Industrial Manufacturing

• 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.
• 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 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 Siemens HealthineersLevannia Lildhar on data literacy and her evolution from product engineering to data science.
• 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.
• 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.
• 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
• 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
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• 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 Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
• 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 The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
• Statistically Speaking Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
• Article Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
• 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 BridgestoneAnalytics speeds the R&D process for high-performance tire formulations.
• Customer Story Oshkosh CorporationEngineers revolutionize customer support systems with text analytics.
• Customer Story W.L. Gore JapanW.L. Gore Japan improves process efficiency by adopting a statistics-driven operational approach.
• Customer Story Amperex Technology LtdIntegrated JMP analytics enable engineers to reduce process variation and optimize production.
• Customer Story SCHOTTSCHOTT uses JMP to automate data access, analysis and visualization.
• Customer Story AllnexText exploration helps researchers gain business insight from a vast quantity of patent data.
• Customer Story SymriseFermentation specialists use design of experiments to perfect product development.
• Customer Story Sungkyunkwan UniversityResearchers use JMP to craft tailor-made machine learning applications for industry client, POSCO.
• Customer Story Samson RopeEngineers reimagine one of the oldest technologies in human history: rope.
• Customer Story W.L. Gore GermanyStatisticians use DOE in JMP to optimize manufacturing processes and products.
• Abstract BundesdruckereiLightening bandwidth load with data pre-processing.
• Abstract HUBER+SUHNERUsing JMP scripts to streamline manufacturing analyses.
• Customer Story US SyntheticResearch and process engineers use design of experiments in JMP to get quicker and more reliable results.