Six Sigma Analyze Tollgate Review

A Tollgate Review will help you determine if the goals in a DMAICDMAIC is an abbreviation of the five improvement steps it co... Learn More... stage have been completed and whether you can move on to the next stage.

A Six Sigma Analyze Tollgate Review is like a checkpoint at which the various team members meet with a project ChampionA Champion in a Six Sigma initiative is the executive sponso... Learn More... and determine whether the work has been performed as indicated in the project plan and whether the objectives mentioned have been achieved.

Analyze Tollgate Review:

Failure Modes and Effects Analysis (FMEA) (Qualitative Analysis)

Has the Preliminary FMEA been developed?
- Has the Team drilled down on at least the five Key Inputs determined through the C&E Matrix
Has the team discovered any quick wins from the FMEA? If so, how are they being dealt with?

Quantitative Analysis

What Statistical Tools were used to analyze the data?
Has the team gathered data for a Mult-Vari Analysis to determine the “Critical Few” Variables?
Has the team used the Basic Quality Tools to graphically analyze the data?
Has a Hypothesis statement(s), null hypothesisA statistical hypothesis is a hypothesis that is testabl... Learn More... and alternative hypothesisIn statistical hypothesis testing, the alternative hypothe... Learn More... has been developed for the data analyzed

Quantifying the Gap/Opportunity

What is the cost of poor quality (COPQ) as supported by the team’s analysis?
What are the revised rough order estimates of the financial savings/opportunity for the improvement project?
Have the problem and goal statements been updated to reflect the additional knowledge gained from the analyze phase?
Have any additional benefits been identified that will result from closing all or most of the gaps?
What were the financial benefits resulting from any ‘ground fruit or low-hanging fruit’ (quick fixes)?

Analyze Stage Deliverables:

Revised Charter problem statement reflecting an increased understanding of the problem
Additional Sources of Variation statistically quantified and prioritized
Use and display Multi-Vari tools to identify and verify the “Vital few” (Knob Variable) factors
Graphical analysis and interpretation of data using Basic Quality Tools
Correlation and Regression Analysis (if Applicable)
Hypothesis statement(s), null hypothesis and alternative hypothesis has been developed for the data analyzed
Hypothesis test output, p value and interpretation of the data
Any red flags with project or project scope and recommendations to resolve
Red flags and recommendations for resolving them defined
Next steps documented
Approval of report out signed by Project Champion