Think Lean !
Think Lean !
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8 Techniques of SMED [ SMED Explained - Part 2 ]
In this series, We unveil the idea behind 'Single Minute Exchange of Dies (SMED), one of the greatest tool for Lean Manufacturing!
Let's go through the 8-techniques of SMED and step by step instructions to use it at our workplace.
Links to related videos:
▶ SMED Explained (Part 1): ua-cam.com/video/8A2T_JMA03M/v-deo.html
Переглядів: 101

Відео

SMED Explained (part 1)
Переглядів 3449 місяців тому
In this series, We unveil the idea behind 'Single Minute Exchange of Dies (SMED), one of the greatest tool for Lean Manufacturing! Let's understand the true purpose of SMED and how to implement it in our organization. Links to related videos: ▶ Value Added Activities: ua-cam.com/video/_aO4TeM3C4w/v-deo.html
Designing your FUTURE STATE - Value Stream Mapping
Переглядів 4,5 тис.11 місяців тому
In this last chapter of the series, We will see how VSM can optimize our production output without any investment. Earlier lessons of this series: ▶ Value Stream Mapping - Introduction: ua-cam.com/video/n0s-oI2TMow/v-deo.html ▶ Value Stream Mapping - Essential Tips: ua-cam.com/video/y0y3KbMO5SA/v-deo.html ▶ Value Stream Mapping - Creating Your First VSM: ua-cam.com/video/ARQwPaxWVSE/v-deo.html ...
The PaceMaker (Process that decides your production rate) - Value Stream Mapping
Переглядів 2,1 тис.Рік тому
In this series, We unveil the power of Value Stream Mapping (VSM), the ultimate tool for Lean Manufacturing! Let's see how a Pacemaker process can change the entire production output of your organization. Earlier lessons of this series: ▶ Value Stream Mapping - Introduction: ua-cam.com/video/n0s-oI2TMow/v-deo.html ▶ Value Stream Mapping - Essential Tips: ua-cam.com/video/y0y3KbMO5SA/v-deo.html ...
Value Stream Mapping - What is a SuperMarket ?
Переглядів 2,9 тис.Рік тому
In this series, We unveil the power of Value Stream Mapping (VSM), the ultimate tool for Lean Manufacturing! Let's see how SuperMarkets use the Lean Principles. Earlier lessons of this series: ▶ Value Stream Mapping - Introduction: ua-cam.com/video/n0s-oI2TMow/v-deo.html ▶ Value Stream Mapping - Essential Tips: ua-cam.com/video/y0y3KbMO5SA/v-deo.html ▶ Value Stream Mapping - Creating Your First...
Value Stream Mapping - Step by Step Guide to creating your first VSM
Переглядів 8 тис.Рік тому
In this series, We unveil the power of Value Stream Mapping (VSM), the ultimate tool for Lean Manufacturing! Let's create our first VSM. Earlier lessons of this series: ▶ Value Stream Mapping - Introduction: ua-cam.com/video/n0s-oI2TMow/v-deo.html ▶ Value Stream Mapping - Essential Tips: ua-cam.com/video/y0y3KbMO5SA/v-deo.html
Value Stream Mapping - Essential Tips
Переглядів 1,5 тис.Рік тому
In this series, We unveil the power of Value Stream Mapping (VSM), the ultimate tool for Lean Manufacturing! Let's go through a few pre-requisites before we make our first VSM. Earlier lessons of this series: ▶ Value Stream Mapping - Introduction: ua-cam.com/video/n0s-oI2TMow/v-deo.html Links to related videos: ▶ Function Vs Process Approach: ua-cam.com/video/Op0oj25GMcM/v-deo.html
Value Stream Mapping - Introduction
Переглядів 2,1 тис.Рік тому
In this series, We unveil the power of Value Stream Mapping (VSM), the ultimate tool for Lean Manufacturing! Let's begin to understand what VSM is and how to implement it in our organization. Links to related videos: ▶ Concept of Inventory: ua-cam.com/video/H4bMK-gkjAU/v-deo.html ▶ Value Added Activities: ua-cam.com/video/_aO4TeM3C4w/v-deo.html
Pareto Charts: The Ultimate Quick & Easy Method
Переглядів 127Рік тому
