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Introduction to
SIX - SIGMA
Presented by :
http://www.QualityGurus.com
QualityGurus.com
Purpose of six sigma :
To make customer happier and increase profits
Introduction to Six Sigma
QualityGurus.com
Origin of Six Sigma
1987 Motorola Develops Six Sigma
Raised Quality Standards
Other Companies Adopt Six Sigma
GE
Promotions, Profit Sharing (Stock Options), etc.
directly tied to Six Sigma training.
Dow Chemical, DuPont, Honeywell, Whirlpool
QualityGurus.com
Time Line
2002
1995
1992
1987
1985
Dr Mikel J Harry wrote a
Paper relating early failures to
quality
Motorola
Allied Signal
General Electric
Johnson & Johnson,
Ford, Nissan,
Honeywell
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Width of landing
strip 1/2 Width
of landing
strip
If pilot always lands
within 1/2 the landing strip
width, we say that he has
Six-sigma capability.
Pilot’s Six-Sigma
Performance
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Current Leadership Challenges
Delighting Customers.
Reducing Cycle Times.
Keeping up with Technology Advances.
Retaining People.
Reducing Costs.
Responding More Quickly.
Structuring for Flexibility.
Growing Overseas Markets.
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Six Sigma— Benefits?
Generated sustained success
Project selection tied to organizational
strategy
Customer focused
Profits
Project outcomes / benefits tied to
financial reporting system.
Full-time Black Belts in a rigorous,
project-oriented method.
Recognition and reward system
established to provide motivation.
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Management involvement?
Executives and upper management drive
the effort through:
Understanding Six Sigma
Significant financial commitments
Actively selecting projects tied to strategy
Setting up formal review process
Selecting Champions
Determining strategic measures
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Key issues for Leadership:
How will leadership organize to support Six
Sigma ? (6  council, Director 6 , etc)
Transition rate to achieve 6 .
Level of resource commitment.
Centralized or decentralized approach.
Integration with current initiatives e.g. QMS
How will the progress be monitored?
Management Involvement?
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What can it do?
Motorola:
5-Fold growth in Sales
Profits climbing by 20% pa
Cumulative savings of $14 billion over
11 years
General Electric:
$2 billion savings in just 3 years
The no.1 company in the USA
Bechtel Corporation:
$200 million savings with investment of
$30 million
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GE Six Sigma Economics
1996 1998 2000
2002
0
500
1000
1500
2000
2500
1996
Cost
Benefit
(in millions)
Source: 1998 GE Annual Report, Jack Welch Letter to Share Owners and Employees - progress based upon
total corporation cost/benefits attributable to Six Sigma.
6 Sigma Project Progress
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PAIN, URGENCY, SURVIVAL
COSTS OUT
GROWTH
TRANSFORM THE
ORGANIZATION
CHANGE
THE
WORLD
6 SIGMA AS A
STATISTICAL TOOL
6 SIGMA AS A
PHILOSOPHY
6 SIGMA AS
A PROCESS
Overview of Six
Sigma
QualityGurus.com
Overview of Six
Sigma
It is a Philosophy
Anything less than ideal is
an opportunity for
improvement
Defects costs money
Understanding processes
and improving them is the
most efficient way to
achieve lasting results
It is a Process
To achieve this level of
performance you need to:
Define, Measure, Analyse,
Improve and Control
It is Statistics
6 Sigma processes will
produce less than 3.4
defects per million
opportunities
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Philosophy
Know What’s Important
to the Customer (CTQ)
Reduce Defects
(DPMO)
Center Around Target
(Mean)
Reduce Variation
(Standard Deviation)
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Critical Elements
Genuine Focus on the Customer
Data and Fact Driven Management
Process Focus
Proactive management
Boundary-less Collaboration
Drive for Perfection; Tolerance for failure
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Data Driven
Decision
• Y
• Dependent
• Output
• Effect
• Symptom
• Monitor
• X1 . . . Xn
• Independent
• Input-Process
• Cause
• Problem
• Control
f(X)
Y=
The focus of Six sigma is to identify and control Xs
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Two Processes
• Define
• Measure
• Analyze
• Improve
• Control
• Define
• Measure
• Analyze
• Design
• Verify
DMAIC DMADV
• Existing Processes • New Processes
• DFSS
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Key Concepts
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COPQ (Cost of Poor
Quality)
- Lost Opportunities
- The Hidden Factory
- More Setups
- Expediting Costs
- Lost Sales
- Late Delivery
- Lost Customer Loyalty
- Excess Inventory
- Long Cycle Times
- Costly Engineering Changes
Average COPQ approximately 15% of Sales
Hidden Costs:
- Intangible
- Difficult to Measure
Traditional Quality Costs:
- Tangible
- Easy to Measure
- Inspection
- Warranty
- Scrap
- Rework
- Rejects
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0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
2 3 4 5 6
Cost
of
Quality
%
Sales
Sigma Level
COPQ v/s Sigma
Level
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CTQ (Critical-To-
Quality)
CTQ characteristics for the process,
service or process
Measure of “What is important to
Customer”
6 Sigma projects are designed to improve
CTQ
Examples:
Waiting time in clinic
Spelling mistakes in letter
% of valves leaking in operation
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Defective and Defect
A nonconforming unit is a defective unit
Defect is nonconformance on one of many
possible quality characteristics of a unit that
causes customer dissatisfaction.
A defect does not necessarily make the unit
defective
Examples:
Scratch on water bottle
(However if customer wants a scratch free bottle, then
this will be defective bottle)
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Defect Opportunity
Circumstances in which CTQ can fail to
meet.
Number of defect opportunities relate to
complexity of unit.
Complex units – Greater opportunities of
defect than simple units
Examples:
A units has 5 parts, and in each part there are 3
opportunities of defects – Total defect opportunities
are 5 x 3 = 15
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DPO (Defect Per
Opportunity)
Number of defects divided by number of
defect opportunities
Examples:
In previous case (15 defect opportunities), if 10 units
have 2 defects.
