Control Chart : Detailed History, All Concepts & Nelson Rules
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- เผยแพร่เมื่อ 29 มิ.ย. 2024
- Get Clarity Control Chart and SPC Tools With Practical Examples at vijaysabale.co/spctools.
Hello Friends,
In the video, you will learn the basics of a control chart. A control Chart is a very important concept/tool and is used everywhere in any kind of process to study how a process changes over time.
This video consists of the following topics:
✅ History of Control chart
✅ What is a Control chart and its elements
✅ Variation and its types
✅ What actions should we take in case of COMMON and SPECIAL Cause variations
✅ NELSON RULES to identify the presence of Special causes and
✅ Which test should you select to identify the presence of a Special cause and
✅ Some other things in the 1st part of the video on CONTROL CHART.
I am sure, you will like it.
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0:00 History of Control chart
1:54 What are a Control chart and its elements
2:31 When to use Control Chart
4:57 Variation and its types
6:35 What actions should we take in case of COMMON and SPECIAL Cause variations
7:13 NELSON RULES to identify the presence of Special causes and
10:22 Which test should you select to identify the presence of a Special cause
And finally, thank you for watching…
#controlchart #controlchartexample #controlcharttypes #controlchartselection #minitabtutorial #7qctools #qctools #StatisticalProcessControl #spc #sixsigma #leansixsigma
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from now on, I will search Learn and apply when I am looking for a video lesson. you are really good at this :)
That's great!
Thank you so much for your most valuable comments and appreciation!😊🙏
I am your fan. Perfect explanation as required. Now I can easily remember the 8 rules of Nelson.. thanks a ton.
+Abhijeet Kulshreshtha
Thank you so much for your valuable comments. It values for me a lot.
Perfect and simple explanation of the concepts, thank you very much for this video!!
Thank you so much for your valuable comments..
Please share it with your friends and colleagues..
This is a beautifully clear and concise explanation. Well done!
Thank you for your valuable comments...
I find it is common for people to incorrectly calculate standard deviation. I see a lot of videos that do not point out the difference between overall standard deviation and the estimated short term standard deviation (used for control charts) why the distinction is important. Because of this I think too many people are getting the impression that you just take the overall standard deviation of all the data points and use that to find control limits.
Great job, thanks!
Thank you so much for your valuable comments and appreciation!
Very informative and useful to pharma industry.keep me updated.
Thank you for your valuable comments.
Easily understandable thanks
Thank you so much for your valuable comments and appreciation ☺🙏
It was perfectly explained. Very good video helped me get a quick recall on control charts
Thank you so much for your valuable comments and appreciation!
Excellent, brilliant
Thank you for your valuable comments...
A very big thanks to you for clearing my doubt. Now i understood 8 rules of Nelson thanks to you.
Thank you so much for your valuable comments..
Great thank you SO MUCH😀
Thank you for your valuable comments...
You are great teacher, bravo
Thank you so much for your valuable comments.
Please share it with your friends and colleagues.
I'm actually searching for normality assumption in control chart, but this video does actually help me to understand more about control chart.
Thank you for your valuable comments. It's there @7:57, still if you want something else, can you please elaborate so that I can help you?
@@learnandapply would you mind explaining about robust control chart?
nice , simple and easy to understand....fine...
Thank you for your valuable comments.
Please share it with your friends and colleagues.
Excellent, thanks
Thank you for your valuable comments and appreciation! 🙏😊
Superb...
I have seen your vedio just now for the first time. Found extremely informative and useful.. I hope you are still making such useful vedio...
Sure. Thank you so much for your valuable comments and appreciation!
This is really a useful message
Thank you so much sir for your valuable comments and appreciation 🙏🙏
Thank you teacher 💓
Thank you for your valuable and positive comments always 🙏🙏
Thank you very much
Thank you for your valuable comments and appreciation! 🙏😊
Thank You... Million Time
Thank you so much for your valuable comments.
Nice and easy to understand
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Please share it with your friends and colleagues..
Thanks sir.
Thank you for your valuable comments and appreciation! 🙏😊
The explanation of ctrled variation via the "dominant hand" example is bang on. If and when possible,a live industry example post a concept or any organization that has used the concepts that helped it in decision making process would be helpful Sir.
