Control Charts simply explained - Statistical process control - Xbar-R Chart, I-MR Chart,...

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In this video, we delve into the fundamentals of Control Charts (Statistical Process Control - SPC), a vital tool in quality control and process management. Learn how to monitor processes, detect variations, and maintain consistent quality over time.

We'll cover:
What Control Charts are and why they are essential.
Different types of Control Charts (Xbar-R Chart, I-MR Chart, p Chart, np Chart, c Chart and u Chart).
How to create and interpret Control Charts.
Real-world examples of using Control Charts in various industries.

► EBOOK

► Control Chart Calculator

0:00 What are Control Charts?
1:04 What is a Xbar-R Chart?
5:05 What is an I-MR Chart?
6:34 What is a np Chart and a p Chart?
9:08 What is a c Chart and a u Chart?
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Комментарии
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That is so nice. Within 10 minutes, had an idea about various Control Charts. Thank you.

xlisgr
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I have been in quality for over 30 years, and in my lifetime, only a few people have been able to explain it as nicely as you did.

Every time I mentored my colleagues, I tried to explain Control Chart methodology similarly to how you explained it.

Kudos!

haroldsimpson
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Thank you so much for explaining this concept better ....

RendzoChabalala
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Please explain about Six Sigma concept also with reference to statistical measures.

xlisgr
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Thank you very much...Are these tests important in medical statistics?!

mohammedelbarbary
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Hello, nice overvieuw video.
In the example of the XBarChart you take 25 data points (each containing 5 samples a day) so in fact the UCL/LCL are based on 5x 25 samples = 125 samples Yes?

But suppose in a laboratory certain analysis runs on one daily run with control standards/samples
... so 1 datapoint/day

1. How many samples (days) would you take to calculate the Mean, StdDev and UCL/LCL ?
Should you take 30 as a minimum (30 is the border between T-distr. vs. Normal distr.) or do you take another statistical limit ?

2. When, in time, there is a clear indication of a shift of the mean (up or down...) how to react in a correct way for recalculation of Mean, StdDev, UCL/LCL etc... ?

brudo