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About this lesson
A Lean Six Sigma Black Belt will often chair the stage gate review meetings for Lean Six Sigma projects. In those meetings, the Black Belt needs to ensure the work of the phase was done and the tools were used effectively. This lesson reviews the normal deliverables due at the Analyze stage gate review. It also includes hints and tips for identifying problems to be avoided during that phase.
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Quick reference
Analyze Stage Deliverables
The Analyze Stage is the third stage of a Lean Six Sigma project. The deliverables from this stage clarify the root causes of the problem that was described in the problem statement.
When to use
The Analyze Stage deliverables should be reviewed and approved at the Analyze Stage Gate Review meeting.
Instructions
Throughout the Analzye Stage, the Lean Six Sigma team investigates the problem to identify all the root causes. The causes are normally consolidated into a prioritized list that is reviewed during the Analyze Stage Gate Review. This list will first list any special cause root causes followed by a prioritized list of the common cause factors that contribute to the problem. With respect to the process map or value stream map, the analysis will be able to isolate the process steps with waste and inefficiency. The final result of the Analyze Stage Review is agreement on the list of causes that will be addressed going into the Improve stage.
The Define stage identified the Big Y of the Y = f(x) equation. The Measure stage captured the list of “x” factors. Now in the Analyze stage, the analysis will determine how these “x” factors combine to create the “Y” response. Essentially, this stage defines the “f” functional relationships. Also, at this time the equation can be used to help to set a reasonable performance target for improvement.
The major challenge in this stage is the team and stakeholders racing to solutions before they have finished the analysis. The team wants to solve the problem and they are anxious to do so. As a Black Belt, you will need to manage the process to ensure they don’t jump to a solution before they have identified the true root causes. This early jump normally leads to an ineffective solution. Ensure the team is methodical about completing the analysis. Questions you often must work through during the gate review meeting:
- What analysis was used to determine the root cause(s)? Is that the right analytical tool and what is the accuracy of the result? What was the hypothesis and what was determined in the hypothesis test?
- Are there Special Causes or Common Causes? Is it a one-of-a-kind unusual event, or inherent in the process design and management?
- Are these all the primary causes of the defect? Did you check all the hypothesized root causes, or did you stop at the first one?
- What is the target for improvement? Why do you believe that is reasonable and impactful?
Hints & tips
- Don’t get lost and overwhelmed by the data. Start with some visualization – they will often highlight areas of focus.
- If you find a special cause, remove it, collect more data, and determine if the common cause factors are also contributing to the problem.
- Based on the analysis, you may find that you need to collect additional data to pursue a hypothesis. This is normal. I often go through two or three rounds of data collection and analysis to isolate and understand the root causes.
- When doing an analysis of the value stream map, be tough on value-added time. Process operators and managers often want to claim time that is associated with how they manage the process. This is not value added to the customer. Challenge these items – they will often lead to a different and better way to manage the process.
- Watch out for the tendency to declare success prematurely. Check for all the root causes, not just the first one. When you have the full list, you may be able to create a solution that addresses multiple problems at once and not address them in isolation.
- When setting a target for improvement, I often start with the 50% rule. Reduce the current defect rate or cycle time by 50%. If the data warrants a higher value go with that, but I try to at least have a target of 50% improvement on the defect. A comment on cycle time, this means that I want to reduce the non-value-added time by 50%. That does not necessarily equate to a total cycle time reduction of 50%.
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