In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).

The purpose of control charting is to detect significant process changes when they occur.
One important consideration in the selection and design of control charts (that is often overlooked) is the determination of an appropriate sample size.
A sample size should be selected that will align the statistical properties of the control chart with what are practically significant changes.
That is, effective control charts will detect process changes that have a practical significance while minimizing signals resulting from smaller changes of minimal concern.
In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).
The factors to be considered when determining the sample size and examples of an appropriate sample size for a typical application are presented.
The relationship between sample size and sampling frequency is also discussed.
Finally, the use of OC curves to assess the risks of undetected process changes for a given sample size is presented.
Webinar Topics:
This Accendo Reliability webinar was originally broadcast live on 21 May 2014.
To view the recorded video and slides, visit the webinar page.
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In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).
Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance.
Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next.
Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes.
if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar.
You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them.
A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like.
Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable.
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