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Six Sigma Black Belt

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Course Overview


Xpertised Offers Advanced and Personalized Instructor Led Online Classroom training on Six Sigma Black Belt which gives you the opportunity to interact with a Six Sigma Black Belt instructor and help you enhance yourself to meet the demands of the industry.

Learn from our instructors from the convenience of your home or office. Interact and learn live with trainers and other participants.

Course Content


Why Do Six Sigma?

  • Definition and graphical view of Six Sigma
  • Overview of business applications
  • Example Sigma Levels
  • Introduction to DPMO and cost as metrics.
  • Comparisons between typical TQM and Six Sigma Programs.
  • Origins and Success Stories.

How to Deploy Six Sigma?

  • Leadership responsibilities.
  • Description of the roles and responsibilities.
  • Resource allocation.
  • Data driven decision making.
  • Organizational metrics and dashboards

Six Sigma Projects

  • Project Focus.
  • Selecting Projects.
  • Overview of DMAIC methodology.
  • Project Reporting

Incorporating Voice of the Customer

  • Kano.
  • Customer Focus and the Leadership Role.
  • Customer Data.
  • Big Y's, Little Y's.

DEFINE: Project Definition

  • Tasks.
  • Pareto Diagrams.
  • Process Maps.
  • Matrix Diagrams.
  • Project Charters.
  • Reporting.

DEFINE: Project Financials

  • Quality Cost Classifications.
  • Quantifying Project Benefits.
  • Calculations.

DEFINE: Goals & Metrics

  • CTC, CTQ, CTS Parameters.
  • CTx Flow-down Model (Big Y's, Little y's).
  • Measurement & Feedback.
  • Calculating Sigma Levels

DEFINE: Project Scheduling

  • Activity Network Diagram.
  • PERT Analysis. (Optional)
  • GANNT Chart.

DEFINE: Change Management / Teams

  • Problems with Change.
  • Achieving Buy-In.
  • Team Formation, Rules & Responsibilities.
  • Stages of Team Development.
  • Overcoming Problems.
  • Consensus Building
  • Affinity Diagram.
  • Nominal Group Technique.
  • Prioritization Matrix.

MEASURE: Tools

  • Measure Stage Objectives
  • Flowcharts.
  • Process Maps.
  • SIPOC.
  • Box-Whisker Plots.
  • Cause & Effect Diagrams.
  • Check Sheets.
  • Interrelationship diagrams

MEASURE: Establishing Process Baseline

  • Enumerative vs. Analytic Statistics.
  • Process Variation.
  • Benefits of Control Charts.
  • Requirements vs. Control.
  • Control Chart Interpretation

MEASURE: X-Bar Cha. Uses

  • Construction & Calculations.
  • Assumptions.
  • Rational Subgroups.
  • Sampling Considerations.
  • Interpretation.

MEASURE: Individuals Data

  • Uses.
  • Construction & Calculations.
  • Assumptions.
  • Sampling Considerations.
  • Interpretation.
  • Overview of Other Individual Charts.
  • Run Charts.
  • Moving Average Charts.  

MEASURE: Process Capability

  • Histograms.
  • Probability Plots.
  • Goodness of Fit Tests.
  • Capability & Performance Indices.
  • Relative to Process Control.
  • Interpretation.
  • Estimating Error.  

MEASURE: Attribute Charts

  • Uses.
  • Selection.
  • Construction & Calculations.
  • Sampling Considerations

MEASURE: Short Run SPC

  • Uses.
  • Calculations.

MEASURE: Measurement Systems Analysis

  • Stability Studies.
  • Linearity Analysis.
  • R&R Analysis.
  • Range Method Calculations.
  • Interpretation. 
  • Using Control Charts.
  • Destructive Tests.
  • ANOVA Method.

ANALYZE: Lean Thinking

  • Definition of Waste.
  • Analyzing Process for NVA.
  • Cycle Efficiencies
  • Lead Time and Velocity
  • Methods to Increase Velocity.
  • Standardization
  • Optimization
  • Spaghetti Diagrams (Optional)
  • 5S
  • Level Loading.
  • Flow
  • Setup Reductions

ANALYZE: Sources of Variation

  • Multi-vari Plots
  • Confidence Intervals on Mean
  • Hypothesis Test on Mean
  • Hypothesis Test on Mean of Two Samples
  • Power & Sample Size.
  • Contingency tables.
  • Chi-Square Tests
  • Non-parametric Tests.

ANALYZE: Regression Analysis

  • Scatter Diagrams.
  • Linear Model.
  • Confidence & Prediction Limit

ANALYZE: Multiple Regression

  • Multiple Regression with Attribute Xs.
  • Multivariate Models.
  • Interaction Plots.
  • Interpreting ANOVA Tables.
  • Model Considerations.
  • Stepwise Regression.
  • Residuals Analysis.

ANALYZE: DOE Introduction

  • Terminology
  • DOE vs. Traditional Experiments
  • DOE vs. Historical Data
  • Design Planning.
  • Design Specification.
  • Selecting Factors and Levels.
  • Complete Factorials.
  • Fractional Factorials.
  • Aliasing.
  • Screening Designs.

IMPROVE: DOE Analysis Fundamentals

  • Estimating Effects and Coefficients.
  • Significance Plots.
  • Estimating Error.
  • Extending Designs.
  • Power of Design.

IMPROVE: Design Selection

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

IMPROVE: Tools

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

CONTROL: Tools

  • Control Stage Objectives.
  • Control Plans.
  • Training.
  • Measuring Improvement

CONTROL: Charts

  • X Bar-R, IMR
  • P, np charts.
  • C, u Charts
  • Other types of control charts

Design for Six Sigma Overview

  • Methodology.
  • Tools for DFSS

Customer Reviews


Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.
-Waseem

Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional. I am quite satisfied with the course.
-Tanmoy

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