ANALYZEWelcome to the 3rd phase of a DMAIC Project.
The ANALYZE phase is the beginning of the statistical analysis of the problem. The practical problem was created in the earlier phases. This phase statistically reviews the families of variation and will determine which are significant contributors to the output. The statistical analysis is done with the development of a theory, null hypothesis. The analysis will "fail to reject" or "reject" the theory. The families of variation and their contributions are quantified and relationships between variables are shown graphically and numerically to provide the team direction for improvements. For example: You may analyze part-part variation, shift-shift variation, operator-operator variation, machine-machine variation. Most of the analysis at this phase is not whether the AFTER process performance is different than the BEFORE process performance because none of the improvements have been implemented yet, these improvements are now becoming evident and prioritized.
By the end of the ANALYZE phase the KPIV's that are creating the most significant effect on "Y" should be identified. Any wastes found by employing Lean tools should be identified and prioritized to improve. The outputs of ANALYZE lead into the inputs to the IMPROVE phase. Alpha and Beta Risks (Type I Error and Type II Error)
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