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Root Cause Analysis: Integrating Ishikawa Diagrams and the 5 Whys
Integrating good root cause analysis practices is one way to improve your workflow's overall efficiency. This guide covers some handy tips.
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https://www.isixsigma.com/measurement-systems-anal…
Understand the Difference Between Verification and Validation
How do verification and validation differ? Find out how these concepts apply to your simulations in our comprehensive guide.
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Predicting Success: A Comprehensive Guide to Trend Analysis Tools
Key Points Trend analysis is a method of using data to spot patterns for the sake of forecasting future events. There are many tools to conduct trend analysis. Given the proliferation of modern software, it is relatively easy for anyone to conduct trend analysis. If you could somehow predict the future, you might be able to plan better and make your organization more successful. This article ...
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Pareto Chart: How to Use It to Identify Root Causes - iSixSigma
How do you use Pareto charts to determine the root cause of a problem? Learn how to make the most of this simple and useful tool.
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How the Taguchi Method Simplifies Experimental Design and Analysis
The Taguchi Method is a cornerstone of robust design processes. Our comprehensive guide covers this useful tool in depth.
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Mastering Positive Correlation Analysis: Tools and Techniques
A positive correlation between variables means that as one variable increases, the other variable increases as well. The values for a positive correlation will have a positive sign for the calculation of r, with the maximum being +1, a perfect correlation.
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https://www.isixsigma.com/basics/using-five-ws-and…
Using the Five W's and One H Approach to Six Sigma
How do you implement the Six Sigma methodology? Consider the 5W1H approach when implementing it for your organization. 5W1H (who, what, where, when, why, how) is a method of asking questions about a process or a problem taken up for improvement. Four of the W’s (who, what, where, when) and the one H are used to comprehend details, analyze inferences and judgment to get to the fundamental ...
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Dealing with Non-normal Data: Strategies and Tools - iSixSigma
How do you deal with non-normal data? Normal data distributions are often misunderstood in Six Sigma, this guide covers effective strategies.
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Flow Time vs. Cycle Time: What’s the Difference? - iSixSigma
Flow time vs. cycle time: is there a difference? This in-depth guide covers how you measure time throughout a project.
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Accuracy vs. Repeatability: What’s the Difference? - iSixSigma
How do accuracy and repeatability apply to your production? Take a look at what these two metrics mean in the context of your projects.