDA, P&G and 1440 Consulting
• Statistically Speaking Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
• Customer Story DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
• Statistically Speaking Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
• Statistically Speaking The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• Customer Story XaarSix Sigma champions accelerate an analytics transformation.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• 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
• Statistically Speaking Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
• Statistically Speaking Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
• Statistically Speaking Are big data and machine learning methods enough?Hear real-world examples about machine learning and AI from W.L. Gore, SAS and the author of Dark Data
• Technically Speaking 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.
• 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 Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
• Statistically Speaking Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
• White Paper 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.
• White Paper Improving Processes with Statistical ModelsHow, when and where do I apply statistical modeling to a problem? Find out in these two real-world case studies.
• 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.
• Article Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
• 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.
• 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.
• White Paper 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.
• White Paper 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.
• Analytically Speaking 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.
• Article Mixed Models: The Flexible Solution For Correlated DataWhy are mixed models at the center of so many analyses? Russ Wolfinger explains in these seven diverse case studies.
• Analytically Speaking Statistical Engineering: A Holistic Problem-Solving ApproachThe author of Statistical Thinking calls problem solving a strategic imperative and describes the value of statistical engineering.
• White Paper Advantages of Bootstrap Forest for Yield AnalysisMaintain a high level of quality and control (in less time) with the bootstrap forest method. Here’s how!
• Analytically Speaking Make Statistical Thinking Your Strategy for Solving ProblemsRoger Hoerl and Ron Snee explain how statistics can provide a strategic perspective for process improvement.
• Analytically Speaking Traditional and New Quality Techniques for Process ImprovementBrenda Ramírez and José G. Ramírez on ways to gain new insights about processes, products and services.
• White Paper How R&D Labs Can Learn More From Their Positive ControlsThe ultimate goal is to build models that predict a future that can be precisely reproduced by anyone,at any time So, how can two people get different results despite using the same equipment and protocols? Find out.
• White Paper Statistical Intervals: Confidence, Prediction, EnclosureThis paper uses a manufacturing example to describe the differences between confidence, prediction and tolerance intervals.
• Customer Story Sungkyunkwan UniversityResearchers use JMP to craft tailor-made machine learning applications for industry client, POSCO.
• Customer Story W.L. Gore GermanyStatisticians use DOE in JMP to optimize manufacturing processes and products.
• Customer Story Oshkosh CorporationEngineers revolutionize customer support systems with text analytics.
• Customer Story AllnexText exploration helps researchers gain business insight from a vast quantity of patent data.
• Customer Story Samson RopeEngineers reimagine one of the oldest technologies in human history: rope.
• Customer Story SymriseFermentation specialists use design of experiments to perfect product development.
• Customer Story W.L. Gore JapanW.L. Gore Japan improves process efficiency by adopting a statistics-driven operational approach.
• Customer Story US SyntheticResearch and process engineers use design of experiments in JMP to get quicker and more reliable results.
• Customer Story BridgestoneAnalytics speeds the R&D process for high-performance tire formulations.
• Customer Story Saint-Gobain NorProA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
• Customer Story AtotechEngineers use DOE to respond to the demands of a fast-paced industry.
• Customer Story CienaEngineers use analytics to harmonize measurement systems, build process knowledge and maintain quality.
• Customer Story Diebold NixdorfBusiness analysts take a proactive approach to optimizing the customer experience.
• Customer Story LynredEngineers use JMP Pro to optimize quality and reliability.
• Customer Story Amperex Technology LtdIntegrated JMP analytics enable engineers to reduce process variation and optimize production.
• Abstract HUBER+SUHNERUsing JMP scripts to streamline manufacturing analyses.
• Abstract AutolivCreating automated systems for data and analysis.
• Abstract BundesdruckereiLightening bandwidth load with data pre-processing.