- Awareness with respect to origin and history of Six Sigma.
- Introduction to Six Sigma as methodology
- The Six Sigma organization
3. What is Quality? 4. Evolution of Quality Historically Proactive Quality Create process that will produce less or no defects Contemporary Reactive Quality Quality Checks (QC) - Taking the defectives out of what is produced 5. Segments in Quality Methodologies Standards Capability Models
Scientific way to improve capability? Sharing Benchmarked practices- Standardizing Best practices to build capability 6. What is Six Sigma?
- It is a methodology for continuous improvement
- It is a methodology for creating products/ processes that perform at high standards
- It is a set of statistical and other quality tools arranged in unique way
- It is a way of knowing where you are and where you could be!
- It is a Quality Philosophy and a management technique
- Another metric like percentage
- The term sigma is used to designate the distribution or spread about the mean (average) of any process or procedure.
- For a process, the sigma capability (z-value) is a metric that indicates how well that process is performing. The higher the sigma capability, the better. Sigma capability measures the capability of the process to produce defect-free outputs. A defect is anything that results in customer dissatisfaction.
Two Meanings of Sigma 8. Path to Six Sigma Sigma levels and Defects per million opportunities (DPMO) 4 Sigma 6,210 Defects 2 Sigma 308,537 Defects 3 Sigma 66,807 Defects 5 Sigma 233 Defects 6 Sigma 3.4 Defects 9. What it means to be @ Six Sigma Example quoted from GE Book of Knowledge -copyright GE Is 99% (3.8 ) good enough? 99.99966% Good At 6 20,000 lost mails per hour 7 lost mails per hour Unsafe drinking water almost 15 minutes each day One minute of unsafe drinking water every seven months 5,000 incorrect surgical operations per week 1.7 incorrect surgical operations per week 2 short or long landings at most major airports daily One short or long landing at major airports every five years 200,000 wrong drug prescriptions each year 68 wrong drug prescriptions each year 10.
- The term Six Sigma was coined by Bill Smith, an engineer with Motorola
- Late 1970s - Motorola started experimenting with problem solving through statistical analysis
- 1987 - Motorola officially launched its Six Sigma program
Origin of Six Sigma Motorola the company that invented Six Sigma 11.
- Jack Welch launched Six Sigma at GE in Jan,1996
- 1998/99 - Green Belt exam certification became the criteria for management promotions
- 2002/03 - Green Beltcertification became the criteria for promotion to management roles
The Growth of Six Sigma GE the company that perfected Six Sigma 12. The GE model for process improvements The Growth of Six Sigma Define Measure Analyze Improve Control Combination of change management & statistical analysis 13. The Growth of Six Sigma 14. BPMS Business Process Management System DMAIC Six Sigma Improvement Methodology DMADOV Creating new process which will perform @ Six Sigma Three Methodologies of Six Sigma 15. BPMS Business Process Management System 16.
- To understand the process; its mission, flow and scope
- To know the customers and their expectations
- To identify, monitor and improve correct performance measures for the process
The Need of BPMS 17. The Methodology Define purpose of the process, its goal and its boundaries Identify Critical to Quality and Critical to process Visual representation of performance Map process steps, identify input/ output measures MSA, DCP, indicators and monitors Service excellence and process excellence The DMAIC cycle Define Process Mission Map Process VOC and VOP Build PMS Develop Dashboards Identify Improvement Opportunities 18. DMAIC Six Sigma Improvement Methodology 19.
- A logical and structured approach to problem solving and process improvement
- An iterative process (continuous improvement)
- A quality tool with focus on change management
What is DMAIC ? E Effectiveness = Q Quality Improvement x A Acceptance 20. The Approach PracticalProblem Statistical Problem StatisticalSolution PracticalSolution 21. D Define M Measure A Analyze I Improve C Control Identify and state the practical problem Validate the practical problem by collecting data Convert the practical problem to a statistical one, define statistical goal and identify potential statistical solution Confirm and test the statistical solution Convert the statistical solution to a practical solution Methodology 22. VoC- Who wants the project and why ? The scope of project / improvement Key team members / resources for the project Critical milestones and stakeholder review Budget allocation Define D Define M Measure A Analyze I Improve C Control 23. Ensure measurement system reliability Prepare data collection plan Collect data - Is tool used to measure the output variable flawed ? - Do all operators interpret the tool reading in the same way ?
- - How many data points do you need to collect ?
- How many days do you need to collect data for ?
- What is the sampling strategy ?
- Who will collect data and how will data get stored ?
- What could the potential drivers of variation be ?
Measure D Define M Measure A Analyze I Improve C Control 24. Understand statistical problem Baseline current process capability Define statistical improvement goal Identify drivers of variation (significant factors) Analyze D Define M Measure A Analyze I Improve C Control 25.
- Root Cause Analysis (fish bone)
- A brainstorming tool that helps define and display major causes, sub causes and root causes that influence a process
- Visualize the potential relationship between causes which may be creating problems or defects
Analyze Identify Drivers of Variation Problem Backbone Primary Cause Secondary Cause Root Cause 26.
- A visual tool that helps in separating the vital few from the trivial many
Control Impact Analyze Identify Drivers of Variation Trivial Many Low Control Low Impact Cost Ineffective High Control Low Impact Cost Ineffective Low Control High Impact Vital Few High Control High Impact 27.
- Pareto principle states that disproportionately large percentage of defects are caused due to relatively fewer factors (generally, 80% defects are caused by 20% factors)
Analyze Identify Drivers of Variation 28.
- Visually highlights hand off points / working relationships between people, processes and organizations
- Helps identify rework loops and non value add steps
Analyze Identify Drivers of Variation 29.
- A statistical tool used to validate if two samples are different or whether a sample belongs to a given population
- Null Hypothesis (H o )is the statement of the status quo
- Alternate Hypothesis (H a )is the statement of difference
Analyze Identify Drivers of Variation One way ANOVA Regression Homogeneity ofVariance Moods Median Chi-Square 30. Map improved process Pilot solution Identify operating tolerance on significant factors Improve D Define M Measure A Analyze I Improve C Control 31. Ensure measurement system reliability for significant factors Improved process capability Sustenance Plan - Is tool used to measure the input / process variables flawed ? - Do all operators interpret the tool reading in the same way ?- Statistical Process Control - Mistake Proofing - Control Plan Control D Define M Measure A Analyze I Improve C Control 32.
- Have the new operating procedures and standards been documented ?
- What Statistical Process Control (SPC) tools will be used to monitor the process performance ?
- Who will review the performance of the output variable and significant factors on closure of the projectand how frequently ?
- What is the corrective action or reaction plan if any of the factors were to be out of control ?
Control Sustenance Plan 33. Six Sigma Organization 34. Six Sigma - Three Dimensions Tools Organization Methodology Driven by customer needs Enabled by quality team. Led bySeniorMgmt Define Measure Analyze Improve Control Process Map Analysis Pareto Chart Process variation LSL USL Upper/Lower specification limits Regression 35. The Quality Team Master Black Belt Black Belt Black Belt Green Belt Green Belt Green Belt - Thought Leadership - Expert on Six Sigma - Mentor Green and Black Belts
- Backbone of Six Sigma Org