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MONDAY, SEPTEMBER 26, 2016
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  • If the input the process is the delta in diameters, you could see if your measurement system is precise for those differences. Be sure to have the system calibrated for accuracy before starting.

    Also, some may say–do a gage R&R individually for both inside and outside and evaluate separately–that would work also but if the input to the process…[Read more]

  • Always nice to see another perspective.

  • I finally read them after @rbutler did. I find it interesting….the notion that a goal wouldn’t be collaborative to help an organization is mind boggling. How does one get sustained change without buy in and understanding.

    Limited “of cLear” means proper project scoping–nothing new. However, change requires alignment in the business also and…[Read more]

  • I’ve seen OPEX leaders that were responsible across the “silos” and said a facility had to implement the improvements proven at another facility–especially if a loss was common.

    NIMBY is a common thing to fight when doing your work.

    Not In My Back Yard.

  • Yes, have a measureable metric that’s precise/accurate enough and have a baseline and have a target or goal. Without those, it becomes a bunch of activities without impacting the business.

    Nice reply @rbutler

  • @joelatminitab can confirm
    but in Minitab, you can make the intercept equal to zero for a linear regression as an option. I would do it especially if that coefficient didn’t at least have 95% confidence.

  • Either another functionality hasn’t been checked or the specs weren’t appropriate?

  • My compliments to show a metric chart for an article. Nice to see bottom line results

  • This may get some disagreement BUT if the % of each ingredient doesn’t impact the % of the others, you can use an easier approach of factorial design. An example of not impacting other % active ingredients is if you just are altering the solvent or other main components to account for the active ingredients you’re putting into high/low…[Read more]

  • This may get some disagreement BUT if the % of each ingredient doesn’t impact the % of the others, you can use an easier approach of factorial design. An example of not impacting other % active ingredients is if you just are altering the solvent or other main components to account for the active ingredients you’re putting into high/low…[Read more]

  • an area to start is Minitab help on methods and formulas

  • Within variation is the Range chart you originally posted. The between variation is your Xbar chart you originally posted.

  • Confirm you’ve kept the data in time ordered sequence…if you look, it seems your within variation is typically more than your between variation.

    Have you done a gage R&R on the pH? Make sure where the process is being sampled isn’t impacting the pH result.

    A few aspects to consider.

  • It depends on what it means to “understand the mathematics”. I don’t think it’s very necessary to how the numbers are calculated–most users truly don’t. It’s important to understand ramifications for the design’s parameters and get a feel for how to get decisions made.

    My two cents

  • I’m not talented enough personally but linear programming can be done in excel to simulate….or spring for simulation software that does exist out there.

  • Keep in mind that you can run a simulation to assure no starving of downstream, step 2 or you may not even have the 48 pieces you assume from step 1.

  • Specifications are voice of the customer.

    Control limits are the voice of the process.

    simply stated, the process may not be listening to the customer needs and therefore producing all off spec product.

  • Count defects and use a standard definition for typical number of value added opportunities to get a DPMO…however, it’s harder than the simple answer given here by myself.

  • Count defects and use a standard definition for typical number of value added opportunities to get a DPMO…however, it’s harder than the simple answer given here by myself.

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