iSixSigma

Rogers

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  • #184809

    Rogers
    Participant

    Thanks, Stan:
    Would you please be so kind to show me the formula for calculating this problem?  I need to be able to work the rest on my own for future assignments and the final.
    Thanks again.

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    #176204

    Rogers
    Participant

    Thanks for the reply, unfortuantely though I cantopen the improvement plan you sent.  My PC may have blocked it for security purposes.  But Im really looking forward to seeing your notes.  Maybe you can send it directly to my email ad [email protected].
    Regards,
     
     

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    #176191

    Rogers
    Participant

    Hi Ron – I have been tasked to work on increasing employee retention, the approach that we used is in analyzing our attrition data is delving into employee tenure(at what tenure do majority of the employees leave) and classified it to different stages, we also look into performance (to make sure that we keep performing employees).  I would really appreciate it, if you can share with me your presentation to help me with my recommendation and potential methodologies that I can use in the future.
    Best Regards,
    Debbie
      

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    #169914

    Rogers
    Participant

    I would love to hear some of your procurement projects and how you implemented a “leaner” process
     
    I am new to Purchasing and we have lots of “opportunities”.  I guess I want to know what/where to start first.
     
     

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    #153290

    Rogers
    Participant

    First of all, I first looked at your data from a practical view.  Whenever you are trying to analyze short or missed shipments compared to total ships you must develop the relationship between them.  I added the % column to your chart:

    DES Region
    SSPD Cases
    OK Cases
    Grand Total
    % Short

    SWP
    9
    3406
    3415
    0.26%

    NA
    6
    5484
    5490
    0.11%

    SEA
    5
    5201
    5206
    0.10%

    WA
    4
    4170
    4174
    0.10%

    AM
    1
    1710
    1711
    0.06%

    EUR
     
    2863
    2863
    0.00%

    Grand Total
    25
    22834
    22859
    0.11%
    You really want to focus on the % as it really tells you from a practical standpoint that you have a higher incident rate in the SWP region.  Next- what is your null?  What are you trying to prove when running the logistic regression?  Based on the data you should pool EUR and re-run since the 0 p-value is less than .05.
    Hope this helps.
    Deb

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    #148601

    Rogers
    Participant

    Leadtime drives cost, both above the waterline and hidden factory.  First of all, inventory levels must cover the leadtime.  For example, if intransit (from shipment to delivery) leadtime from a supplier to a customer is based on ocean freight you automatically have to cover 30 days of production schedules with available inventory.  On the other hand, if the transit leadtime is via air freight or a short geographical distance the available inventory is a factor of production schedules vs. transit time.  With the need to maintain higher inventories you also have to allow for storage of those inventories.  There is cost, both real and opportunity, when you have to allocate floor space to inventory vs. using it for production.  From a hidden factory standpoint you have to consider the amount of inventory tied up that could become non-usuable if a quality problem is discovered or if your customer is driving a change to the product.  Now you have inventory that has to be re-worked, scrapped, returned, etc.  This is the chance you take when long leadtimes drive inventory.  This is also true if the leadtime is a product of throughput time in the factory- in process stock will create the same costs as described with my intransit examples.  Hope this helps!

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    #60098

    Rogers
    Participant

    Carolyn, Thank you for the input and article.  This is very helpful!

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    #92564

    Rogers
    Participant

    Tony,
    Can you please send me the dilbert cartoon?
    Thank you, Debbie

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    #59865

    Rogers
    Participant

    Not knowing your level of understanding I can make some basic recommendations…
    First, a course in college level statistics would definately come in handy.  Second, a book like “What is Six Sigma” by Peter Pande would be helpful for the Six Sigma 101 version.  If you have some knowledge already, there are on line resources that you could benefit from.  BMG has on line training that you can use fairly inexpensively and you can get started before deployment in your organization.

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    #75331

    Rogers
    Participant

    I, too, have been assigned a forecasting project and would love to receive a copy of your forecasting Wizard

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Viewing 10 posts - 1 through 10 (of 10 total)