Make Pareto Charts in minutes!!! The fastest & easiest method to make Pareto Charts, so that you can have more time to spend on problem solving. ▶ Website Link: www.thinklean.in ▶ Learn Pareto Chart: ua-cam.com/video/i8fwSrb2zNQ/v-deo.htmlm51s
Think Lean
Переглядів 658Рік тому
"Lean is a way of thinking, not a list of things to do." - Shigeo Shingo However, too often we become dazzled by the achievements of others and blindly imitate their actions, hoping to reproduce their results. This is not how "lean" works. "Lean" is a mindset and philosophy that focuses on value creation and waste elimination. I am sharing my thoughts on some of the lean principles through this...
7 QC Tools - Part 3 (Cause & Effect Diagram, Scatter Diagram, Graphs & Charts)
Переглядів 879Рік тому
This is the 3rd lesson in 7QC Tools series with detailed explanation of Cause & Effect Diagram, Scatter Diagram, Graphs & Charts and how to make them to analyze the data and to represent it visually. Link for previous lessons: ▶ 7 QC Tools (Part 1): ua-cam.com/video/A2sDTr10xdE/v-deo.html ▶ 7 QC Tools (Part 2): ua-cam.com/video/i8fwSrb2zNQ/v-deo.html
7 QC Tools - Part 2 (Check Sheets, Pareto Charts, Control Charts)
Переглядів 827Рік тому
This is the 2nd lesson in 7QC Tools series with detailed explanation of Check Sheets and Pareto Charts and how to make them to gather the data and to prioritize our tasks. Link for previous lessons: ▶ 7 QC Tools (Part 1): ua-cam.com/video/A2sDTr10xdE/v-deo.html
7 QC Tools - Part 1 (Histogram)
Переглядів 1,8 тис.Рік тому
Introduction to 7 Quality Control Tools and their role in problem solving. Detailed explanation of Histogram and how to make one to study the process distribution. Link to Normal Distribution: ▶ua-cam.com/video/EgFZoO3niXU/v-deo.html
Process Approach and Functional Approach (Video Game Version)
Переглядів 489Рік тому
A brief talk to explain the difference between Process Approach and Functional Approach using examples that are easy to understand.
The Types of Control Charts
Переглядів 2,7 тис.2 роки тому
In this 9th & the Final lesson of the 'Statistical Process Control' series, we will explore the other types of Control Chart (except the X-bar R Chart) and understand the Loss-Function Concept. ▶ 1st Video (Accuracy vs Precision): ua-cam.com/video/YUsVpm5hpak/v-deo.html ▶ 2nd Video (The Need of SPC): ua-cam.com/video/R_vkacwqEKk/v-deo.html ▶ 3rd Video (The Principle of SPC): ua-cam.com/video/dJ...
How to Calculate Control Limits of a Control Chart
Переглядів 8 тис.2 роки тому
How to Calculate Control Limits of a Control Chart
Basics of Control Charts
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Basics of Control Charts
Process Capability & Process Performance
Переглядів 16 тис.2 роки тому
Process Capability & Process Performance
Standard Deviation ( Sigma )
Переглядів 19 тис.2 роки тому
Standard Deviation ( Sigma )
Normal Distribution Curve ( Inverted Bell )
Переглядів 1,5 тис.2 роки тому
Normal Distribution Curve ( Inverted Bell )
The Principle of SPC
Переглядів 2 тис.2 роки тому
The Principle of SPC
The need of Statistical Process Control
Переглядів 2,4 тис.2 роки тому
The need of Statistical Process Control
Accuracy vs Precision
Переглядів 1,5 тис.2 роки тому
Accuracy vs Precision
5S (Part - 4)
Переглядів 2932 роки тому
5S (Part - 4)
5S (Part - 3)
Переглядів 3702 роки тому
5S (Part - 3)
5S (Part - 2)
Переглядів 3832 роки тому
5S (Part - 2)
5S (Part - 1)
Переглядів 6342 роки тому
5S (Part - 1)
Mura, Muri, Muda (3M)
Переглядів 8 тис.2 роки тому
Mura, Muri, Muda (3M)
Genba, Genbutsu, Genjitsu (3G)
Переглядів 3,4 тис.2 роки тому
Genba, Genbutsu, Genjitsu (3G)
7 types of waste (Muda)
Переглядів 4,3 тис.2 роки тому
7 types of waste (Muda)

КОМЕНТАРІ

  • @ganeshravala9961
    @ganeshravala9961 6 днів тому

    Just i am curious about the value 68% between +- sigma. Could you please explain me.

