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Anexas a consulting organization based in Denmark with wide presence in India and offices in UAE, Kingdom of Saudi Arabia, Singapore and Canada. Anexas group comprises of Anexas Denmark in Europe, Anexas FZE in UAE, Anexas Consultancy Pvt ltd in India and Anexas Consulting in Middle East, Soon all over the world.

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FAQ

FAQ

Why Do Six Sigma ?

a. Definition and graphical view of Six Sigma
b. i.Overview of business applications
   ii. Example Sigma Levels
   iii. Introduction to DPMO and cost as metrics.
c. Comparisons between typical TQM and Six Sigma Programs.
d. Origins and Success Stories. 

How to Deploy Six Sigma ?

a. Leadership responsibilities.
b. Description of the roles and responsibilities.
c. Resource allocation.
d. Data driven decision making.
e. Organizational metrics and dashboards.

Six Sigma Projects?

a. Leadership responsibilities.
b. Description of the roles and responsibilities.
c. Resource allocation.
d. Data driven decision making.
e. Organizational metrics and dashboards.

Incorporating Voice of the Customer?

  1. Kano Model
  2. Customer Focus and the Leadership Role.
  3. Overview of QFD.
  4. Customer Data.
  5. Big Y's, Little Y's. 

DEFINE: Project Definition test

  1. Tasks.
  2. Work Breakdown Structure.
  3. Pareto Diagrams.
  4. Process Maps.
  5. Project Charters.
  6. Reporting. 

DEFINE: Project Financials

  1. Quality Cost Classifications.
  2. Quantifying Project Benefits.
  3. Calculations. 

DEFINE: Goals and Metrics

  1. CTC, CTQ, CTS Parameters.
  2. CTx Flow-down Model (Big Y's, Little y's).
  3. Measurement and Feedback.
  4. Calculating Sigma Levels. 

DEFINE: Project Scheduling

  1. Activity Network Diagram.
  2. PERT Analysis. (Optional)
  3. GANNT Chart.  

DEFINE: Change Management / Teams

  1. Problems with Change.
  2. Achieving Buy-In.
  3. Stakeholder Analysis
  4. Team Formation, Rules and Responsibilities.
    1. Stages of Team Development.
    2. Overcoming Problems.
  5. Consensus Building
    1. Affinity Diagram.
    2. Nominal Group Technique.
    3. Prioritization Matrix. 

MEASURE: Tools test

  1. Measure Stage Objectives
  2. Flowcharts. (Optional)
  3. Process Maps.
  4. SIPOC.
  5. Box-Whisker Plots.
  6. Cause and Effect Diagrams.
  7. Check Sheets.
  8. Interrelationship diagrams 

MEASURE: Establishing Process Baseline

  1. Enumerative vs. Analytic Statistics.
  2. Process Variation.
  3. Benefits of Control Charts.
  4. Requirements vs. Control.
  5. Control Chart Interpretation. 

MEASURE: X-Bar Charts test

  1. Uses.
  2. Construction and Calculations.
  3. Assumptions.
  4. Rational Subgroups.
  5. Sampling Considerations.
  6. Interpretation.
    1. Run Test Rules. 

MEASURE: Individuals Data

  1. Uses.
  2. Construction and Calculations.
  3. Assumptions.
  4. Sampling Considerations.
  5. Interpretation.
  6. Overview of Other Individual Charts.
    1. Run Test Rules.
    2. Moving Average Charts.

MEASURE: Process Capability

  1. Histograms.
  2. Probability Plots.
  3. Goodness of Fit Tests.
  4. Capability and Performance Indices.
    1. Relative to Process Control.
    2. Interpretation.
    3. Estimating Error. 

MEASURE: Attribute Charts

  1. Uses.
  2. Selection.
  3. Construction and Calculations.
  4. Sampling Considerations. 

MEASURE: Measurement Systems Analysis

  1. Stability Studies.
  2. Linearity Analysis.
  3. RandR Analysis.
    1. Range Method Calculations.
    2. Interpretation.
    3. Using Control Charts.
    4. Destructive Tests.
    5. ANOVA Method. 

ANALYZE: Lean Thinking

  1. Definition of Waste.
  2. Analyzing Process for NVA.
    1. Cycle Efficiencies
    2. Lead Time and Velocity
  3. c. Methods to Increase Velocity.
    1. Standardization
    2. Optimization
    3. Spaghetti Diagrams (Optional)
    4. 5S
    5. Level Loading.
    6. Flow
    7. Setup Reductions 

ANALYZE: Sources of Variation

  1. Multi-vari Plots
  2. Confidence Intervals on Mean
  3. Hypothesis Test on Mean
  4. Hypothesis Test on Mean of Two Samples
  5. Power and Sample Size.
  6. Contingency tables.
  7. Chi-Square Tests
  8. Non-parametric Tests. 

ANALYZE: Regression Analysis

  1. Scatter Diagrams.
  2. Linear Model.
  3. Interpreting the ANOVA Table.
  4. Confidence and Prediction Limits.
  5. Residuals Analysis.
  6. Overview of Multiple Regression Tools 

ANALYZE: Multiple Regression

  1. Multiple Regression with Attribute Xs.
  2. Multivariate Models.
  3. Interaction Plots.
  4. Interpreting ANOVA Tables.
  5. Model Considerations.
  6. Stepwise Regression.
  7. Residuals Analysis. 

ANALYZE: DOE Introduction

  1. Terminology
  2. DOE vs. Traditional Experiments
  3. DOE vs. Historical Data
  4. Design Planning.
  5. Design Specification.
  6. Selecting Factors and Levels.
  7. Complete Factorials.
  8. Fractional Factorials.
    1. Aliasing.
    2. Screening Designs. 

IMPROVE: DOE Analysis Fundamentals

  1. Estimating Effects and Coefficients.
  2. Significance Plots.
  3. Estimating Error.
  4. Extending Designs.
  5. Power of Design. 

IMPROVE: Design Selection

  1. Desirable Designs.
  2. Performance.
    1. Balance.
    2. Orthogonality.
    3. Resolution.
  3. Other Design Models.
    1. Saturated Designs.
    2. Plackett Burman Designs.
    3. Taguchi Designs (mention).

IMPROVE: Tools

  1. Improve Stage Objectives.
  2. Tools to Prioritize Improvement Opportunities.
  3. Tools to Define New Process Flow.
    1. Lean Tools to reduce NVA and Achieve Flow.
  4. Tools to Define and Mitigate Failure Modes.
    1. PDPC. (Optional)
    2. FMEA.
    3. Preventing Failures.
  5. Reference to Tools for Defining New Process Levels.

CONTROL: Tools

  1. Control Stage Objectives.
  2. Control Plans.
  3. Training.
  4. Measuring Improvement.

CONTROL: Charts

  1. X Bar-R, IMR
  2. P, np charts.
  3. C, u Charts
  4. Other types of control charts

Design for Six Sigma Overview

  1. Methodology.
  2. Tools for DFSS.
  3. System, Parameter and Tolerance Designs
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