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Home Lean Six Sigma (page 11)

Lean Six Sigma

  • Improve Phase. Identify The Vital Xs And Implementable Solutions

    sensei December 16, 2020
    0 3,638
    Blog Lean Lean Six Sigma

    To make certain that you are heading down the right path, you should determine whether the Xs you have identified (vital Xs) as being in need of improvement are critical elements or operating parameters.

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  • Design of Experiments

    sensei November 28, 2020
    0 6,149
    Blog Lean Six Sigma Training
    Statistically designed experiment

    Design of experiment: used to select product characteristics and process parameters to obtain desired product and process performance.

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  • Japanese terminology for 5S is seiri, seiton, seiso, seiketsu, and shitsuke

    sensei November 3, 2020
    0 13,031
    5S Blog Lean Lean Six Sigma
    A program to reduce operational steps and improve the overall cleanliness of a work area making it safer and more productive

    A program to reduce operational steps and improve the overall cleanliness of a work area making it safer and more productive. Step 1. Sort Removing from the workplace all items that are not needed for current production operations. Leaving only the bare essentials: Sort out what is really necessary and…

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  • Introduction to Hypothesis Testing

    sensei October 25, 2020
    0 12,388
    Blog DMAIC Lean Six Sigma Training
    Hypothesis Testing

    Hypothesis Testing is a statistical tool, that allows the resemblance of two or more process attributes – mean, median, and standard deviation. It provides a method to determine differences. An important part of a conclusion reached based on random sampling (statistical inference) A hypothesis is a statement we want to…

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Lean Manufacturing is a methodology for producing goods that emphasizes minimizing waste and maximizing efficiency. It is a manufacturing philosophy that aims to produce goods with the least amount of resources, time and effort. Lean manufacturing aims to eliminate waste and improve the flow of materials and information throughout the production process. This approach is often used in manufacturing environments where efficiency and cost-effectiveness are critical, such as in the automotive and electronics industries.
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