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DMAIC Model of Lean Six Sigma

DMAIC Model of Lean Six Sigma

Dated: 26th Jan 2016

Define Phase:

  1. Voice of the Customer, Business & Cost of Poor Quality
  2. Kano Analysis
  3. Quality Function Deployment
  4. Goal-Means Diagram & CTQ Drill down tree
  5. Prioritization matrix & DMAIC screening
  6. Business Case & Project Charter
  7. Project Management (PM) Tools

Measure:

  1. Process Characteristics
  2. Data Collection
  3. Measurement System Analysis which includes Gage R&R, Attribute Agreement Analysis
  4. Basic Statistics and Probability
  5. Graphical plots like histogram, Dot plot, Individual value plot, Multi-vari chart, Time series plot
  6. Rational Sub-grouping
  7. Sigma level for overall & sub-grouped data
  8. Process Capability Indices
  9. Goal Setting and Feasibility

Analyse:

  1. Failure Mode and Effects Analysis(FMEA)
  2. Value stream mapping
  3. Qualitative Screening
  4. Exploratory Analysis
  5. Measuring & Modeling Relationships between Variables
  6. Sample Size determination for Hypothesis test
  7. Sample size determine for Lot testing
  8. Hypothesis testing for normally distributed data which includes t test, ANOVA, Bartlett, Levene, F-test, ANOM
  9. Hypothesis testing for non-normal data which includes 1-sample sign, Mann-Whitney, Moods- Median, Kruskal Wallis
  10. Hypothesis testing for discrete data which include 2-proportion, chi-square test
  11. Correlation & Regression including discussion on R-squared, R-squared predicted

Improve:

  1. Design of Experiments (DOE) includes Full Factorial & Fractional Factorial experiments
  2. Y=f(x) model development
  3. Graphical plots includes Main effects Plot, Interaction Effects Plot,Cube Plot, Surface Plot, Contour Plot
  4. Response Optimization using constraints
  5. Lean Methods like SMED, JIT, Kanban, Total Productive Maintenance, Poka Yoke
  6. Full Scale Implementation Project Plan & Validation

Control:

  1. Control Plan which includes Risk mitigation dashboard, Poka Yoke dashboard, Audit & Inspection Plans
  2. Statistical Process Control (SPC) – Control charts including p, np, c,u, Xbar-R, Xbar-S, I-MR chart
  3. Solution Documentation & Financial Benefits Projection
  4. Executive Summary & Handover to Process Owner

 

Source: VarSigma (Exemplar Global)

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