Defects per unit = 2 / 10 = 0.2
DPO = 2 / (15 x 10) = 0.0133333
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DPMO (Defect Per Million
Opportunities)
DPO multiplies by one million
Examples:
In previous case (15 defect opportunities), if 10 units
have 2 defects.
Defects per unit = 2 / 10 = 0.2
DPO = 2 / (15 x 10) = 0.0133333
DPMO = 0.013333333 x 1,000,000 = 13,333
Six Sigma performance is 3.4 DPMO
13,333 DPMO is 3.7 Sigma
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Yield
Proportion of units within specification
divided by the total number of units.
Examples:
If 10 units have 2 defectives
Yield = (10 – 2) x 100 /10 = 80 %
Rolled Through Yield (RTY)
Y1 x Y2 x Y3 x ……. x Yn
E.g 0.90 x 0.99 x 0.76 x 0.80 = 0.54
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Forms of Waste
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What are the forms of
waste?
1. Waste of Correction
2. Waste of Overproduction
3. Waste of processing
4. Waste of conveyance (or transport)
5. Waste of inventory
6. Waste of motion
7. Waste of waiting
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1. Waste of correction
Repairing a defect wastes time and
resources (Hidden factory)
Operation
1
Test Test Product
Operation
2
Failure
Investigation
Rework
Failure
Investigation
Rework
Hidden
Factory
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2. Waste of
Overproduction
Producing more than necessary or
producing at faster rate than required
Excess labor, space, money, handling
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3. Waste of processing
Processing that does not provide value to
the product
Excess level of approvals
Tying memos that could be handwritten
Cosmetic painting on internals of equipment
Paint thickness more than specific values
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4. Waste of conveyance
Unnecessary movement of material from
one place to other to be minimized
because -
It adds to process time
Goods might get damaged
Convey material and information ONLY
when and where it is needed.
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5. Waste of inventory
Any excess inventory is drain on an
organization.
Impact on cash flow
Increased overheads
Covers Quality and process issues
Examples
Spares, brochures, stationary, …
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6. Waste of Motion
Any movement of people, equipment,
information that does not contribute value
to product or service
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7. Waste of Waiting
Idle time between operations
Period of inactivity in a downstream
process because an upstream activity does
not deliver on time.
Downstream resources are then often used
in activities that do not add value, or worst
result in overproduction.
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Some more sources of
Waste
Waste of untapped human potential.
Waste of inappropriate systems
Wasted energy and water
Wasted materials
Waste of customer time
Waste of defecting customers
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What is Sigma?
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Have you ever…
Shot a rifle?
Played darts?
What is the point of these sports?
What makes them hard?
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Jack
Jill
Who is the better shooter?
Have you ever…
Shot a rifle?
Played darts?
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Variability
Deviation = distance between
observations and the mean (or
average)
Observations Deviations
10 10 - 8.4 = 1.6
9 9 - 8.4 = 0.6
8 8 - 8.4 = -0.4
8 8 - 8.4 = -0.4
7 7 - 8.4 = -1.4
averages 8.4 0.0
Jack
8
7
10
8
9
Jill
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Deviation = distance between
observations and the mean (or
average)
Observations Deviations
7 7 - 6.6 = 0.4
7 7 - 6.6 = 0.4
7 7 - 6.6 = 0.4
6 6 - 6.6 = -0.6
6 6 - 6.6 = -0.6
averages 6.6 0.0
Jack
Jill
7
6
7
7
6
Variability
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Variance = average distance
between observations and the
mean squared
Observations Deviations
10 10 - 8.4 = 1.6
9 9 – 8.4 = 0.6
8 8 – 8.4 = -0.4
8 8 – 8.4 = -0.4
7 7 – 8.4 = -1.4
average
s 8.4 0.0
Squared Deviations
2.56
0.36
0.16
0.16
1.96
1.0
Variance
Jack
8
7
10
8
9
Jill
Variability
QualityGurus.com
Variance = average distance
between observations and the
mean squared
Observations Deviations
7 7 - 6.6 = 0.4
7 7 - 6.6 = 0.4
7 7 - 6.6 = 0.4
6 6 – 6.6 = -0.6
6 6 – 6.6 = -0.6
average
s 6.6 0.0
Squared Deviations
0.16
0.16
0.16
0.36
0.36
0.24
Variance
Jack
Jill
7
6
7
7
6
Variability
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Variability
Standard deviation =
square root of
variance
Jack
Jill
Average Variance Standard
Deviation
Jack 8.4 1.0 1.0
Jill 6.6 0.24 0.4898979
But what good is a standard deviation
QualityGurus.com
The world tends to
be bell-shaped
Most
outcomes
occur in the
middle
Fewer
in the
“tails”
(lower)
Fewer
in the
“tails”
(upper)
Even very rare
outcomes are
possible
Even very rare
outcomes are
possible
Variability
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Add up the dots on the dice
0
0.05
0.1
0.15
0.2
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Sum of dots
Probability
1 die
2 dice
3 dice
Here is why: Even outcomes that are equally
likely (like dice), when you add
them up, become bell shaped
Variability
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Normal distributions are divide up
into 3 standard deviations on
each side of the mean
Once your that, you
know a lot about
what is going on
And that is what a standard deviation
is good for
“Normal” bell shaped curve
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Causes of Variability
Common Causes:
Random variation within predictable range (usual)
No pattern
Inherent in process
Adjusting the process increases its variation
Special Causes
Non-random variation (unusual)
May exhibit a pattern
Assignable, explainable, controllable
Adjusting the process decreases its variation
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Limits
Process and Control limits:
Statistical
Process limits are used for individual items
Control limits are used with averages
Limits = μ ± 3σ
Define usual (common causes) & unusual (special
causes)
Specification limits:
Engineered
Limits = target ± tolerance
Define acceptable & unacceptable
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Usual v/s Unusual,
Acceptable v/s Defective
Another View
LSL USL USL
LSL
Off-Target Large Variation
On-Target
Center
Process
Reduce
Spread
The statistical view of a problem
USL
LSL LSL = Lower spec limit
USL = Upper spec limit
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More about limits
Good quality:
defects are
rare (Cpk>1)
Poor quality:
defects are
common (Cpk<1)
Cpk measures “Process Capability”
If process limits and control limits are at the same location, Cpk = 1. Cpk ≥ 2 is exceptional.
