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Project Title

Project Title. GB or BB name: XYZ. Define Phase. C. I. A. M. D. D. M. A. I. C. Deployment. D. M. A. I. C. Project Charter. D. M. A. I. C. Team. D. M. A. I. C. Gantt Chart. D. M. A. I. C. Framing Worksheet. D. M. A. I. C. Customer Requirements CTQ’s. D.

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Project Title

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  1. Project Title GB or BB name: XYZ

  2. Define Phase C I A M D

  3. D M A I C Deployment

  4. D M A I C Project Charter

  5. D M A I C Team

  6. D M A I C Gantt Chart

  7. D M A I C Framing Worksheet

  8. D M A I C CustomerRequirements CTQ’s

  9. D M A I C SIPOC For example

  10. D M A I C Measure phase C D M I A

  11. D M A I C Current process map Include some initial map of your process

  12. D M A I C Ys behavior

  13. D M A I C Cause & effect diagram to find potential Xs

  14. D M A I C Data collection Pareto Check sheet

  15. D M A I C Data collection plan

  16. D M A I C Measurement System Analysis Is the Measurement System adequate ______ Yes/No Potential source(s) of measurement variation checklist Yes/No Evidence Is my measurement system repeatable? _______ Will I get the same results if I make the measurement more than once? Is my measurement system reproducible? _______ Will someone else be able to complete the same measurement & get the same results? Is my measurement system accurate? _______ Will the results from the study match the actual value or expert data? The appropriate analysis tool to quantify the amount of variation due to the measurement system is _______ Very simple assessment _______ Discrete data analysis tool (for repeatability, reproducibility & accuracy) _______ Gage R&R - ANOVA method _______ Gage R&R - Short method Only if issues on Measuring system

  17. D M A I C Measurement System Analysis – Gage R&R

  18. D M A I C D N x O Baseline process sigma (method 1) • Number of units processed N = __________ • Total number of defects made (include defects made and later fixed) D = __________ • Number of defect opportunities per unit (equate to CTQs) O = __________ • Calculate # defects per million opportunities DPMO = 1,000,000 x ( ) = 1,000,000 x = __________ • Look up process sigma in Sigma = __________ sigma conversion table ( ) ( ) ( )

  19. D M A I C Baseline process sigma (method 2 – using Jmp) • short term sigma = 0.74 • long term sigma value = 2.35 • Stable or unstable ?

  20. D M A I C Analyse phase C D M I A

  21. D M A I C Cause & effect diagram for Experience Door without data collection plan

  22. D M A I C 5 Whys Analysis for Experience Door without data collection plan  Catalyst Consulting Ltd. 2006

  23. D M A I C Statistical Analysis Box plot Scatterplot Simple regression Fit Y by X Anova Screening Partitioning …  Catalyst Consulting Ltd. 2006

  24. D M A I C Y=f(Xi) – Statistical Model

  25. D M A I C Vital few Causes

  26. D M A I C Improve phase I C A D M

  27. D M A I C Proposed solution

  28. D M A I C Proposed solution add additional slides to elaborate on actions using pictures and summary activities

  29. D M A I C Control phase C I A D M

  30. D M A I C OPL

  31. D M A I C Control Plan

  32. D M A I C Final process sigma (method 1) • Number of units processed N = __________ • Total number of defects made (include defects made and later fixed) D = __________ • Number of defect opportunities per unit (equate to CTQs) O = __________ • Calculate # defects per million opportunities DPMO = 1,000,000 x ( ) = 1,000,000 x = __________ • Look up process sigma in sigma conversion table Sigma = __________ D N x O ( ) ( ) ( )

  33. D M A I C Final process sigma (method 2) BEFORE AFTER

  34. D M A I C ROSS Control – the final outcome

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