"Lean is a way of thinking, not a list of things to do" - Shigeo Shingo
Now-a-days, we're continuously trying to imitate a number of successful organizations without understanding the basics of their production system. Even worse, we've also started to believe that only a complex production system can be the solution to our customized need.
I choose to disagree.
I strongly believe that basic manufacturing principles are universal and can be implemented by any organization.
My aim is to explain those principles in a super simple way & encourage you to think lean. This is the only way to continually improve quality and eliminate waste.
-Amit Gupta
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Amazing explanation
Where can I get this PPT? Thank you! I am your new subscriber
Greetings from Singapore. Your videos are very educating! Thank you very much for producing and sharing it. Can I also take this opportunity to raise a query? I am confused with when should I use Sigma sample (n-1 for the denominator in the sqrt root), Sigma estimate (R-bar / D2 constant) or Sigma population (n for the denominator in the sqrt root). Could you help to clarify? Thanks!
Thank you so much for your comment. Allow me to address your query. Sigma Population with denominator ‘n’ is used when we’ve data of the entire population (duh). Also, when we only want to quantify the variation in that particular set of data and we don’t want to extrapolate the data for predicting the process behavior. This is rarely a case with us engineers. Our goal is often to predict process behavior using a smaller sample. (Even if we collect data for an entire batch, it effectively represents a sample set of all parts produced or yet to be produced. I hope it makes sense). In sampling method, we use ‘n-1’ as denominator, so that the resulting value of standard deviation will become slightly higher and this ‘higher value’ is now our best guess for the value of standard deviation in the overall population. This is known as Bessel’s correction. (Now, you can ask me why n-1 and why not n-2 or n-3. To be honest, I do not know.) Finally, in my opinion, the R-bar/D2 method is a user-friendly way of calculating standard deviation, especially in Control Charts to spare operators from complex math during chart plotting. I hope it helps.🙂
This analysis is wrong. You failed to consider the processing losses due to downtime, which amount to 48% at Op5. The critical operation, the operation that limits the throughput of the line is Op4 @a nominal 62 sec/pt. However, given the downtime losses, its net is 119 sec/pt., well below market demand/takt time of 100 secs. IF Op 4 is 100% labor, then doubling labor @Op4 may solve the problem. But, since it's assembly, some equipment is probably involved, meaning adding fixed assets/machinery, and upgrading QA to accommodate the extra throughput.
Thank you for your comment, Steve. If you were referring to processing losses as Change Over losses, you’re absolutely correct. I intentionally omitted that aspect in this series, fearing that it would make things too complicated. However, I’m currently working on a separate series dedicated to reducing changeover time. It’s called SMED (Single-Minute Exchange of Die). You can find more information about it here. kzread.info/dash/bejne/anVmtsGDfaSWY7A.html Again, your comment brings me immense joy-it’s heartening to see people who question and seek beyond the status quo rather than merely accepting what’s taught to them.”
Good explain sir
Thanks for liking
excellent series! Easy to understand, thank you
Glad you like them!
AMAZING , BETTER UNDERSTANDING OF QUALITY IAM DEEPLY TOUCHED TO WATCH AGAIN AND AGAIN , VERY MUCH EXPLAINED CLEARLY. SIR.
I'm so glad to hear that. Thank you
Nice explanation
I need one clarification, i have not seen Rbar/D2 in your sigma calculation for Cp. Please clarify
Rbar / D2 is an easier way to estimate the value of Sigma (standard variation), where D2 is a function of n (sample size). I've deliberately skipped this formula since it may become pretty difficult to explain D2 which is a result of extremely difficult mathematical calculations. Just remember, as the sample size increases, the value of D2 increases and the value of standard deviation decreases for the same Rbar. That means with bigger sample size we can have better estimate of Standard Deviation. Coming back to your point, whether you calculate Sigma with Rbar/D2 or using the standard formula, your result will be the same. or most likely to be the same :)
Super explanation.
Thanks
It's my pleasure.
Each one of you want to deal with same examples don't know why
даулет нефор
Great explanation
Very nice video! Better explanation, than my teacher.
Thank you so much for your comment ☺️
thank you for these viodes
Excellent!
This was very useful. It helped me when I was in university. Thank you for making the video clip.