+Atrayee Samal
Thank you so much for your valuable comments. Definitely I will try to give practical industrial examples in my future videos.
Very informative, useful to pharma fellows. Keep me updated
Thank you so much for your valuable comments.
thanks!!
Thank you for your valuable comments..
You are amazing! many thanks
Thank you so much for your valuable comments.
In case of control charts C and Control chart P ,Control limits change with the number of items in the subgroup (subgroup size)
❖ Larger Subgroup - narrow control limits. Why ?
❖ Smaller Subgroup - wider control limits. Why ?
Can you please explain . Thanks
In case of Attribute Control Charts, the control limits are calculated based on their mean (u bar or p bar) and subgroup size. Please consider it as a combination of both.
How you did the editing work? The hand with pen??
Your video is so informative and knowledgeable. Thank you so much.
Could you please tell all 8 rules are compulsory or first 4 rules are enough.
Thank you so much for your valuable comments and appreciation!
The First 4 rules are enough, but you can use anyone from the last 4 in addition to these first 4, depending on the process and reason for which you are going to use it.
Many thanks for such a great introduction.
May I know if control chart is the same as run chart or not?
+Mazen Al-Sakkaf
Thank you so much for your valuable comments.
Run chart is the only graphical representation of data to know if any particular trend is there in the data, whereas Control chart is in much detailed helping to find out assignable cause immediately and correct it.
LEARN & APPLY Many thanks for your answer and time
NICE VIDIO THANKN U
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Awesome. Which control chart should be used to control how long it takes for employees to respond to a customer after then customer emails an employee for the first time?
Thank you for your valuable comments.
Please use I-MR chart in this case.
Is example of test 8(chart) correct? Please take a look.
Thanks!!
Rajesh Soni
Thank you Rajesh for your valuable comments. You are right.
Explanation is correct, but graph need to change.
Thanks a lot....how i will get D3 n D4 value plz explain
You will get that from constant tables for Control Charts.
Sorry not sure if I have asked this question on any of your other videos , But since Nelson's rules (especially 4 and beyond ) are based on Standard Deviation they are not applicable to Control Charts like C , NP , P etc which do not use UCL and LCL based on standard deviation values . would that be a correct statement ?
By the way a very well explained video - thanks
Thank you for the valuable comments and appreciation!
Yes, the statement is correct. For Variable control charts, to calculate the control limits we are using Mean and Standard Deviation (or Range).
Steps 5 to 8 are used when an early warning is desired in the case of a variable control chart and that can be tested with the help of nos. of standard deviation.
For the attribute control chart, the calculation of the control limits was based on Mean (Averages).
@@learnandapply thanks for clarifying
Sir ,
Please correct me if my understanding is wrong.
Control chart generate UCL & and LCL based on data or sub group data which gives process variation from this we eliminate the error in process with repect to charactertics
Cp and cpk are based on USL & LSL
Which gives process variation with respect 2 target line
Both method will provide normal distribution curve, am i right.
Thank in advance.
Thank you for your valuable comments. The 1st part of your explanation is correct. But, the last sentence about normal distribution is not correct.
You can calculate process capability for Non-normal process also.
can I get the sample dataset or any sample pbix file for applying control chart?
Hi Kavita, you can go for the detailed course on SPC, where you will get entire details including data files for all control charts.
How to use control chart for die control process. (Dimension will increase over the time)
Thank you for your valuable comments.
If dimensions are varying in sizes, you can use proportion of them w.r.t. designed or expected dimensions at that instant and can plot it.
@@learnandapply thank you sir
Pls try to put eng sub in your videos
As as a foreigner i can't catch up all the words correctly
Sure, thank you so much for your valuable suggestions!
I am so sorry for any misunderstanding
I mean myself by the the word (foreigner) cuz my language is Arabic so i can't easily catch the whole video .sorry again
@LEARN&APPlY
It's ok, I can understand.
It's a genuine concern. I will add subtitles to the videos.
Thank you once again for your valuable suggestion 😊
Added subtitles to this video.
I truly admire the way you explain and deliver the information and knowledge to us.
Is it possible if I had your whatsapp number or telegram or any source of contact, in case I have some questions.
Thanks
Thank you for your valuable comments and appreciation!
You can connect to the Facebook group named "LEARN & APPLY" for communication and Q&A.