{"id":6390,"date":"2024-10-17T09:00:36","date_gmt":"2024-10-17T07:00:36","guid":{"rendered":"https:\/\/getnave.com\/blog\/?p=6390"},"modified":"2024-10-31T12:13:37","modified_gmt":"2024-10-31T11:13:37","slug":"step-by-step-guide-to-the-key-detection-rules","status":"publish","type":"post","link":"https:\/\/getnave.com\/blog\/step-by-step-guide-to-the-key-detection-rules\/","title":{"rendered":"How to Identify Process Issues: A Step-by-Step Guide to the Key Detection Rules"},"content":{"rendered":"
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Hey there!<\/p>\n

Last week, we talked about when to update your process limits<\/a>, and today we\u2019re going to keep moving forward and dive into how to detect signals that indicate changes in your process.<\/p>\n

At the beginning of our journey, we started with Detection Rule #1, which tells us that a single point outside of the calculated natural process limits<\/a> (also known as three sigma limits) is a strong signal that something unusual has occurred.<\/p>\n

This is the clearest sign of a signal because of its strength. When you detect this, it\u2019s time to take action right away and identify what\u2019s causing the deviation in your process.<\/p>\n

How to Identify Process Issues Using the 4 Detection Rule<\/h2>\n

Now, let\u2019s talk a bit more about those limits and go through each of them in detail.<\/p>\n

Detection Rule #1: Clear Signals<\/h3>\n

If a data point falls outside of the three-sigma limits range, it signals that something outside the norm has occurred. This is what Detection Rule #1 is all about\u2014a single point outside these limits signals that immediate action is required.<\/p>\n

But that\u2019s not the only way to detect signals. There are also moderate signals that suggest a process shift without as clear a deviation as Rule #1.<\/p>\n

This leads us to Detection Rule #2.<\/p>\n

Detection Rule #2: Moderate Changes<\/h3>\n

Detection Rule #2 states that if you observe two out of three successive values beyond one of the two sigma limits on the same side of the average, it\u2019s likely signaling a moderate process change.<\/p>\n

This is important because even if no point has gone beyond the three sigma limit, this pattern suggests something is starting to shift in your process. Investigating at this stage helps you catch issues before they become bigger problems.<\/p>\n

Detection Rule #3: Sustained Process Shifts<\/h3>\n

Now, let\u2019s move to Detection Rule #3. This rule indicates a more sustained change in your process. If you find that four out of five successive values fall beyond one of the one sigma lines (on the same side of the average), it\u2019s likely signaling a moderate, sustained process shift.<\/p>\n

Rule #3 increases the sensitivity of your signal detection and helps you spot sustained changes that may not be as obvious at first.<\/p>\n

In this case:<\/p>\n