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Similaire à Six sigma orntn (20)
Six sigma orntn
- 1. Six sigma
Orientation
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- 2. expectations
•What is Quality?
•Know Six Sigma
•Awareness with respect to origin
and history of Six Sigma.
•The utility and benefits
•Introduction to Six Sigma as
methodology
•The Six Sigma organization
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- 4. Evolution of Quality
Reactive Quality
Proactive Quality
Quality Checks (QC) - Taking the
“Create process that will produce
defectives out of what is produced
less or no defects”
Historically Contemporary
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- 5. Segments in Quality
Methodologies Standards Capability Models
•Six Sigma •ISO 9000, ISO •eSCM
•Lean 14000 etc. •CMM
•COPC •CMMI
•Malcolm Baldrige
Sharing
Scientific way Best practices
Benchmarked
to improve to build
practices-
capability? capability
“Standardizing”
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- 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
Six Sigma is not:
• A standard
• A certification
• Another metric like percentage
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- 7. Two Meanings of Sigma
σ
• 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.
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- 8. Path to Six Sigma
6 Sigma 3.4 Defects
Sigma levels and
Defects per million
opportunities
(DPMO)
5 Sigma 233 Defects
4 Sigma 6,210 Defects
3 Sigma 66,807 Defects
2 Sigma 308,537 Defects
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- 9. What it means to be @ Six Sigma
Is 99% (3.8σ) good enough? 99.99966% Good – At 6σ
20,000 lost mails per hour 7 lost mails per hour
Unsafe drinking water almost 15 One minute of unsafe drinking
minutes each day water every seven months
5,000 incorrect surgical 1.7 incorrect surgical operations
operations per week per week
2 short or long landings at most One short or long landing at major
major airports daily airports every five years
200,000 wrong drug prescriptions 68 wrong drug prescriptions each
each year year
Example quoted from GE Book of Knowledge - copyright GE
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- 10. Origin of Six Sigma
Motorola
the company that invented Six Sigma
• 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 it’s Six Sigma program
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- 11. The Growth of Six Sigma
GE
the company that perfected Six Sigma
• 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 Belt certification became the criteria for promotion to
management roles
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- 12. The Growth of Six Sigma
The GE model for process improvements
Define Measure Analyze Improve Control
Combination of change management & statistical analysis
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- 14. Methodology
D Identify and state the practical problem
Define
Validate the practical problem by collecting data
M
Measure
Convert the practical problem to a statistical one, define
A statistical goal and identify potential statistical solution
Analyze
I Confirm and test the statistical solution
Improve
C Convert the statistical solution to a practical solution
Control
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- 15. Define
D VoC - Who wants the project and why ?
Define
M The scope of project / improvement
Measure
A Key team members / resources for the project
Analyze
I
Critical milestones and stakeholder review
D
Improve
C
Control Budget allocation
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- 16. Measure
D Ensure measurement system reliability
Define
- Is tool used to measure the output variable flawed ?
- Do all operators interpret the tool reading in the same way ?
M
Measure
A Prepare data collection plan
Analyze - How many data points do you need to collect ?
- How many days do you need to collect data for ?
I - What is the sampling strategy ?
Improve - Who will collect data and how will data get stored ?
M
- What could the potential drivers of variation be ?
C
Control Collect data
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- 17. Analyze
D Understand statistical problem
Define
M
Measure Baseline current process capability
A
Analyze
Define statistical improvement goal
I
Improve
C
Control Identify drivers of variation (significant factors) A
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- 18. Analyze – Identify Drivers of Variation
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
Primary Cause
Secondary Cause
Backbone Problem
Root Cause
A
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- 19. Analyze – Identify Drivers of Variation
Control – Impact Matrix
• A visual tool that helps in separating the vital few from the trivial many
Control
Vital Few Cost Ineffective
High Control – High Impact Low Control – High Impact
Impact
Cost Ineffective
High Control – Low Impact
Trivial Many
Low Control – Low Impact A
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- 20. Analyze – Identify Drivers of Variation
Process Map Analysis
• Visually highlights hand off points / working relationships between people,
processes and organizations
• Helps identify rework loops and non value add steps
Customer Process A Process B Vendor
A
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- 21. Analyze – Identify Drivers of Variation
Hypothesis Testing
• A statistical tool used to validate if two samples are different or whether a
sample belongs to a given population
Null Hypothesis (Ho) is the statement of the status quo
Alternate Hypothesis (Ha) is the statement of difference
Homogeneity of One way ANOVA
Variance Moods Median
Chi-Square Regression
A
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- 22. Improve
D Map improved process
Define
M
Measure
Pilot solution
A
Analyze
I
Improve
C
Control
I
Identify operating tolerance on significant factors
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- 23. Control
D
Ensure measurement system reliability for
Define significant factors
- Is tool used to measure the input / process variables flawed ?
- Do all operators interpret the tool reading in the same way ?
M
Measure
Improved process capability
A
Analyze
I
Improve Sustenance Plan
C
Control
- Statistical Process Control
- Mistake Proofing
- Control Plan
C
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- 24. Control – Sustenance Plan
Control Plan
• 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 project and how frequently ?
• What is the corrective action or reaction plan if any of the factors were to be
out of control ?
C
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- 26. Six Sigma - Three Dimensions
Customer Process A Process B Vendor
Define Measure Analyze Improve Control
Driven by
customer
needs
Process Map Analysis
LSL US
L
Methodology
Led by
Senior
Mgmt Upper/Lower
•
specification • ••••
•••••••••••
•
Organization Tools
limits ••••••
•••••
••
Regression
35 100%
30
80%
25
20 60%
15 40%
10
20%
5
Process variation 0 0%
Enabled by quality
L K A F B C G R D
team.
Frequency Cumulative Frequency
Pareto Chart
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- 27. The Quality Team
Master Black Belt - Thought Leadership
- Expert on Six Sigma
- Mentor Green and Black Belts
- Backbone of Six Sigma Org
Black Belt Black Belt - Mentor Green Belts
- Full time resource
- Deployed to complex or “high
risk” projects
Green Belt
Green Belt
- Part time or full time resource
- Deployed to less complex projects
Green Belt
in areas of functional expertise
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- 28. Six Sigma – Career Option!
• Basic - Six Sigma Awareness
• Green Belt Projects
Green Belt (GB) • Participate in Black Belt Projects
• Assist business functions with day to day
activities
• Mentor/Train Green Belts
• Black Belt Projects
Black Belt (BB) • Change Agents
• Work along with the business owners
• Mentor/ Train Black Belts
• Run Strategic projects
Master Black Belt (MBB)
• More Strategic than tactical role
Highly paid!
Work like a Consultant!
Huge demand in the industry!
Overall…A high flying Career!!
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Notes de l'éditeur
- Setting the expectation of audience. Following are the topics which would be covered not necessarily in the same order.