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Industrial Problem Solving - Advanced Techniques
Welcome to the Course
Welcome to the Course (9:57)
Meet the Instructor - Chris Butterworth, ASQ MBB, CMQ/OE, CQE, CRE
About the Instructor (1:42)
Cost of Quality
Cost of Quality (5:04)
Why Develop Problem Solving Skills?
The Need for Problem Solving (3:58)
Manufacturing is Rocket Science
Numerous X's for each Y.
Case Study: A hundred dollar part that cost a million!
Getting Started with R and RStudio
Getting Started with R and RStudio (20:17)
Import Your Data to R
Import Data from Clipboard (copy/paste) (2:42)
Import Data from csv File (1:35)
Import Data from Excel (2:37)
Scripts for importing data to R
Creating Basic Plots in R - Histograms, line charts, scatterplots
Introduction to ggplot
Probability Distributions used in Manufacturing
Discrete Probability Distributions
Sampling Distributions (5:16)
Central Limit Theorem
Test Your Changes (what happens when we do this?)
Hypothesis Testing Introduction (10:35)
Testing to see if your process change worked.
Comparing two samples: are they the same or different?
Analysis of Variance (ANOVA)
Risks of Drawing Wrong Conclusions
Dr. Deming's Red Bead Experiment
Looking at Existing Data
Easy and Insightful Plots Anyone Can Do
Simple Linear Regression - what can we learn from a scatterplot?
Multiple Linear Regression - which of the many variables actually matter?
Logistic Regression - when your output is simply pass vs fail.
Case Study: Simple Technique Leads to Astonishing Results
Multi Vari Intro (9:49)
Multi Vari Plot in Excel (3:37)
Generating New Variables
Common Process Patterns and Behaviours
Case Study: Lock out those dials
Variance Components Analysis
Reducing Process Variation
Designing an Experiment
Case Study: Battery Capacity Example
Fractional Factorial Designs
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