μ
target
μ
target
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Process capability
Good quality: defects are rare (Cpk>1)
Poor quality: defects are common (Cpk<1)
Cpk = min
USL – x
3σ
=
x - LSL
3σ
=
3σ = (UPL – x, or x – LPL)
= =
14 20 26
15 24
24 – 20
3(2)
= =.667
20 – 15
3(2)
= =.833
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1 12
2 3 4 5 6 7 8 9 10 11
1
 1
 1
 1
 1
1

6
LSL USL
+6
-6
A Six Sigma Process –
Predictably twice as good as what the
customer wants
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3  v/s 6 
2 3 4 5 6 7 8 9 12
10 16
15
14
13
11
1
LSL USL
6 Sigma curve
3 Sigma curve
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Process shift
allowed
2 3 4 5 6 7 8 9 12
10 16
15
14
13
11
1
LSL USL
SD = 1
1.5 SD 1.5 SD
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Six Sigma
Measurement
3
4
5
6
7
66810
6210
233
3.4
0.02
Sigma
DPMO
On one condition :
Calculate the defects
and estimate the
opportunities in the
same way...
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Six Sigma
Measurement
0
100,000
200,000
300,000
400,000
500,000
600,000
1.5 2.5 3.5 4.5 5.5
# of Sigmas
#
of
Defect
per
Million
Sigma Defects
numbers per million
1.5s 500,000
2.0s 308,300
2.5s 158,650
3.0s 67,000
3.5s 22,700
4.0s 6,220
4.5s 1,350
5.0s 233
5.5s 32
6.0s 3.4
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Components of Six Sigma
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Components
Two components of Six Sigma
1. Process Power
2. People Power
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Process Power
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P-D-C-A
P
D
C
A
Plan
Do
Check
Act
Act on what
was learned
Check the results
Plan the change
Implement the
change on a small
scale.
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Approach
Practical
Problem
Statistical
Problem
Statistical
Solution
Practical
Solution
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DMAIC - simplified
Define
What is important?
Measure
How are we doing?
Analyze
What is wrong?
Improve
Fix what’s wrong
Control
Ensure gains are maintained
to guarantee performance
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DMAIC approach
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
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Define
D
Define
M
Measure
A
Analyze
I
Improve
C
Control
VoC - Who wants the project and why ?
The scope of project / improvement (SMART Objective)
Key team members / resources for the project
Critical milestones and stakeholder review
Budget allocation
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Measure
Ensure measurement system reliability
Prepare data collection plan
Collect data
- Is tool used to measure the output variable flawed ?
- 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 ?
D
Define
M
Measure
A
Analyze
I
Improve
C
Control
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Analyze
How well or poorly processes are working compared with
- Best possible (Benchmarking)
- Competitor’s
Shows you maximum possible result
Don’t focus on symptoms, find the root cause
D
Define
M
Measure
A
Analyze
I
Improve
C
Control
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Improve
Present recommendations to process owner.
Pilot run
- Formulate Pilot run.
- Test improved process (run pilot).
- Analyze pilot and results.
Develop implementation plan.
- Prepare final presentation.
- Present final recommendation to Management Team.
D
Define
M
Measure
A
Analyze
I
Improve
C
Control
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Control
Don’t be too hasty to declare victory.
How will you maintain to gains made?
- Change policy & procedures
- Change drawings
- Change planning
- Revise budget
- Training
D
Define
M
Measure
A
Analyze
I
Improve
C
Control
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Omitting a step in
DMAIC?
Step Consequences if the step is
omitted
1. Define
2. Measure
3. Analyze
4. Improve
5. Control
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 Benchmark
 Baseline
 Contract / Charter
 Kano Model
 Voice of the
Customer
 Quality Function
Deployment
 Process Flow Map
 Project
Management
 “Management by
Fact” – 4 What’s
 7 Basic Tools
 Defect Metrics
 Data Collection,
Forms, Plan,
Logistics
 Sampling
Techniques
 Cause & Effect
Diagrams
 Failure Models &
 Effect Analysis
 Decision & Risk
Analysis
 Statistical Inference
 Control Charts
 Capability
 Reliability Analysis
 Root Cause
Analysis
 5 Why’s
 Systems Thinking
 Design of
Experiments
 Modelling
 Tolerancing
 Robust Design
 Process Map
Statistical Controls
 Control Charts
 Time Series
Methods
Non Statistical
Controls
 Procedure
adherence
 Performance
Mgmt
 Preventive activities
 Poke yoke
Define
What is wrong?
Measure
Data & Process
capability
Analyze
When and where
are the defects
Improve
How to get
to six sigma
Control
Display
key measures
Tools for DMAIC
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Components
Two components of Six Sigma
1. Process Power
2. People Power
Tell me, I forget. Show me , I remember. Involve me, I understand.
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Master
Black
Belt
Black Belts
Green Belts
Team Members /
Yellow Belts
Champions
Mentor, trainer, and coach of Black Belts and others
in the organization.
Leader of teams implementing the six sigma
methodology on projects.
Delivers successful focused projects using
the six sigma methodology and tools.
Participates on and supports the
project teams, typically in the
context of his or her existing
responsibilities.
