1. DMAIC A FIVE STEP METHODOLOGY TO PROBLEM SOLVING 1

2. DEFINE 2 DMAIC

3. PROJECT CHARTER 3 Project TitleProject Type YB/GB/ BB Business Case Problem Statement Goal Statement In scopeOut Scope

4. SIPOC 4 SUPPLIER CUSTOMERPUTPUTPROCESSINPUT

5. PROCESS MAP 5 xxxx xxx xxxx

6. CTQ TREE 6 xxxx

7. DEFINE TOLLGATE 7

8. MEASURE 8 DMAIC

9. MEASUREMENT PLAN 9 Continuous Data Target USL LSL Discrete Data Unit Defect Number of Opportunities List of Opportunities for defect

10. MEASUREMENT PLAN 10 Measure of Performance Data source and location Sample SizeWho will collect data Closure DateData Period

11. BASELINE CALCULATION FOR DESCRETE DATA 11

12. BASELINE CALCULATION FOR CONTINEOUS DATA 12

13. MEASUREMENT SYSTEM ANALYSIS 13

14. MEASURE TOLLGATE 14

15. ANALYSE 15 DMAIC

16. ROOT CAUSE ANALYSIS 16

17. HYPOTHESIS TESTING SUMMARY 17 X’s IdentifiedData Normal?Hypothesis test performed P- ValueIs X significant?

18. HYPOTHESIS TESTING 18 Continuous Discrete Continuous 1 Sample t 2 Sample t ANOVA Correlation & Regression Chi-Square Log-Regression Y X

19. ANALYSE TOLLGATE 19

20. IMPROVE 20 DMAIC

21. IMPROVEMENT IDEAS 21 S.NIdentified root cause SolutionsPerceived BenefitsCost / Risk 1. 2. 3.

22. IMPROVEMENT ACTION PLAN 22 Improvement actions ResponsibilityAction planTimeline

23. BASELINE CALCULATION POST IMPROVEMENT FOR DISCRETE DATA 23

24. BASELINE CALCULATION POST IMPROVEMENT FOR CONTINUOUS DATA 24

25. IMPROVE TOLLGATE 25

26. CONTROL 26 DMAIC

27. CONTROLLING X S 27 Standard operating procedures changed Visual controls Mistake proofing

28. PROCESS CONTROL PLAN 28

29. CONTROL CHART 29

30. FMEA 30

31. CONTROL TOLLGATE 31

32. PROJECT CLOSURE 32 PROJECT CLOSURE Project highlights Project CTQUnit of Measurement Before Project After ProjectTarget set Statistically proven improvement ? Yes/ No Benefits – Hard or Soft ; $ / Year Participants Presented by Financial Validation completed ?