Refering to likelihood while explaining probability is kinda odd. Understanding these differences is crucial in statistical modeling and analysis, as it guides how one interprets data and makes inferences about models or future events. Probability applies to random events and is a forward-looking measure (predicting data given a model), while likelihood is a way of comparing different models or parameters based on observed data (assessing a model given the data).
Dear mischapeters5204, thank you for your comment. And yes, technically you're correct. Probability → prediction (future) Likelihood → assessing (past/present) But will it be inappropriate to say that, "Probability measures the 'likelihood' of a future event based on available information."? Or can you help me find an alternate word (in place of likelihood) so that less experienced people who are new to SPC can also understand what I want to say 🙏.
@@think_lean No, it is certainly not inappropriate, someone who is well versed in the definitions underlying probability and likelihood will understand what you mean. My point is more that you are trying to appeal to an audience that is less familiar with these terms and then you would do better to be strict. I think it would be better to say the following: Probability, in a broader sense, is the chance that something will happen, in this case, because it can also relate to the past.
@@mischapeters5204 Thank you for correcting me. I think 'chance' is better word than 'likelihood' in this particular case.
the ucl n lcl on the first chart seems reverse ady?
You are correct. I didn't noticed that while making the video.. Thanks for pointing it out.
How are you reducing the lead time in the future state? Please explain in detail with exact values
I think you missed the earlier lessons in this series. Perhaps going through this playlist will help you get the answer you're looking for. kzread.info/head/PLw2beuYPUpb3dk2j1oOBnqD40hc0Zy7NL&feature=shared
My freind Thomas asks if u are from India?
100% 😊
Perfect explanation! Thank you!
You're welcome!
I have tried to understand thi concept for quite a while now. your examples are perfectly explained. Thank you.
Glad to hear that! Thank you for your comment.
Sir Please make videos on Factory physics
Sir. This video is fabulous. I thank you for your contribution. Your explanation made my day amazing
Cpk and ppk not cleared properly,Can u give some more examples and explanation?
Think of Cp (Process Capability) as a measurement unit to identify if the process qualifies to make the product. If it doesn't, it's normally an engineer's job to 'IMPROVE' the process by modifying the machine, using different tools/dies or reducing the clearance between moving parts, etc. Once the Cp is qualified, then in the next step Cpk (the process index) is a measurement unit to identify if a process is set at the mean position. If it isn't, like the diameter is on the higher side or the length is on the lower side, then it's normally an operator's job to 'ADJUST' some machine's setting and bring it back to the mean position. Hope I'm able to answer; if you're asking something else, please elaborate a little. For example, what exactly is not clear? -Amit Gupta
excellent series! Easy to understand, thank you
Well explained! Thank you for your efforts in making this video. You definitely deserve more than 5.7k view. I'll do my part.
Thank You for your support. Much appreciated 😊
Promo_SM 😓
thanks for the explanation
Waiting I took a course on learn manufacturing but never understood VSM
Value Stream Mapping, Coming soon...
Really good video, thank you :)
I'm so glad you liked it .
Agree with past comments. Other videos are good, but this one is most simple & straight forward. No extra fluff. The visual is very helpful too.
Excellent explanation! Can you please explain this with sample data where mean, UCL & LCL calculate with formulas?
Thank you for your comment. Please go through the Control Chart part 2 for detailed explanation on calculation of mean, UCL & LCL. kzread.info/dash/bejne/m2ya2bWrkpXgfrQ.html. I hope this helps.
@@think_leandude u just got me a B on my final. Fricking THANK YOUUUU! I was so gonna fail it lol
You are the best, thank you so much, and we need more of these videos
I'm so glad to help. More lessons will come.
Though, I've tried to keep the lessons pretty straight-forward and in simple language. In case, you can share any suggestions to improve the future lessons, it will be highly appreciated.
thanks a lot
Happy to help
Amazing 👋🏾
Can I use this as training material for lean awareness? thank you
Yes, you can. As a matter of fact, this is why I made these lessons. To create awareness.
Simplified to the core. Amazing 😍
by far the best video....
This is the best video I have seen on process capability video. Thanks a lot.
subscribed!
Really great video! Thank you for sharing
My pleasure, Sir.
Awesome
Well explained
Good content. I am expecting more videos like this...