6  Training
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Six Sigma
Organization
Champion
Black
Belt
Black
Belt
Black
Belt
Green
Belt
Green
Belt
Green
Belt
Green
Belt
Green
Belt
Yellow
Belt
Yellow
Belt
Yellow
Belt
Yellow
Belt
Master
Black
Belt
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Senior
Executives
Champions /
Process owners
Black-Belt
Green Belt
Employees
(Yellow-Belt)
Executive overview
2/3 Days Provide Leadership
Champions
Training - I
2 days
Champions
Training –II
3 days
Process Mgmt. &
Project
champion
Week
2
Week
3
Week
4
Training /
Facilitation
skills
Project-work
Master Black-Belt
-As Trainer
-Coach teams
-Facilitate
improvement projects
1 Week Green-Belt Training
- Part of project teams
- Sometime lead the
teams
1 / 2 Days core training on
Six-Sigma
- General process
control &
improvement
- Project Team
Member
Black-Belt
Project work
Position in Six Sigma
Organisation
Typical Training Expected Role
Post Training
+
(Total 5 days)
6  Training
Week
1
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Champion
Plans improvement projects
Charters or champions chartering process
Identifies, sponsors and directs Six Sigma
projects
Holds regular project reviews in
accordance with project charters
Includes Six Sigma requirements in
expense and capital budgets
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Champion
Identifies and removes organizational and
cultural barriers to Six Sigma success.
Rewards and recognizes team and
individual accomplishments (formally and
informally)
Communicates leadership vision
Monitors and reports Six Sigma progress
Validates Six Sigma project results
Nominates highly qualified Black Belt
and/or Green Belt candidates
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Master Black Belt
Roles Responsibilities
-Enterprise Six Sigma expert
-Permanent full-time change
agent
-Certified Black Belt with
additional specialized skills or
experience especially useful in
deployment of Six Sigma
across the enterprise
- Highly proficient in using Six
Sigma methodology to achieve tangible
business results.
-Technical expert beyond Black Belt level
on one or more aspects of process
improvement (e.g., advanced statistical
analysis, project management,
communications, program administration,
teaching, project coaching)
-Identifies high-leverage opportunities for
applying the Six Sigma approach across
the enterprise
-Basic Black Belt training
-Green Belt training
-Coach / Mentor Black Belts
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Roles Responsibilities
- Six Sigma technical expert
- Temporary, full-time change
agent (will return to other duties
after completing a two to three
year tour of duty as a Black
Belt)
- Leads business process improvement
projects where Six Sigma approach is
indicated.
- Successfully completes high-impact
projects that result in tangible benefits
to the enterprise
- Demonstrated mastery of Black Belt
body of knowledge
- Demonstrated proficiency at achieving
results through the application of the
Six Sigma approach
- Coach / Mentor Green Belts
- Recommends Green Belts for
Certification
Black Belt
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Green Belt
Roles Responsibilities
- Six Sigma Project originator
- Part-time Six Sigma change
agent. Continues to perform
normal duties while participating
on Six Sigma project teams
- Six Sigma champion in local
area
- Recommends Six Sigma projects
- Participates on Six Sigma project
teams
- Leads Six Sigma teams in local
improvement projects
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Yellow Belt
Roles Responsibilities
- Learns and applies Six Sigma
tools to projects
- Actively participates in team tasks
- Communicates well with other team
members
- Demonstrates basic improvement tool
knowledge
- Accepts and executes assignments as
determined by team
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Financial Analyst
Validates the baseline status for each
project.
Validates the sustained results / savings
after completion of the project.
Compiles overall investment vs. benefits
on Six Sigma for management reporting.
Will usually be the part of Senior
Leadership Team.
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Thought of the day
We don't know what we don't know
We can't act on what we don't know
We won't know until we search
We won't search for what we don't
question
We don't question what we don't measure
Hence, We just don't know
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Project Selection
The first step to implement Six Sigma
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Sources of Projects
External Sources:
Voice of Customer
What are we falling short of meeting customer
needs?
What are the new needs of customers?
Voice of Market
What are market trends, and are we ready to
adapt?
Voice of Competitors
What are we behind our competitors?
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Sources of Projects
Internal Sources:
Voice of Process
Where are the defects, repairs, reworks?
What are the major delays?
What are the major wastes?
Voice of Employee
What concerns or ideas have employees or
managers raised?
What are we behind our competitors?
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As a team List down at least 20 improvement
projects related to your work areas …….
A Problem Statement should be SMART:
 Specific - It does not solve world hunger
 Measurable - It has a way to measure success
 Achievable - It is possible to be successful
 Relevant - It has an impact that can be
quantified
 Timely - It is near term not off in the future
Project Selection
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Harvesting the Fruit of Six
Sigma
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Sweet Fruit
Design for Repeatability
Bulk of Fruit
Process Characterization
and Optimization
Low Hanging Fruit
Seven Basic Tools
Ground Fruit
Logic and Intuition
Process Enhancement
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Types of Savings
Hard Savings:
Cost Reduction
Energy Saving
Raw Material saving
Reduced Rejection, Waste, Repair
Revenue Enhancement
Increased production
Yield Improvement
Quality Improvement
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Hard Savings:
Cash flow improvement
Reduced cash tied up in inventory
Reduced late receivables, early payables
Reduced cycle time
Cost and Capital avoidance
Optimizing the current system / resources
Reduced maintenance costs
Types of Savings
QualityGurus.com
Soft Savings:
Customer Satisfaction / Loyalty
Employee Satisfaction
Types of Savings
QualityGurus.com
Cost of implementing
Direct Payroll
Full time (Black Belts, Master Black Belts)
Indirect Payroll
Time by executives, team members, data
collection
Training and Consulting
Black Belt course, Overview for Mgmt etc.
Improvement Implementation Costs
Installing new solution, IT driven solutions
etc.
QualityGurus.com
What Qualifies as a
Six Sigma Project
Three basic qualifications:
-There is a gap between current and desired
/ needed performance.
The cause of problem is not clearly
understood.
The solution is not pre-determined, nor is
the optimal solution apparent.
How many projects out of 20 now
qualify as Six sigma projects?
