Quality Engineering, Reliability and Six Sigma
-
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.
-
Quality Tools for Process Improvement MethodologiesAlisa Hunt-Lowery discusses how understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
-
Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
-
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.
-
Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
-
Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
-
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?
-
Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
-
Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
-
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.
-
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.
-
Statistical Engineering: A Holistic Problem-Solving ApproachThe author of Statistical Thinking calls problem solving a strategic imperative and describes the value of statistical engineering.
-
Applying Quality Engineering Principles to Create Innovative ProductsOLEDWorks Director of Quality and Reliability Engineering explains why statistics is the key to product R&D.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
How Industrial Statistics Has (and Hasn’t) ChangedSTATCON CEO says the expectation has changed, but the work hasn’t.
-
Exploring Capability AnalysisAll processes are variable to some degree, but how can you be sure your processes are functioning within acceptable parameters?
-
How to Add Structure to Your Decision MakingLos Alamos National Lab scientist shares research on objectively considering tradeoffs.
-
The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
-
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.
-
What It Takes to Be an Effective Industrial StatisticianHear from award-winning reliability expert William Q. Meeker.
-
Advantages of Bootstrap Forest for Yield Analysis: A Semiconductor Case StudyLearn how semiconductor manufacturers are reducing time to market while keeping quality high.
-
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.
-
Make Statistical Thinking Your Strategy for Solving ProblemsRoger Hoerl and Ron Snee explain how statistics can provide a strategic perspective for process improvement.
-
Traditional and New Quality Techniques for Process ImprovementBrenda Ramírez and José G. Ramírez on ways to gain new insights about processes, products and services.
-
Reliability Demonstration Test PlanningAll you need to know about zero-failure tests with Bill Meeker, professor and quality expert.
-
Analysis of Recurrence DataTrack and predict the recurrence of events for units being monitored over time with these helpful tips from Professor Bill Meeker.
-
Defective Subpopulation DistributionsWhich is the best ratio based confidence interval: Wald or Likelihood? Watch this tutorial video with Dr. Bill Meeker to find out!
-
Accelerated Life Test PlanningWhy are accelerated life tests more efficient than traditional equal-allocation test plans? Find out from quality expert, Dr. Bill Meeker.
-
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.
-
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!
-
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.