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Beyond the Statistics: Implementing the New VDA AIAG SPC Manual
The volume of manufacturing data has grown exponentially since Walter Shewhart’s time
Multivariate Charts
When you see how they work, you’ll see why they don’t work
Hazardous Ideas About Charts for Individual Values
Can statistics really be as easy as an XmR chart?
Visualizing Weibull Distribution Parameters Confidence Intervals
Using Excel to create a likelihood contour plot
Exponentially Weighted Moving Average Charts
Work harder, do less
Some Hazardous Ideas
And why they are wrong
When Things Go Wrong
What happens next
The Expanding Role of Design of Experiments in Modern Manufacturing
Operational excellence as a strategic growth imperative
The Problem With Sigma Levels
They do not mean what they are thought to mean
Making Sense of Observational Data
3 approaches with different results
Capability and the Pooled Variance Statistic
Pooled variance doesn’t always give optimum results in every technique
Find the Signals by Filtering Out the Noise
The foundation of modern statistics
But the Limits Are Too Wide!
What to do when the XmR chart doesn’t seem to work
The Recalibration Secret
Unneeded adjustments always make things worse
Tips on Adopting 3D Scanning and Automation
3D scanning automates every step of the manufacturing process
Different Answers to a Common Question
Data have no meaning apart from their context
Healthy Aging and Retirement
As populations age and lifespans increase, retirement systems, healthcare, and financial planning must adapt
The Law of Large Numbers and Big Data
The assumption behind big data techniques
Accelerating Hardware Development to Improve National Security and Innovation
For engineering teams, sensor data points are hugely valuable—if they can make sense of them
Why Forcing Women Back to the Office Will Cost Us Millions
Discrimination is an ongoing risk to organizations

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