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SPC for Excel
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SPC for Excel add-in software for Lean Six Sigma
SPC for Excel add-in software for Lean Six Sigma

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To many, performance-based bonuses and salaries might seem fair since the individual will, in theory, earn more if they work hard and do their job well. But what if the company’s processes or methods are flawed and prevent full productivity or high success? Also, is money always the best motivator for an employee’s success? Today’s SPC Knowledge Base article looks at performance-based pay and how variation can impact the results. https://www.spcforexcel.com/knowledge/variation/variation-people-and-pay-for-performance
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One of the many tools offered in the SPC for Excel software is Hypothesis Testing, which can be applied to a wide range of scenarios and process improvement efforts. In our SPC Instructional Video, we discuss how to run Hypothesis Testing and the various options available with our software. https://youtu.be/6P6e8iUM9VY
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Consumers are inundated with surveys and questionnaires multiple times a day, whether it’s from websites, receipts, service providers, smartphone apps, or phone calls from political groups. The reason we are constantly asked for our opinion or feedback is because of how valuable this information is for process controls and improvement. In today’s SPC Knowledge Base article, we apply statistical process controls to data analysis to yield critical information. https://www.spcforexcel.com/knowledge/control-chart-examples/control-charts-and-surveys
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If your sales or manufacturing company is struggling to find the correct amount of merchandise or inventory to keep in stock, control charts can help identify important purchasing metrics to analyze. With the right control charts analyzing purchasing and sales metrics, improvements can be made earlier in processes to increase productivity and eliminate costly delays. Learn more in today’s SPC Knowledge Base article. https://www.spcforexcel.com/knowledge/control-chart-examples/control-charts-and-purchasing
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Control charts can teach us two basic truths: when to take action and when to leave a process alone. When our control charts show an out-of-limit control point, this is an indication that there is a special cause of variation to be identified and resolved to prevent additional issues. But with hundreds or even thousands of potential special causes, how do you begin to look for the underlying cause? Start by developing a control strategy, which is a list of 5-10 reasons a process might go out of control, developed by those working closest to the process. https://www.spcforexcel.com/knowledge/control-chart-basics/my-process-out-control-now-what-do-i-do
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Control charts can help provide estimates of the average and standard deviation of a given process. Although the calculation of an average is straightforward, understanding the standard deviation is more complex since there are multiple ways it can be derived. Today’s SPC Knowledge Base article looks at three ways to estimate the standard deviation of a process and how these impact values for control limits. https://www.spcforexcel.com/knowledge/control-chart-basics/estimated-standard-deviation-and-control-charts
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Scatter Diagrams are a valuable visual tool for examining the relationship between two variables. Our SPC Instructional Video demonstrates how to create Scatter Diagrams in SPC for Excel, as well as customization options such as labels to points on the diagram and adding the best fit line. https://youtu.be/tKrpxfrcoAk
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If your team has been implementing the use of control charts and other SPC techniques and strategies for process improvement, quiz them using our free SPC Jeopardy game! We offer a SPC Jeopardy Power Point game free for downloading on our site to test your team’s knowledge of categories such as process tools, variation, or control charts. You can also tailor it to your company’s specific industry or process improvements. https://www.spcforexcel.com/knowledge/miscellanous/spc-and-jeopardy
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With Statistical Process Control (SPC), rational subgrouping is a very important, but often forgotten aspect. Far too often, people do not give enough (or any) thought about how to subgroup their data when constructing an X-R control chart or any other control chart that involves putting the data into subgroups. It’s important to remember that control charts are a study of the variation in your process, so any variation displayed on your control chart will depend on how you subgroup your data. In today’s SPC Knowledge Base article, we examine rational subgrouping further. https://www.spcforexcel.com/knowledge/rational-subgrouping/spc-and-rational-subgrouping
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The first question you ask yourself when examining a control chart is “What variation is this chart examining?” which is key to using control charts effectively. Rational subgrouping provides the context you use to interpret a control chart, because without it, control charts would be impossible to understand. Using golf as an example, we apply the X-R control chart in this newsletter to monitor an average tournament score as well as game consistency. https://www.spcforexcel.com/knowledge/rational-subgrouping/spc-rational-subgrouping-and-golf
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