Control Charts: Keep It Simple
The control chart is at the heart of the very definition of quality. It is central to building, maintaining, and predicting quality into the future. However, control charts today, more often than not, are misused and misunderstood.
Metrics: The Good, the Bad, and the Ugly
This is part three of a three-part series.
Model-Based Definition: A Seven-Point Summary
Annalise Suzuki, director of technology and engagement at software provider Elysium Inc., spoke to Quality Digest about the importance of model-based definitions (MBD) for data quality, validation, and engineering
Reverse-Engineer Your Experiments
Large Image Caption
In designed experiments, not only must you choose appropriate variables, you must also consider sample size.
Everybody wants to design and conduct a great experiment! To find enlightenment by the discovery of the big red X and perhaps a few smaller pink x’s along the way.
Why Simulation Is the Future of Uncertainty Evaluation
In this article I will show that the conventional method for calculating uncertainty is not always reliable.
Why Did Shewhart Place a Premium on Time Order Sequence?
Walter Shewhart, father of statistical process control and creator of the control chart, put a premium on the time order sequence of data.
Beyond the Hype: Machine Learning for Manufacturing Performance
XL Image
Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation.
Which Chart to Use?
Process behavior charts are the interface between your data and your brain. But you have to begin by making a choice about which type of chart to use.
Getting Started with Process Validation Tools
XL Image
Process validation is vital to the success of companies that manufacture pharmaceutical drugs, vaccines, test kits, and a variety of other biological products for people and animals.