Think Lean !
Think Lean !
  • Видео 33
  • Просмотров 107 763
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): ruclips.net/video/8A2T_JMA03M/видео.html
Просмотров: 98

Видео

SMED Explained (part 1)
Просмотров 3409 месяцев назад
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: ruclips.net/video/_aO4TeM3C4w/видео.html
Designing your FUTURE STATE - Value Stream Mapping
Просмотров 4,4 тыс.11 месяцев назад
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: ruclips.net/video/n0s-oI2TMow/видео.html ▶ Value Stream Mapping - Essential Tips: ruclips.net/video/y0y3KbMO5SA/видео.html ▶ Value Stream Mapping - Creating Your First VSM: ruclips.net/video/ARQwPaxWVSE/видео.ht...
The PaceMaker (Process that decides your production rate) - Value Stream Mapping
Просмотров 2,1 тыс.Год назад
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: ruclips.net/video/n0s-oI2TMow/видео.html ▶ Value Stream Mapping - Essential Tips: ruclips.net/video/y0y3KbMO5SA/видео.htm...
Value Stream Mapping - What is a SuperMarket ?
Просмотров 2,9 тыс.Год назад
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: ruclips.net/video/n0s-oI2TMow/видео.html ▶ Value Stream Mapping - Essential Tips: ruclips.net/video/y0y3KbMO5SA/видео.html ▶ Value Stream Mapping - Creating Your Fir...
Value Stream Mapping - Step by Step Guide to creating your first VSM
Просмотров 8 тыс.Год назад
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: ruclips.net/video/n0s-oI2TMow/видео.html ▶ Value Stream Mapping - Essential Tips: ruclips.net/video/y0y3KbMO5SA/видео.html
Value Stream Mapping - Essential Tips
Просмотров 1,4 тыс.Год назад
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: ruclips.net/video/n0s-oI2TMow/видео.html Links to related videos: ▶ Function Vs Process Approach: ruclips.net/video/Op0oj25GMcM/видео.html
Value Stream Mapping - Introduction
Просмотров 2,1 тыс.Год назад
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: ruclips.net/video/H4bMK-gkjAU/видео.html ▶ Value Added Activities: ruclips.net/video/_aO4TeM3C4w/видео.html
Pareto Charts: The Ultimate Quick & Easy Method
Просмотров 127Год назад
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: ruclips.net/video/i8fwSrb2zNQ/видео.htmlm51s
Think Lean
Просмотров 653Год назад
"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)
Просмотров 875Год назад
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): ruclips.net/video/A2sDTr10xdE/видео.html ▶ 7 QC Tools (Part 2): ruclips.net/video/i8fwSrb2zNQ/видео.html
7 QC Tools - Part 2 (Check Sheets, Pareto Charts, Control Charts)
Просмотров 826Год назад
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): ruclips.net/video/A2sDTr10xdE/видео.html
7 QC Tools - Part 1 (Histogram)
Просмотров 1,8 тыс.Год назад
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: ▶ruclips.net/video/EgFZoO3niXU/видео.html
Process Approach and Functional Approach (Video Game Version)
Просмотров 486Год назад
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
Просмотров 2,7 тыс.2 года назад
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): ruclips.net/video/YUsVpm5hpak/видео.html ▶ 2nd Video (The Need of SPC): ruclips.net/video/R_vkacwqEKk/видео.html ▶ 3rd Video (The Principle of SPC): ruclips.net/video...
How to Calculate Control Limits of a Control Chart
Просмотров 8 тыс.2 года назад
How to Calculate Control Limits of a Control Chart
Basics of Control Charts
Просмотров 7 тыс.2 года назад
Basics of Control Charts
Process Capability & Process Performance
Просмотров 16 тыс.2 года назад
Process Capability & Process Performance
Standard Deviation ( Sigma )
Просмотров 19 тыс.2 года назад
Standard Deviation ( Sigma )
Normal Distribution Curve ( Inverted Bell )
Просмотров 1,5 тыс.2 года назад
Normal Distribution Curve ( Inverted Bell )
The Principle of SPC
Просмотров 2 тыс.2 года назад
The Principle of SPC
The need of Statistical Process Control
Просмотров 2,4 тыс.2 года назад
The need of Statistical Process Control
Accuracy vs Precision
Просмотров 1,5 тыс.2 года назад
Accuracy vs Precision
5S (Part - 4)
Просмотров 2932 года назад
5S (Part - 4)
5S (Part - 3)
Просмотров 3682 года назад
5S (Part - 3)
5S (Part - 2)
Просмотров 3832 года назад
5S (Part - 2)
5S (Part - 1)
Просмотров 6342 года назад
5S (Part - 1)
Mura, Muri, Muda (3M)
Просмотров 8 тыс.2 года назад
Mura, Muri, Muda (3M)
Genba, Genbutsu, Genjitsu (3G)
Просмотров 3,4 тыс.2 года назад
Genba, Genbutsu, Genjitsu (3G)
7 types of waste (Muda)
Просмотров 4,2 тыс.2 года назад
7 types of waste (Muda)

Комментарии

  • @ganeshravala9961
    @ganeshravala9961 2 дня назад

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

  • @harshalthombre2112
    @harshalthombre2112 13 дней назад

    This was very helpful. Thank you!

  • @sagardaske6901
    @sagardaske6901 Месяц назад

    Very nice

  • @sagardaske6901
    @sagardaske6901 Месяц назад

    Very simplified .Awaesome Sir Thank you

  • @prashanttickoo3885
    @prashanttickoo3885 3 месяца назад

    Amazing explanation

    • @think_lean
      @think_lean 3 месяца назад

      Thank you so much !