QualityGurus.com
Way forward
Get Started
Look for low hanging fruits
Even poor usage of these tools will get
results
Learn more about Six Sigma

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introtosixsigma.ppt

  • 1. Introduction to SIX - SIGMA Presented by : http://www.QualityGurus.com
  • 2. QualityGurus.com Purpose of six sigma : To make customer happier and increase profits Introduction to Six Sigma
  • 3. QualityGurus.com Origin of Six Sigma 1987 Motorola Develops Six Sigma Raised Quality Standards Other Companies Adopt Six Sigma GE Promotions, Profit Sharing (Stock Options), etc. directly tied to Six Sigma training. Dow Chemical, DuPont, Honeywell, Whirlpool
  • 4. QualityGurus.com Time Line 2002 1995 1992 1987 1985 Dr Mikel J Harry wrote a Paper relating early failures to quality Motorola Allied Signal General Electric Johnson & Johnson, Ford, Nissan, Honeywell
  • 5. QualityGurus.com Width of landing strip 1/2 Width of landing strip If pilot always lands within 1/2 the landing strip width, we say that he has Six-sigma capability. Pilot’s Six-Sigma Performance
  • 6. QualityGurus.com Current Leadership Challenges Delighting Customers. Reducing Cycle Times. Keeping up with Technology Advances. Retaining People. Reducing Costs. Responding More Quickly. Structuring for Flexibility. Growing Overseas Markets.
  • 7. QualityGurus.com Six Sigma— Benefits? Generated sustained success Project selection tied to organizational strategy Customer focused Profits Project outcomes / benefits tied to financial reporting system. Full-time Black Belts in a rigorous, project-oriented method. Recognition and reward system established to provide motivation.
  • 8. QualityGurus.com Management involvement? Executives and upper management drive the effort through: Understanding Six Sigma Significant financial commitments Actively selecting projects tied to strategy Setting up formal review process Selecting Champions Determining strategic measures
  • 9. QualityGurus.com Key issues for Leadership: How will leadership organize to support Six Sigma ? (6  council, Director 6 , etc) Transition rate to achieve 6 . Level of resource commitment. Centralized or decentralized approach. Integration with current initiatives e.g. QMS How will the progress be monitored? Management Involvement?
  • 10. QualityGurus.com What can it do? Motorola: 5-Fold growth in Sales Profits climbing by 20% pa Cumulative savings of $14 billion over 11 years General Electric: $2 billion savings in just 3 years The no.1 company in the USA Bechtel Corporation: $200 million savings with investment of $30 million
  • 11. QualityGurus.com GE Six Sigma Economics 1996 1998 2000 2002 0 500 1000 1500 2000 2500 1996 Cost Benefit (in millions) Source: 1998 GE Annual Report, Jack Welch Letter to Share Owners and Employees - progress based upon total corporation cost/benefits attributable to Six Sigma. 6 Sigma Project Progress
  • 12. QualityGurus.com PAIN, URGENCY, SURVIVAL COSTS OUT GROWTH TRANSFORM THE ORGANIZATION CHANGE THE WORLD 6 SIGMA AS A STATISTICAL TOOL 6 SIGMA AS A PHILOSOPHY 6 SIGMA AS A PROCESS Overview of Six Sigma
  • 13. QualityGurus.com Overview of Six Sigma It is a Philosophy Anything less than ideal is an opportunity for improvement Defects costs money Understanding processes and improving them is the most efficient way to achieve lasting results It is a Process To achieve this level of performance you need to: Define, Measure, Analyse, Improve and Control It is Statistics 6 Sigma processes will produce less than 3.4 defects per million opportunities
  • 14. QualityGurus.com Philosophy Know What’s Important to the Customer (CTQ) Reduce Defects (DPMO) Center Around Target (Mean) Reduce Variation (Standard Deviation)
  • 15. QualityGurus.com Critical Elements Genuine Focus on the Customer Data and Fact Driven Management Process Focus Proactive management Boundary-less Collaboration Drive for Perfection; Tolerance for failure
  • 16. QualityGurus.com Data Driven Decision • Y • Dependent • Output • Effect • Symptom • Monitor • X1 . . . Xn • Independent • Input-Process • Cause • Problem • Control f(X) Y= The focus of Six sigma is to identify and control Xs
  • 17. QualityGurus.com Two Processes • Define • Measure • Analyze • Improve • Control • Define • Measure • Analyze • Design • Verify DMAIC DMADV • Existing Processes • New Processes • DFSS
  • 19. QualityGurus.com COPQ (Cost of Poor Quality) - Lost Opportunities - The Hidden Factory - More Setups - Expediting Costs - Lost Sales - Late Delivery - Lost Customer Loyalty - Excess Inventory - Long Cycle Times - Costly Engineering Changes Average COPQ approximately 15% of Sales Hidden Costs: - Intangible - Difficult to Measure Traditional Quality Costs: - Tangible - Easy to Measure - Inspection - Warranty - Scrap - Rework - Rejects
  • 20. QualityGurus.com 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 2 3 4 5 6 Cost of Quality % Sales Sigma Level COPQ v/s Sigma Level
  • 21. QualityGurus.com CTQ (Critical-To- Quality) CTQ characteristics for the process, service or process Measure of “What is important to Customer” 6 Sigma projects are designed to improve CTQ Examples: Waiting time in clinic Spelling mistakes in letter % of valves leaking in operation
  • 22. QualityGurus.com Defective and Defect A nonconforming unit is a defective unit Defect is nonconformance on one of many possible quality characteristics of a unit that causes customer dissatisfaction. A defect does not necessarily make the unit defective Examples: Scratch on water bottle (However if customer wants a scratch free bottle, then this will be defective bottle)