  • @harshalthombre2112
    @harshalthombre2112 16 днів тому

    This was very helpful. Thank you!

  • @sagardaske6901
    @sagardaske6901 Місяць тому

    Very nice

  • @sagardaske6901
    @sagardaske6901 Місяць тому

    Very simplified .Awaesome Sir Thank you

  • @prashanttickoo3885
    @prashanttickoo3885 3 місяці тому

    Amazing explanation

    • @think_lean
      @think_lean 3 місяці тому

      Thank you so much !

  • @VamsiNeethish
    @VamsiNeethish 3 місяці тому

    Where can I get this PPT? Thank you! I am your new subscriber

    • @think_lean
      @think_lean 3 місяці тому

      Thank you for subscribing ! Well, the ppt is in bits and pieces. I've somehow merged together those slides and some other stuffs into this video. And trust me, the ppt or those slides are of no use.

    • @VamsiNeethish
      @VamsiNeethish 3 місяці тому

      @@think_lean how can I contact you? Can I get your email or WhatsApp number?

  • @behzhaohong7162
    @behzhaohong7162 4 місяці тому

    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!

    • @think_lean
      @think_lean 4 місяці тому

      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.🙂

  • @stevereade4858
    @stevereade4858 4 місяці тому

    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.

    • @think_lean
      @think_lean 4 місяці тому

      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. ua-cam.com/video/8A2T_JMA03M/v-deo.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.”

  • @Surajpashte07
    @Surajpashte07 5 місяців тому

    Good explain sir

  • @annaidu583
    @annaidu583 5 місяців тому

    excellent series! Easy to understand, thank you

    • @think_lean
      @think_lean 4 місяці тому

      Glad you like them!

  • @annaidu583
    @annaidu583 5 місяців тому

    AMAZING , BETTER UNDERSTANDING OF QUALITY IAM DEEPLY TOUCHED TO WATCH AGAIN AND AGAIN , VERY MUCH EXPLAINED CLEARLY. SIR.

    • @think_lean
      @think_lean 5 місяців тому

      I'm so glad to hear that. Thank you

  • @abhiadsul6538
    @abhiadsul6538 6 місяців тому

    Nice explanation

  • @MrVijayjp
    @MrVijayjp 7 місяців тому

    I need one clarification, i have not seen Rbar/D2 in your sigma calculation for Cp. Please clarify

    • @think_lean
      @think_lean 6 місяців тому

      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 :)

  • @MrVijayjp
    @MrVijayjp 7 місяців тому

    Super explanation.

  • @newgymmusic
    @newgymmusic 7 місяців тому

    Thanks

    • @think_lean
      @think_lean 7 місяців тому

      It's my pleasure.

  • @foot.balljerseys9097
    @foot.balljerseys9097 7 місяців тому

    Each one of you want to deal with same examples don't know why

  • @comicsshark2265
    @comicsshark2265 9 місяців тому

    даулет нефор

  • @arabic.best-fsa
    @arabic.best-fsa 9 місяців тому

    Great explanation

  • @prostyxi2771
    @prostyxi2771 9 місяців тому

    Very nice video! Better explanation, than my teacher.

    • @think_lean
      @think_lean 9 місяців тому

      Thank you so much for your comment ☺️

  • @Alex_Bai
    @Alex_Bai 10 місяців тому

    thank you for these viodes

  • @marcusmeinefeld
    @marcusmeinefeld 10 місяців тому

    Excellent!

  • @user-lb8jh9qf2w
    @user-lb8jh9qf2w 10 місяців тому

    This was very useful. It helped me when I was in university. Thank you for making the video clip.

  • @mischapeters5204
    @mischapeters5204 10 місяців тому

    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).

    • @think_lean
      @think_lean 10 місяців тому

      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 🙏.

    • @mischapeters5204
      @mischapeters5204 10 місяців тому

      @@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.

    • @think_lean
      @think_lean 10 місяців тому

      @@mischapeters5204 Thank you for correcting me. I think 'chance' is better word than 'likelihood' in this particular case.

  • @mayb9066
    @mayb9066 11 місяців тому

    the ucl n lcl on the first chart seems reverse ady?

    • @think_lean
      @think_lean 11 місяців тому

      You are correct. I didn't noticed that while making the video.. Thanks for pointing it out.

