Control Charts | 7 QC Tools Hindi | Quality Control Tools | QC Tools | Lean Six Sigma Tools | TQM
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- Опубликовано: 19 июн 2024
- Control Charts | 7 QC Tools Hindi | Quality Control Tools | QC Tools | SPC Statistical Process Control | Lean Six Sigma Tools | TQM Total Quality Management
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A control chart is one of the main tools from the group of 7 basic QC tools or 7 basic quality control tools. A control chart is used in SPC to control the process within control limits and to study the improvements in the process.
Chapters:
00:00 Introduction of Control charts
02:25 What is a Control Chart
03:03 Control chart as a QC Tool
07:45 What are the types of Control Charts
08:33 Control charts for Variables
12:38 Control charts for Attributes
14:36 Mean chart for the average volume of the parts
21:43 Range chart for the average volume of the parts
26:18 P-chart for proportion defectives in a lot
31:07 C-chart for defect count
34:08 Recap
#ControlCharts #MeanChart #RangeChart #PChart, #C_Chart #7qcToolsinHindi #7qctools #quality #leansixsigma #qualitymanagement
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Very lucid explanation...thank you sir...
thanks
Thank you sir. I got a better understanding for control charts
Glad to hear that
Thanks sir for giving clearity for Control charts.
Welcome
Thank u sir for this explanation
Welcome
Very helpful video. Easy for understanding . Thank you sir. 🙏
Thanks and welcome
Great Sir! Thanks very much, respect from Pakistan!
Welcome
Thanks sir for explaining the control chart in details.
Welcome, Keep watching
Excellent lecture sir....Thankyou so much for this 😊
Welcome
Just viewing for knowledge. Was a great help thanks sir foe your so much help, it was really amazing!
Welcome🎉
thanks sir for making such best videos is very useful to understand quality control
Thanks and welcome
Fantabulous show sir.. As always you elaborated so well... Keep smiling and shining
Thank you and welcome
Thanks alot sir
Welcome🎉
Very very nice explanation
Thanks
thank you sir. very well explained. now i can give my exam confidently
All the best
Thank you so much for very good explanation which is very helpful
Welcome🎉
Very much helpful Sir.... 😊😊thank you so much 😇
Welcome and thank you
Fabulous sir .......
It make me really easy to understand the topic
Welcome🎉
Very well explained sir.. Thanks
Thnks and welcome
very helpful video 👍👍thank u so much sir 🙏
You're welcome🎉
Thanks sir it is very informative..
Welcome
Outstanding explained sir ! Thank u very much for this.
Thanks and Welcome
good effort
Welcome🎉
Thanks you sir... well explanation
Welcome
Very very good sir G .
Ma aapka every time abhari rahuga
Thank you and all pleasure of mine
Osm content and explained 🤗🤗
🙏
Best explanation sir.
thanks and welcome
osm contained and way of explanation
thanks and welcome
Fabulous sir!!! Thanku so much 😋😋😋😋
Most welcome 😊 keep watching
very awesome very good
Thanks and welcome🎉
great video sir, helped me alot
Welcome🎉
Great
Thanks
nice tutorial sir
Thanks
Tnkhank you sir
Welcome
thanks a lot sir for such video
Welcome
👏🏻👏🏻👌🏻
🙏
Outstanding 👌👌thnku sir
Most welcome
Dear sir thanks for this video it is very informative and clear my concepts related to control charts.
Sir I have a question, I m using variable charts and often ask by auditors about how you perform trend analysis by using your control and on what reference you have made these limits 2sigma and 3sigma and what would be the acceptance criteria of for data.
Trend can be studied using the uphill or downfall of the curve for a specific time period, 2 sigma limit is mean +/- 2 standard deviation
Very nice. But Pl make a video on shainin tools and doe tools
will try
Thanks sir
Welcome
Very good
Thanks
200th like.
Thanks a lot
Good Job sir 👍
Thanks
Thanks sir👍🙏
Welcome
nice
Thanks
IT WILL HELP ME TO CLEER MY JOB INTERVIEWS.
Hope so
Great👏 keep it up
Thanks and welcome
👍
🙏
good knowlege
Thanks
Today is my exam Thnkuu sir this video it really helps me to understand 🙂☺️☺️
🙏
My exam is coming soon can you share the type of questions
@@sabeenyousuf4871 stream...?
THANKS FOR THE MAKING IT EASY
WELL EXPLAINED SIR BUT EVERY TIME " LCL" SHOULDN'T TAKE ZERO IF CALCULATIONS FOR LOWER CONTROL LIMT BEING NAGATIVE THEN WE CAN TAKE IT AS ZERO.
Valid point and thanks for sharing your valuable input. We can take it 'zero' in case of range and in case of attribute data. But if you want to showcase it on the chart then you can.
👍👍👍👍
🙏
Thank you Sir, Good explanation, I want one confirmation, Which type of Attribute Control chart use (P, Np, C, U Chart ?) when have single relation gauge (Multiple parameter inspect one time).