  • 23. QualityGurus.com Defect Opportunity Circumstances in which CTQ can fail to meet. Number of defect opportunities relate to complexity of unit. Complex units – Greater opportunities of defect than simple units Examples: A units has 5 parts, and in each part there are 3 opportunities of defects – Total defect opportunities are 5 x 3 = 15
  • 24. QualityGurus.com DPO (Defect Per Opportunity) Number of defects divided by number of defect opportunities Examples: In previous case (15 defect opportunities), if 10 units have 2 defects. Defects per unit = 2 / 10 = 0.2 DPO = 2 / (15 x 10) = 0.0133333
  • 25. QualityGurus.com DPMO (Defect Per Million Opportunities) DPO multiplies by one million Examples: In previous case (15 defect opportunities), if 10 units have 2 defects. Defects per unit = 2 / 10 = 0.2 DPO = 2 / (15 x 10) = 0.0133333 DPMO = 0.013333333 x 1,000,000 = 13,333 Six Sigma performance is 3.4 DPMO 13,333 DPMO is 3.7 Sigma
  • 26. QualityGurus.com Yield Proportion of units within specification divided by the total number of units. Examples: If 10 units have 2 defectives Yield = (10 – 2) x 100 /10 = 80 % Rolled Through Yield (RTY) Y1 x Y2 x Y3 x ……. x Yn E.g 0.90 x 0.99 x 0.76 x 0.80 = 0.54
  • 28. QualityGurus.com What are the forms of waste? 1. Waste of Correction 2. Waste of Overproduction 3. Waste of processing 4. Waste of conveyance (or transport) 5. Waste of inventory 6. Waste of motion 7. Waste of waiting
  • 29. QualityGurus.com 1. Waste of correction Repairing a defect wastes time and resources (Hidden factory) Operation 1 Test Test Product Operation 2 Failure Investigation Rework Failure Investigation Rework Hidden Factory
  • 30. QualityGurus.com 2. Waste of Overproduction Producing more than necessary or producing at faster rate than required Excess labor, space, money, handling
  • 31. QualityGurus.com 3. Waste of processing Processing that does not provide value to the product Excess level of approvals Tying memos that could be handwritten Cosmetic painting on internals of equipment Paint thickness more than specific values
  • 32. QualityGurus.com 4. Waste of conveyance Unnecessary movement of material from one place to other to be minimized because - It adds to process time Goods might get damaged Convey material and information ONLY when and where it is needed.
  • 33. QualityGurus.com 5. Waste of inventory Any excess inventory is drain on an organization. Impact on cash flow Increased overheads Covers Quality and process issues Examples Spares, brochures, stationary, …
  • 34. QualityGurus.com 6. Waste of Motion Any movement of people, equipment, information that does not contribute value to product or service
  • 35. QualityGurus.com 7. Waste of Waiting Idle time between operations Period of inactivity in a downstream process because an upstream activity does not deliver on time. Downstream resources are then often used in activities that do not add value, or worst result in overproduction.
  • 36. QualityGurus.com Some more sources of Waste Waste of untapped human potential. Waste of inappropriate systems Wasted energy and water Wasted materials Waste of customer time Waste of defecting customers
  • 38. QualityGurus.com Have you ever… Shot a rifle? Played darts? What is the point of these sports? What makes them hard?
  • 39. QualityGurus.com Jack Jill Who is the better shooter? Have you ever… Shot a rifle? Played darts?
  • 40. QualityGurus.com Variability Deviation = distance between observations and the mean (or average) Observations Deviations 10 10 - 8.4 = 1.6 9 9 - 8.4 = 0.6 8 8 - 8.4 = -0.4 8 8 - 8.4 = -0.4 7 7 - 8.4 = -1.4 averages 8.4 0.0 Jack 8 7 10 8 9 Jill
  • 41. QualityGurus.com Deviation = distance between observations and the mean (or average) Observations Deviations 7 7 - 6.6 = 0.4 7 7 - 6.6 = 0.4 7 7 - 6.6 = 0.4 6 6 - 6.6 = -0.6 6 6 - 6.6 = -0.6 averages 6.6 0.0 Jack Jill 7 6 7 7 6 Variability
  • 42. QualityGurus.com Variance = average distance between observations and the mean squared Observations Deviations 10 10 - 8.4 = 1.6 9 9 – 8.4 = 0.6 8 8 – 8.4 = -0.4 8 8 – 8.4 = -0.4 7 7 – 8.4 = -1.4 average s 8.4 0.0 Squared Deviations 2.56 0.36 0.16 0.16 1.96 1.0 Variance Jack 8 7 10 8 9 Jill Variability
  • 43. QualityGurus.com Variance = average distance between observations and the mean squared Observations Deviations 7 7 - 6.6 = 0.4 7 7 - 6.6 = 0.4 7 7 - 6.6 = 0.4 6 6 – 6.6 = -0.6 6 6 – 6.6 = -0.6 average s 6.6 0.0 Squared Deviations 0.16 0.16 0.16 0.36 0.36 0.24 Variance Jack Jill 7 6 7 7 6 Variability
  • 44. QualityGurus.com Variability Standard deviation = square root of variance Jack Jill Average Variance Standard Deviation Jack 8.4 1.0 1.0 Jill 6.6 0.24 0.4898979 But what good is a standard deviation
  • 45. QualityGurus.com The world tends to be bell-shaped Most outcomes occur in the middle Fewer in the “tails” (lower) Fewer in the “tails” (upper) Even very rare outcomes are possible Even very rare outcomes are possible Variability
  • 46. QualityGurus.com Add up the dots on the dice 0 0.05 0.1 0.15 0.2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Sum of dots Probability 1 die 2 dice 3 dice Here is why: Even outcomes that are equally likely (like dice), when you add them up, become bell shaped Variability
  • 47. QualityGurus.com Normal distributions are divide up into 3 standard deviations on each side of the mean Once your that, you know a lot about what is going on And that is what a standard deviation is good for “Normal” bell shaped curve
