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Project Title GB or BB name: XYZ. Define Phase D D M M A A I I C C.

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Presentation on theme: "Project Title GB or BB name: XYZ. Define Phase D D M M A A I I C C."— Presentation transcript:

1 Project Title GB or BB name: XYZ

2 Define Phase D D M M A A I I C C

3 Deployment DMAIC

4 Project Charter DMAIC

5 Team DMAIC NameFunctionRole In the teamIn charge of…

6 Gantt Chart DMAIC

7 Framing Worksheet DMAIC

8 Customer Requirements CTQ’s VOC for example: Key IssuesCustomer CTQs Measurable Requirements 1 st level Customer CTQs if needed 2 nd level 1 When I’m staying in a hotel I like a good bath right temperatureTemperature > 30 degrees < 36 degrees Fills up quickly time to fill < 5 mins 2 3 DMAIC

9 SIPOC SuppliersInputsPROCESSOutputsCustomers Use nounsUse verbsUse nouns Start point Arrival point For example DMAIC

10 Stakeholder Analysis Who are they? Where are they? Where do we need them to be? How do we get them there? Who could help? Names Strongly against Moderately against Neutral Moderately supportive Strongly supportive Hot/cold spots Next steps DMAIC

11 Measure phase M M D D A A I I C C DMAIC

12 Current process map Include some initial map of your process DMAIC

13 Ys behavior DMAIC

14 Cause & effect diagram to find potential Xs DMAIC

15 Data collection DMAIC Check sheet Pareto

16 Data collection plan DMAIC WhatHowWhoWhere MeasureOperational definition Type of measure – Y or Xs Type of Data Measurement tools Sampling scheme and Frequency Who is collecting the data On which document - form

17 Measurement System Analysis Potential source(s) of measurement variation checklist Yes/NoEvidence 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 Is the Measurement System adequate ______Yes/No DMAIC

18 Measurement System Analysis – Gage R&R DMAIC

19 Baseline process sigma 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 D N x O ( ) ( ) ( ) (method 1) DMAIC

20 Baseline process sigma (method 2 – using Jmp) DMAIC short term sigma = 0.74 long term sigma value = 2.35 Stable or unstable ?

21 Analyse phase M M D D A A I I C C DMAIC

22 Cause & effect diagram for Experience Door without data collection plan DMAIC

23 5 Whys Analysis for Experience Door without data collection plan  Catalyst Consulting Ltd. 2006 DMAIC

24 Statistical Analysis  Catalyst Consulting Ltd. 2006 DMAIC Box plot Scatterplot Simple regression Fit Y by X Anova Screening Partitioning …

25 Y=f(Xi) – Statistical Model DMAIC

26 Vital few Causes Critical X 1 2 3 4 DMAIC

27 Improve phase I I D D M M A A C C DMAIC

28 Proposed solution DMAIC

29 DMAIC add additional slides to elaborate on actions using pictures and summary activities

30 Stakeholder Analysis - improve Who are they? Where are they? Where do we need them to be? How do we get them there? Who could help? Names Strongly against Moderately against Neutral Moderately supportive Strongly supportive Hot/cold spots Next steps DMAIC

31 Control phase C C D D M M A A I I DMAIC

32 32 DMAIC OPL

33 Control Plan DMAIC

34 Final process sigma 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 ( ) ( ) ( ) (method 1) DMAIC

35 Final process sigma (method 2) DMAIC BEFOREAFTER

36 ROSS Control – the final outcome BaselineFinal Performance Project Y Z ST Z LT Financial benefits Cost ££ Revenue £ Cash £ Implementation costs £ Net Benefit £ DMAIC


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