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Experimental Strategies for Factor Screening and Process Optimization
Prior to working at Minitab, she worked at The Pennsylvania State University to help students learn the concepts of elementary statistics and the use of Minitab. During this time, Erin became attuned to understand that people come from a wide variety of disciplines, and not everyone will understand a topic using the same delivery or same level of technical communication. When the opportunity arose in 2016 to become a Minitab trainer, Erin was thrilled to continue to share her knowledge of Minitab and statistics in an additional role.
Erin specializes in Minitab macros and has written custom scripts that solve customers’ unique problems, such as automating tasks or creating a new feature. She knows that not everyone is a programmer, so she appreciates Minitab’s command language being just as easy to conquer as navigating its user-interface. She has been a presenter at conferences and webinars to help users get started or improve their macros.
Erin’s goal is to ensure customers feel empowered and determined to complete their projects, because they have a better understanding on a statistical concept and how to use Minitab.
DOE: A Practical Theory Guide for the Non-Statistician
Industry Examples of Binary Logistic Regression
Measure for Measure: Do Both Vendor and Customer Need to Do Inspections?
Maximize the Power of Companion: Monte Carlo Simulation and Process Optimization
Ease of Visualizing Data: Telling the Story with Powerful and Accurate Graphical Output
Mechanical Design Life and Capability from Weibull Failure Analysis
In August 2016 Joel joined Dr Pepper Snapple Group as Director if Rapid Continuous Improvement. Previously, Joel held several positions within Minitab Inc. from 2004 to 2016. During his time at Minitab he worked with leading consultants, trainers, and other third-parties to ensure that they had the statistical tools necessary to make their clients achieve excellence. Joel has served as Chair of the ASQ Statistics Division and Chair of the Lean and Six Sigma World Conference and is the author of the Random Thoughts column in Six Sigma Forum Magazine. He holds a BS in Chemical Engineering from Rose-Hulman Institute of Technology and an MS in Statistics from Virginia Tech.
The Five Y’s: Rethinking the Right Response
Pinch or a Dash? An Attribute Agreement Analysis Classroom Lab
Meet and Exceed Customer Needs Through Design for Six Sigma
Specific Tools to Take You from Volume to Value in Healthcare
Visualizing Your Analysis and the 7 Basic Quality Tools
Using Normal and Non-Normal Tolerance Intervals to Assess Process Performance
One Failure Mode or Two?
Are Your DOE Screening Designs Definitive?
Rich has worked with dozens of organizations directing their Six Sigma Process improvement and Lean Enterprise deployments, training and project management efforts working on hundreds projects. These organizations represent a wide range of industries including defense, energy and consumer products with products varying from highly engineered low volume to high volume consumer products. He led a design team from a Colombia manufacturing firm in designing a state of the art Lean pump manufacturing plant.
In August of 2000 Rich began teaching as a Visiting Instructor in the Management Department of Lehigh University’s College of Business and Economics. He is currently an adjunct instructor at Lehigh and has taught as a guest lecturer in the Six Sigma Minor Program at Penn State University, where he is currently enrolled in the Ph.D. program in Industrial and Manufacturing Engineering. He has presented his graduate research in Supplier Selection at two INFORMS national conferences and was nominated for IIE’s Doctoral Colloquium Award.
Improving Hydrogen Plant Performance by Refining Measurement Detection Confidence
His chemical plant expertise includes simulation modeling and scheduling, inventory management and control of batch managed finished good products, improved information flow in plant construction management and implementation of stable operations in chemicals manufacturing. He has also contributed to the development and engineering of new plant processes using Lean Manufacturing and Six Sigma techniques.
Testing for Differences using Stages: Exploiting Homogeneity in Time-Series Data
Flow Diagrams, Swim Lanes, and Value Stream Maps, Oh My!
Introduction to CART Decision Trees
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