  • 48. QualityGurus.com Causes of Variability Common Causes: Random variation within predictable range (usual) No pattern Inherent in process Adjusting the process increases its variation Special Causes Non-random variation (unusual) May exhibit a pattern Assignable, explainable, controllable Adjusting the process decreases its variation
  • 49. QualityGurus.com Limits Process and Control limits: Statistical Process limits are used for individual items Control limits are used with averages Limits = μ ± 3σ Define usual (common causes) & unusual (special causes) Specification limits: Engineered Limits = target ± tolerance Define acceptable & unacceptable
  • 50. QualityGurus.com Usual v/s Unusual, Acceptable v/s Defective Another View LSL USL USL LSL Off-Target Large Variation On-Target Center Process Reduce Spread The statistical view of a problem USL LSL LSL = Lower spec limit USL = Upper spec limit
  • 51. QualityGurus.com More about limits Good quality: defects are rare (Cpk>1) Poor quality: defects are common (Cpk<1) Cpk measures “Process Capability” If process limits and control limits are at the same location, Cpk = 1. Cpk ≥ 2 is exceptional. μ target μ target
  • 52. QualityGurus.com Process capability Good quality: defects are rare (Cpk>1) Poor quality: defects are common (Cpk<1) Cpk = min USL – x 3σ = x - LSL 3σ = 3σ = (UPL – x, or x – LPL) = = 14 20 26 15 24 24 – 20 3(2) = =.667 20 – 15 3(2) = =.833
  • 53. QualityGurus.com 1 12 2 3 4 5 6 7 8 9 10 11 1  1  1  1  1 1  6 LSL USL +6 -6 A Six Sigma Process – Predictably twice as good as what the customer wants
  • 54. QualityGurus.com 3  v/s 6  2 3 4 5 6 7 8 9 12 10 16 15 14 13 11 1 LSL USL 6 Sigma curve 3 Sigma curve
  • 55. QualityGurus.com Process shift allowed 2 3 4 5 6 7 8 9 12 10 16 15 14 13 11 1 LSL USL SD = 1 1.5 SD 1.5 SD
  • 56. QualityGurus.com Six Sigma Measurement 3 4 5 6 7 66810 6210 233 3.4 0.02 Sigma DPMO On one condition : Calculate the defects and estimate the opportunities in the same way...
  • 57. QualityGurus.com Six Sigma Measurement 0 100,000 200,000 300,000 400,000 500,000 600,000 1.5 2.5 3.5 4.5 5.5 # of Sigmas # of Defect per Million Sigma Defects numbers per million 1.5s 500,000 2.0s 308,300 2.5s 158,650 3.0s 67,000 3.5s 22,700 4.0s 6,220 4.5s 1,350 5.0s 233 5.5s 32 6.0s 3.4
  • 59. QualityGurus.com Components Two components of Six Sigma 1. Process Power 2. People Power
  • 61. QualityGurus.com P-D-C-A P D C A Plan Do Check Act Act on what was learned Check the results Plan the change Implement the change on a small scale.
  • 63. QualityGurus.com DMAIC - simplified Define What is important? Measure How are we doing? Analyze What is wrong? Improve Fix what’s wrong Control Ensure gains are maintained to guarantee performance
  • 64. QualityGurus.com DMAIC approach 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
  • 65. QualityGurus.com Define D Define M Measure A Analyze I Improve C Control VoC - Who wants the project and why ? The scope of project / improvement (SMART Objective) Key team members / resources for the project Critical milestones and stakeholder review Budget allocation
  • 66. QualityGurus.com Measure Ensure measurement system reliability Prepare data collection plan Collect data - Is tool used to measure the output variable flawed ? - 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 ? D Define M Measure A Analyze I Improve C Control
  • 67. QualityGurus.com Analyze How well or poorly processes are working compared with - Best possible (Benchmarking) - Competitor’s Shows you maximum possible result Don’t focus on symptoms, find the root cause D Define M Measure A Analyze I Improve C Control
  • 68. QualityGurus.com Improve Present recommendations to process owner. Pilot run - Formulate Pilot run. - Test improved process (run pilot). - Analyze pilot and results. Develop implementation plan. - Prepare final presentation. - Present final recommendation to Management Team. D Define M Measure A Analyze I Improve C Control
  • 69. QualityGurus.com Control Don’t be too hasty to declare victory. How will you maintain to gains made? - Change policy & procedures - Change drawings - Change planning - Revise budget - Training D Define M Measure A Analyze I Improve C Control
  • 70. QualityGurus.com Omitting a step in DMAIC? Step Consequences if the step is omitted 1. Define 2. Measure 3. Analyze 4. Improve 5. Control
  • 71. QualityGurus.com  Benchmark  Baseline  Contract / Charter  Kano Model  Voice of the Customer  Quality Function Deployment  Process Flow Map  Project Management  “Management by Fact” – 4 What’s  7 Basic Tools  Defect Metrics  Data Collection, Forms, Plan, Logistics  Sampling Techniques  Cause & Effect Diagrams  Failure Models &  Effect Analysis  Decision & Risk Analysis  Statistical Inference  Control Charts  Capability  Reliability Analysis  Root Cause Analysis  5 Why’s  Systems Thinking  Design of Experiments  Modelling  Tolerancing  Robust Design  Process Map Statistical Controls  Control Charts  Time Series Methods Non Statistical Controls  Procedure adherence  Performance Mgmt  Preventive activities  Poke yoke Define What is wrong? Measure Data & Process capability Analyze When and where are the defects Improve How to get to six sigma Control Display key measures Tools for DMAIC
  • 72. QualityGurus.com Components Two components of Six Sigma 1. Process Power 2. People Power Tell me, I forget. Show me , I remember. Involve me, I understand.