  • @VamsiNeethish
    @VamsiNeethish 3 месяца назад

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

    • @think_lean
      @think_lean 3 месяца назад

      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 месяца назад

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

  • @behzhaohong7162
    @behzhaohong7162 4 месяца назад

    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 месяца назад

      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 месяца назад

    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 месяца назад

      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. ruclips.net/video/8A2T_JMA03M/видео.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 месяцев назад

    Good explain sir

    • @think_lean
      @think_lean 4 месяца назад

      Thanks for liking

  • @annaidu583
    @annaidu583 5 месяцев назад

    excellent series! Easy to understand, thank you

    • @think_lean
      @think_lean 4 месяца назад

      Glad you like them!

  • @annaidu583
    @annaidu583 5 месяцев назад

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

    • @think_lean
      @think_lean 5 месяцев назад

      I'm so glad to hear that. Thank you

  • @abhiadsul6538
    @abhiadsul6538 6 месяцев назад

    Nice explanation

  • @MrVijayjp
    @MrVijayjp 6 месяцев назад

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

    • @think_lean
      @think_lean 6 месяцев назад

      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 6 месяцев назад

    Super explanation.

  • @newgymmusic
    @newgymmusic 7 месяцев назад

    Thanks

    • @think_lean
      @think_lean 7 месяцев назад

      It's my pleasure.

  • @foot.balljerseys9097
    @foot.balljerseys9097 7 месяцев назад

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

  • @comicsshark2265
    @comicsshark2265 9 месяцев назад

    даулет нефор

  • @arabic.best-fsa
    @arabic.best-fsa 9 месяцев назад

    Great explanation

  • @prostyxi2771
    @prostyxi2771 9 месяцев назад

    Very nice video! Better explanation, than my teacher.

    • @think_lean
      @think_lean 9 месяцев назад

      Thank you so much for your comment ☺️

  • @Alex_Bai
    @Alex_Bai 9 месяцев назад

    thank you for these viodes

  • @marcusmeinefeld
    @marcusmeinefeld 10 месяцев назад

    Excellent!

  • @user-lb8jh9qf2w
    @user-lb8jh9qf2w 10 месяцев назад

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

  • @mischapeters5204
    @mischapeters5204 10 месяцев назад

    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 месяцев назад

      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 месяцев назад

      @@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 месяцев назад

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

  • @mayb9066
    @mayb9066 11 месяцев назад

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

    • @think_lean
      @think_lean 11 месяцев назад

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

  • @anuragbiswas5707
    @anuragbiswas5707 11 месяцев назад

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

    • @think_lean
      @think_lean 11 месяцев назад

      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. ruclips.net/p/PLw2beuYPUpb3dk2j1oOBnqD40hc0Zy7NL&feature=shared

  • @mathiaskrogsgard2583
    @mathiaskrogsgard2583 11 месяцев назад

    My freind Thomas asks if u are from India?

  • @1977zuzka
    @1977zuzka 11 месяцев назад

    Perfect explanation! Thank you!

    • @think_lean
      @think_lean 11 месяцев назад

      You're welcome!

  • @IsaacWork-q7p
    @IsaacWork-q7p 11 месяцев назад

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

    • @think_lean
      @think_lean 11 месяцев назад

      Glad to hear that! Thank you for your comment.

  • @Bharat_Mata_Ki_Jai147
    @Bharat_Mata_Ki_Jai147 Год назад

    Sir Please make videos on Factory physics

  • @Bharat_Mata_Ki_Jai147
    @Bharat_Mata_Ki_Jai147 Год назад

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

  • @shesharaobiradar6816
    @shesharaobiradar6816 Год назад

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

    • @think_lean
      @think_lean Год назад

      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 Год назад

    excellent series! Easy to understand, thank you

  • @parthpanchal1550
    @parthpanchal1550 Год назад

    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 Год назад

      Thank You for your support. Much appreciated 😊

  • @royal6875
    @royal6875 Год назад

    Promo_SM 😓

  • @WiseHermit-t7q
    @WiseHermit-t7q Год назад

    thanks for the explanation

  • @vamshikrishna9481
    @vamshikrishna9481 Год назад

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

    • @think_lean
      @think_lean Год назад

      Value Stream Mapping, Coming soon...

  • @etienneveron9237
    @etienneveron9237 Год назад

    Really good video, thank you :)

    • @think_lean
      @think_lean Год назад

      I'm so glad you liked it .

  • @lck2978
    @lck2978 Год назад

    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 Год назад

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

    • @think_lean
      @think_lean Год назад

      Thank you for your comment. Please go through the Control Chart part 2 for detailed explanation on calculation of mean, UCL & LCL. ruclips.net/video/i8fwSrb2zNQ/видео.html. I hope this helps.

    • @gangcurtin4731
      @gangcurtin4731 10 месяцев назад

      @@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 Год назад

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

    • @think_lean
      @think_lean Год назад

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

  • @think_lean
    @think_lean Год назад

    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 Год назад

    thanks a lot

  • @cyprienyoulou560
    @cyprienyoulou560 Год назад

    Amazing 👋🏾

  • @glendalequiatchon8649
    @glendalequiatchon8649 Год назад

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

    • @think_lean
      @think_lean Год назад

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

  • @likith7739
    @likith7739 Год назад

    Simplified to the core. Amazing 😍

  • @daltonymd8391
    @daltonymd8391 Год назад

    by far the best video....

  • @dheerajvarapana1124
    @dheerajvarapana1124 Год назад

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

  • @hugovega3372
    @hugovega3372 Год назад

    subscribed!

  • @statslikejazz
    @statslikejazz Год назад

    Really great video! Thank you for sharing

  • @ankitkrishnam
    @ankitkrishnam Год назад

    Awesome