In the Analyse phase of Six Sigma's DMAIC, we take a deep look at the inner workings of your process: we've measured what exactly happens, now we must find out how that happened - which factors of the process lead to problems, or alternatively give the most optimal or stable process conditions.
We will be exploring the physics of our process. Tools like the Cause and Effect diagram, Design of Experiment (DOE), and Failure Mode and Effects Analysis (FMEA) are often used in this phase; as are a slew of common statistical tools or specific calculations used in your industry. Capturing your process in numbers is an important part of this phase, but don't be overly fixated on data - the goal is to understand causal relations in your process, the data is usually the best way to define this, but it's not the end goal.
The type of issues we solve with DMAIC don't tend to have a single root cause (rather a set of causes and conditions). For deviations from know (performance) standards we do expect a single root cause to be the culprit, and you're better off using a smaller set of tools to find and eliminate that cause. Check out my course on effective Root Cause Problem Solving with a team here: www.tommentink.com/offers/qoZ...
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• DMAIC Analyse phase ex...
00:00 Introduction to the Analyze Phase
01:23 Differentiating Analyze Phase from Root Cause Analysis
03:18 Implementing Designed Experiments for Process Optimization
05:16 Utilizing Tools for Complex Problem Solving
07:17 Importance of Understanding Chemistry and Physics in Analyze Phase
08:04 Significance of Analyze Phase for Organizational Success