  • 73. QualityGurus.com Master Black Belt Black Belts Green Belts Team Members / Yellow Belts Champions Mentor, trainer, and coach of Black Belts and others in the organization. Leader of teams implementing the six sigma methodology on projects. Delivers successful focused projects using the six sigma methodology and tools. Participates on and supports the project teams, typically in the context of his or her existing responsibilities. 6  Training
  • 75. QualityGurus.com Senior Executives Champions / Process owners Black-Belt Green Belt Employees (Yellow-Belt) Executive overview 2/3 Days Provide Leadership Champions Training - I 2 days Champions Training –II 3 days Process Mgmt. & Project champion Week 2 Week 3 Week 4 Training / Facilitation skills Project-work Master Black-Belt -As Trainer -Coach teams -Facilitate improvement projects 1 Week Green-Belt Training - Part of project teams - Sometime lead the teams 1 / 2 Days core training on Six-Sigma - General process control & improvement - Project Team Member Black-Belt Project work Position in Six Sigma Organisation Typical Training Expected Role Post Training + (Total 5 days) 6  Training Week 1
  • 76. QualityGurus.com Champion Plans improvement projects Charters or champions chartering process Identifies, sponsors and directs Six Sigma projects Holds regular project reviews in accordance with project charters Includes Six Sigma requirements in expense and capital budgets
  • 77. QualityGurus.com Champion Identifies and removes organizational and cultural barriers to Six Sigma success. Rewards and recognizes team and individual accomplishments (formally and informally) Communicates leadership vision Monitors and reports Six Sigma progress Validates Six Sigma project results Nominates highly qualified Black Belt and/or Green Belt candidates
  • 78. QualityGurus.com Master Black Belt Roles Responsibilities -Enterprise Six Sigma expert -Permanent full-time change agent -Certified Black Belt with additional specialized skills or experience especially useful in deployment of Six Sigma across the enterprise - Highly proficient in using Six Sigma methodology to achieve tangible business results. -Technical expert beyond Black Belt level on one or more aspects of process improvement (e.g., advanced statistical analysis, project management, communications, program administration, teaching, project coaching) -Identifies high-leverage opportunities for applying the Six Sigma approach across the enterprise -Basic Black Belt training -Green Belt training -Coach / Mentor Black Belts
  • 79. QualityGurus.com Roles Responsibilities - Six Sigma technical expert - Temporary, full-time change agent (will return to other duties after completing a two to three year tour of duty as a Black Belt) - Leads business process improvement projects where Six Sigma approach is indicated. - Successfully completes high-impact projects that result in tangible benefits to the enterprise - Demonstrated mastery of Black Belt body of knowledge - Demonstrated proficiency at achieving results through the application of the Six Sigma approach - Coach / Mentor Green Belts - Recommends Green Belts for Certification Black Belt
  • 80. QualityGurus.com Green Belt Roles Responsibilities - Six Sigma Project originator - Part-time Six Sigma change agent. Continues to perform normal duties while participating on Six Sigma project teams - Six Sigma champion in local area - Recommends Six Sigma projects - Participates on Six Sigma project teams - Leads Six Sigma teams in local improvement projects
  • 81. QualityGurus.com Yellow Belt Roles Responsibilities - Learns and applies Six Sigma tools to projects - Actively participates in team tasks - Communicates well with other team members - Demonstrates basic improvement tool knowledge - Accepts and executes assignments as determined by team
  • 82. QualityGurus.com Financial Analyst Validates the baseline status for each project. Validates the sustained results / savings after completion of the project. Compiles overall investment vs. benefits on Six Sigma for management reporting. Will usually be the part of Senior Leadership Team.
  • 83. QualityGurus.com Thought of the day We don't know what we don't know We can't act on what we don't know We won't know until we search We won't search for what we don't question We don't question what we don't measure Hence, We just don't know
  • 84. QualityGurus.com Project Selection The first step to implement Six Sigma
  • 85. QualityGurus.com Sources of Projects External Sources: Voice of Customer What are we falling short of meeting customer needs? What are the new needs of customers? Voice of Market What are market trends, and are we ready to adapt? Voice of Competitors What are we behind our competitors?
  • 86. QualityGurus.com Sources of Projects Internal Sources: Voice of Process Where are the defects, repairs, reworks? What are the major delays? What are the major wastes? Voice of Employee What concerns or ideas have employees or managers raised? What are we behind our competitors?
  • 87. QualityGurus.com As a team List down at least 20 improvement projects related to your work areas ……. A Problem Statement should be SMART:  Specific - It does not solve world hunger  Measurable - It has a way to measure success  Achievable - It is possible to be successful  Relevant - It has an impact that can be quantified  Timely - It is near term not off in the future Project Selection
  • 88. QualityGurus.com Harvesting the Fruit of Six Sigma - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sweet Fruit Design for Repeatability Bulk of Fruit Process Characterization and Optimization Low Hanging Fruit Seven Basic Tools Ground Fruit Logic and Intuition Process Enhancement - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  • 89. QualityGurus.com Types of Savings Hard Savings: Cost Reduction Energy Saving Raw Material saving Reduced Rejection, Waste, Repair Revenue Enhancement Increased production Yield Improvement Quality Improvement
  • 90. QualityGurus.com Hard Savings: Cash flow improvement Reduced cash tied up in inventory Reduced late receivables, early payables Reduced cycle time Cost and Capital avoidance Optimizing the current system / resources Reduced maintenance costs Types of Savings
  • 91. QualityGurus.com Soft Savings: Customer Satisfaction / Loyalty Employee Satisfaction Types of Savings
  • 92. QualityGurus.com Cost of implementing Direct Payroll Full time (Black Belts, Master Black Belts) Indirect Payroll Time by executives, team members, data collection Training and Consulting Black Belt course, Overview for Mgmt etc. Improvement Implementation Costs Installing new solution, IT driven solutions etc.
  • 93. QualityGurus.com What Qualifies as a Six Sigma Project Three basic qualifications: -There is a gap between current and desired / needed performance. The cause of problem is not clearly understood. The solution is not pre-determined, nor is the optimal solution apparent. How many projects out of 20 now qualify as Six sigma projects?
  • 94. QualityGurus.com Way forward Get Started Look for low hanging fruits Even poor usage of these tools will get results Learn more about Six Sigma