Six Sigma Overview
What Is Six 4. Data analysis and collection tools. ___________________________________________________________ 1. Project
Sigma?
Six Sigma is a project based problem solving approach that focuses on
reducing/preventing defects resulting in increased customer satisfaction and lower costs. Key components
are:
_____________________________________________________________
1. Project Selection
2. People
3. Disciplined project methodology
Selection
Attributes of a good Six Sigma
project:
* Strong tie to business deliverables
* Enhances customer satisfaction and loyalty
* Strategic importance
* Impact on profit (hard and soft benefits)
* Results are visible or easily link to a key
executive metric
* Meaningful results within 6 months (DMAIC only)
*Goals can be quantified and measured
* Project is feasible
* Team can commit time to project
*Potential solutions are relatively low cost
2. Six Sigma
People
* Executive sponsorship
* Clear link between project and critical business goal
* Executive is visible and supportive of team efforts
* Executive breaks down barriers to improvement
* Dedicated
project manager
* Black Belt for large or difficult projects, or projects that require statistical analysis
* Green Belt for a smaller project within her/his team
* Virtual team
*Represents the people directly impacted by
the problem and will be involved in the improvements
* Cross-discipline and cross-group as needed
* Data driven decisions greatly enhance cross-group work
3. Six Sigma Project Methodology
- Design for Six Sigma Methodology: Six Sigma
Toolbox
Green Belt
tools
? Benchmarking
? Brainstorming
? Cause- Effect diagrams
? Critical to Customer Tree
? Data Collection Plan
? FMEA( Failure modes and effect)
? Improvement strategy
?
Interviews/ Precision questioning
? Prioritization matrices
? Project Charter
? Project plan template
? SIPOC- Process flow
? Surveys
? Workflow mapping
Black Belt tools
? Activity analysis
? Affinity diagram
? Data Presentation
? Histogram
? Box Plot
? Line
Graphs
? Run Charts
? Control Charts
? Pareto Chart
? Bar Graphs
? Stacked Bar Graphs
? Pie Charts
? Design of experiments
? Full factorial
? Reduced fractions
? Screening designs
? Hypothesis tests
? t- test
? Paired t-test
? ANOVA
? Chi Square
? Process sigma
? Kano modeling
? Quality Functional Deployment(QFD)
? Regression
? Rolled throughput and final yield
? Sampling
? Stratification
Project Best Practices
* Projects impact the business scorecard, key initiative, lowlights
* Executive sponsor status updates at the end of each project phase
* Weekly updates with Business Process owner and team
* Dedicated resources (Black/Greenbelts) to manage the
project
* Detailed project plans developed and communicated to team and sponsors







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