Process Capability Analysis: Cp, Cpk, Sigma Level

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  • Опубліковано 3 жов 2023
  • Dear friends, we are happy to release this video on Process Capability. this is our 93rd video! In this video, Hemant Urdhwareshe, Fellow of ASQ, explains the basic concepts of process capability indices Cp and Cpk with an illustration example. Hemant has also explained how to validate whether the data is normally distributed with histogram and normal probability plotting. Hemant has further explained the interpretation of the results of study and suggested improvement actions.
    Friends, I had posted this video earlier. I am posting this revised version to correct some typo errors. Apologise for this!

КОМЕНТАРІ • 8

  • @BNT05
    @BNT05 9 днів тому

    Thank you Sir for sharing your knowledge and experience for free. Be blessed. 👋
    Are your datafiles have the solutions in place?

  • @mishras.k.2896
    @mishras.k.2896 4 місяці тому +2

    Nice

  • @4321blastof
    @4321blastof 3 місяці тому

    Shouldn't Cpk be calculated using sigma estimator instead of standard deviation?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  3 місяці тому

      Standard Deviation can be for sample or population. In this particular case, standard deviation is calculated based on 250 data points and therefore can be practically considered as population standard deviation, If control charts are use and process is stable, the standard deviation can be calculated using the control chart, but then it is considered as 'within' subgroup variation and represents the random portion of the variation.

  • @user-vd5lk7wy5x
    @user-vd5lk7wy5x 9 місяців тому

    How out of spec% calculated?

    • @instituteofqualityandrelia7902
      @instituteofqualityandrelia7902  9 місяців тому +1

      It can be done on XL using NORMDIST function or using Z-score and table. Watch my video on Normal Distribution. Here's the link: ua-cam.com/video/WR4-A_zVK28/v-deo.htmlfeature=shared

    • @user-vd5lk7wy5x
      @user-vd5lk7wy5x 9 місяців тому

      thank you