High-Tech Manufacturing

• Statistically Speaking Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
• Customer Story VishayA customized analytics workflow in JMP reduces unutilized engineering talent and saves money.
• 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.
• Customer Story NVIDIAManagement helps up-skill the workforce by integrating a free statistical analysis online learning resource.
• Article Building analytics communities across the enterpriseAlex Pamatat explains how NXP Semiconductors empowers its people to use analytics throughout their organization.
• Statistically Speaking Make dashboards an essential part of the science and engineering workflowTips on getting from data to decision quickly from NXP, SAS and Practical Reporting
• 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 Applying machine learning to the right problems Speakers from Procter & Gamble and TEL Singapore on machine learning and automation
• 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.
• Technically Speaking Predicting Product Reliability: A Case StudyExplore core reliability analysis techniques and best practices by walking through a case study based on hard drive reliability.
• Statistically Speaking Lead your organization to analytic excellenceHow P&G, Intel Corporation and Seagate Technology embed analytics throughout the organization
• 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 Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
• 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 Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
• Statistically Speaking Does your organization have a strategy for building analytic excellence?Learn from Haldor-Topsøe, Telefónica and other data-driven organizations
• 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 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 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.
• 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 What Every Engineering Manager Wants You to KnowProblem Solving for New Engineers author Melisa Buie talks about the critical concepts needed to solve problems.
• 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!
• White Paper Statistical Intervals: Confidence, Prediction, EnclosureThis paper uses a manufacturing example to describe the differences between confidence, prediction and tolerance intervals.
• Customer Story M VenturesEntrepreneurs prove technology readiness to investors with the help of design of experiments.
• Customer Story ASM InternationalASM utilizes statistical methods companywide to be more effective and efficient.
• Customer Story MurataEngineers apply JMP on-site to improve objective analysis results.
• Customer Story University of OregonAn innovative master's program propels young scientists to industry careers.
• Customer Story USoundEngineers use JMP to build process knowledge, assess and monitor performance and refine production quality.
• Customer Story Daeduck ElectronicsEngineers work to reduce the scrap budget, shorten experimentation times and extending the benefits of automation.
• Customer Story LynredEngineers use JMP Pro to optimize quality and reliability.
• Customer Story CoherentAt Coherent, lean manufacturing principles and comprehensive data analysis allow the company to compete in a crowded industry.
• Customer Story STMicroelectronicsEngineers use JMP to develop smart power technology.
• Customer Story SoitecSemiconductor materials provider improves its yield and product quality with JMP.
• Customer Story SK HynixA semiconductor giant creates efficiencies in technological development through machine learning.
• Customer Story NXPJMP Pro improves solution design and manufacturing, Six Sigma training and process improvement.
• Customer Story Polar SemiconductorA quality control team uses JMP to identify the root cause of a critical manufacturing issue.