Let me check, will reply soon, please elaborate more about ur concern...
Since you are inspecting multiple parameters one time there can be one or more defect into it, So you may consider it as a defective unit there by permitting the use of NP chart if the sample size is constant and P chart if the sample size is variable.
Thanks sir it's very important thanks a lot
Welcome🎉
VERY NICE EXPLANATION SIR. BUT CAN U ALSO EXPLAIN IN EXCEL, ONLY ONE OR TWO CHART SIR,
Keep watching, will try, right working on hypothesis testing
Hello Sir,
Plz make Video on I-MR & Xbar S chart
will try.. in my upcoming videos
Well explained sir bt every time LCL shouldn't take zero if calculation for lower control limit being negative then we can take it as zero
For range chart, the minimum difference is zero LCL zero in that case shows this logic... Practically it is not possible but for precision it is a target🎯 to achieve
Xbar ki value kya put krni he (mean chart formula me)
Xbar is average of each individual sample and Xdouble bar is the average of sample averages
Sir video helpful hn buy sir Excel me bna k dheka the na video or jada smjh me atha sb tho slide hn ye
Ok, Thanks
Can u explain EWMA and CUsum chart in hindi/urdu plz. Their comparison and derivation
Wait for sometimes
@@ShakehandwithLife ARL ( average run length) ko b EWMA chart k sath explain kar dena plz
Plz also explain EWMA control chart with ARL in hindi/urdu
Sir why 6 sigma only , why not 2 Sigma or 4 sigma or other sigma values are taken in control charts
how will be available complete book. because i want to buy book.
Follow the link to buy this book
shakehandwithlife.myinstamojo.com/product/439474/7-qc-tools-handbook-a-complete-training-and-reference-guide-with-excel-images-and-commands/
It's ok 😊😐😏
😀
kindly explain why you have added +3 sigma and -3 sigma and called it 6 sigma? is this right?
No
To decide UCL and LCL and the number of observations covered between UCL=+3sigma and LCL=-3sigma.
If you think it is wrong, kindly drop the reason.
It's not right, it should be called as 3sigma only...as it gives 99.73% control ... whereas talking of 6sigma, it gives 99.9996% control
I think when you compare about 3 sigma and 6 sigma quality levels you are not using the same standard parameter for comparison. when When we consider 99.73% short term control with 3 sigma, it is without any mean shift and in the same way 6 sigma should control 99.9999998%(short term control) and not 99.9996%(long term control) as you mentioned. The log term control for 3 sigma is 93.32 %. when we talk about 99.9996% control with 6sigma, a mean shift of 1.5sigma is permitted. So 99.9996% actually corresponds to 4.5 sigma value.
Now coming to the 6 sigma control width mentioned , it is the distance from +3sigma to -3sigma from the mean which is equal to 6 sigma and in the same way ,the the control width is 12 sigma in the case of+/- 6sigma control . when we talk about 6 sigma quality control we always mean long term control which considers a mean shift of 1.5 sigma and 3 sigma quality control which is equivalent to 99.73% is with out any mean shift. When SPC was initially introduced in the early 1920,s achievement of 3 sigma level (99.73%) quality was considered very good. No mean shift was considered in those days and sigma was considered as +/- 1/3 of achievable tolerance.
Where is np chart and u chart sir??
Will create a separate video for that
C chart is control chart
C chart is for count charts for defect count
why we are taking the population Std. Deviation when we are considering only samples??
After calculation of sample mean values of all samples, we now consider the sample mean values as individual population.
How we calculate % between 6 sigma
It is according to chebyshev's theoram states that 1-1/K^2 of the observations will lie within k standard deviation or sigma of the mean.
For bell shaped or normal distribution, we have 68% of the observations with in 1 std. dev. of mean
95% between 2 std. dev. of mean
And approximately all between 3 std. dev. of nean
Which of the following control charts is/are used to study discrete variables?
1. X-bar chart
2. R chart
3. p chart
It is good to use C-Chart
P chart
Plz show in excel
Will do that in near future
Sir Nacl ka kaise bnaye matlab data kaise nikale
Nacl?
Sodium chloride 20 mg/l water uske baad kaise nikale
Please share complete problem on shakehandwithlife@gmail.com
Sir please explain properly because I any one see first time then how can understand
Watch again
@@ShakehandwithLife lol😂😂😂
Videi nhi dikh raha
Set the video quality using gear icon
आपकी आवाज स्पष्ट नहीं आती है
might be some technical problem
10 min ka video 30 min ka banaya hai Apne time wasted
Oops!!!!
Hindi bolte bolte aadhi to English bol rhe ho ...esse acha h ki puri English hi bol lo hum koi aur Hindi wala dekh lete h fir ..kuch bhi yr
🤔
So bad way of explanation like THAKA HUA.
Thanks for giving ur valuable time and feedback
Very very bad u explain
Oops!🙂
Thanks sir
Welcome🎉
Thank you sir
Welcome