  • @anuragbiswas5707
    @anuragbiswas5707 11 місяців тому

    How are you reducing the lead time in the future state? Please explain in detail with exact values

    • @think_lean
      @think_lean 11 місяців тому

      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. ua-cam.com/play/PLw2beuYPUpb3dk2j1oOBnqD40hc0Zy7NL.html&feature=shared

  • @mathiaskrogsgard2583
    @mathiaskrogsgard2583 11 місяців тому

    My freind Thomas asks if u are from India?

  • @1977zuzka
    @1977zuzka 11 місяців тому

    Perfect explanation! Thank you!

  • @IsaacWork-q7p
    @IsaacWork-q7p Рік тому

    I have tried to understand thi concept for quite a while now. your examples are perfectly explained. Thank you.

    • @think_lean
      @think_lean 11 місяців тому

      Glad to hear that! Thank you for your comment.

  • @Bharat_Mata_Ki_Jai147
    @Bharat_Mata_Ki_Jai147 Рік тому

    Sir Please make videos on Factory physics

  • @Bharat_Mata_Ki_Jai147
    @Bharat_Mata_Ki_Jai147 Рік тому

    Sir. This video is fabulous. I thank you for your contribution. Your explanation made my day amazing

  • @shesharaobiradar6816
    @shesharaobiradar6816 Рік тому

    Cpk and ppk not cleared properly,Can u give some more examples and explanation?

    • @think_lean
      @think_lean Рік тому

      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

  • @eddielord4525
    @eddielord4525 Рік тому

    excellent series! Easy to understand, thank you

  • @parthpanchal1550
    @parthpanchal1550 Рік тому

    Well explained! Thank you for your efforts in making this video. You definitely deserve more than 5.7k view. I'll do my part.

    • @think_lean
      @think_lean Рік тому

      Thank You for your support. Much appreciated 😊

  • @royal6875
    @royal6875 Рік тому

    Promo_SM 😓

  • @WiseHermit-t7q
    @WiseHermit-t7q Рік тому

    thanks for the explanation

  • @vamshikrishna9481
    @vamshikrishna9481 Рік тому

    Waiting I took a course on learn manufacturing but never understood VSM

    • @think_lean
      @think_lean Рік тому

      Value Stream Mapping, Coming soon...

  • @etienneveron9237
    @etienneveron9237 Рік тому

    Really good video, thank you :)

  • @lck2978
    @lck2978 Рік тому

    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.

  • @ptcvijaya
    @ptcvijaya Рік тому

    Excellent explanation! Can you please explain this with sample data where mean, UCL & LCL calculate with formulas?

    • @think_lean
      @think_lean Рік тому

      Thank you for your comment. Please go through the Control Chart part 2 for detailed explanation on calculation of mean, UCL & LCL. ua-cam.com/video/i8fwSrb2zNQ/v-deo.html. I hope this helps.

    • @gangcurtin4731
      @gangcurtin4731 10 місяців тому

      @@think_leandude u just got me a B on my final. Fricking THANK YOUUUU! I was so gonna fail it lol

  • @SalmaShabi-om1sp
    @SalmaShabi-om1sp Рік тому

    You are the best, thank you so much, and we need more of these videos

    • @think_lean
      @think_lean Рік тому

      I'm so glad to help. More lessons will come.

  • @think_lean
    @think_lean Рік тому

    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.

  • @siritornbamroongsilp6901
    @siritornbamroongsilp6901 Рік тому

    thanks a lot

  • @cyprienyoulou560
    @cyprienyoulou560 Рік тому

    Amazing 👋🏾

  • @glendalequiatchon8649
    @glendalequiatchon8649 Рік тому

    Can I use this as training material for lean awareness? thank you

    • @think_lean
      @think_lean Рік тому

      Yes, you can. As a matter of fact, this is why I made these lessons. To create awareness.

  • @likith7739
    @likith7739 Рік тому

    Simplified to the core. Amazing 😍

  • @daltonymd8391
    @daltonymd8391 Рік тому

    by far the best video....

  • @dheerajvarapana1124
    @dheerajvarapana1124 Рік тому

    This is the best video I have seen on process capability video. Thanks a lot.

  • @hugovega3372
    @hugovega3372 Рік тому

    subscribed!

  • @statslikejazz
    @statslikejazz Рік тому

    Really great video! Thank you for sharing

  • @ankitkrishnam
    @ankitkrishnam Рік тому

    Awesome