c2sixsigma
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Six SigmaSix SigmaBy Kittiwat By Kittiwat SirikasemsukSirikasemsuk
2Kittiwat S. KMITL-IE
What Is Six Sigma?What Is Six Sigma?• Goal for Competitive Strength• Strategy for Running a Business• Tool to Eliminate Variation• Vision of Product & Service Excellence• Value to Our Customers• Metric of World Class Companies
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What is Six Sigma? (GE.)What is Six Sigma? (GE.)• Six Sigma is a highly disciplined
process that helps us focus on developing and delivering near-perfect products and services.
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HistoryHistory
Motorola
Allied Signal
General Electric Jack Welch
: 1995
Lawrence Bossidy
Year ‘80
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Background of 6Background of 6--SigmaSigma• Motorola implemented a quality improvement
program in 1982.• Quality improvement efforts pointed to the
need for improved analytical tools.• 6-Sigma tools were developed.• Motorola won the Malcolm Baldrige Award in
1988.
Motorola developed and implemented many of the 6-Sigma techniques used today.
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Background of 6Background of 6--SigmaSigma• Companies that have implemented 6-Sigma
include:
• ABB Inc.• Allied Signal• Bombardier• Dow• DuPont• General Electric• Honeywell• Johnson Controls1
• Lear• Lockheed Martin• Motorola• Nokia• Raytheon• Sony• Sun Microsystems• Texas Instruments
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Measuring variation and qualityMeasuring variation and quality
σσ•Sigma is measure of variation and quality
•Sigma is measure of quality level.
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What is Sigma?What is Sigma?Sigma is a letter in the Greek alphabet. The term “sigma” is used to designate the distribution or spread (variation) about the average or center (mean) of any process or procedure measurement.
The sigma value indicates how often defects are likely to occur. The higher the sigma value, the less likely a process will produce defects. As sigma increases, cost and cycle time go down while customer satisfaction goes up. A winning combination!
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66ss ... The Way We Run The Business... The Way We Run The Business
22 308,537308,53733 66,80766,80744 6,2106,21055 23323366 3.43.4
σσ PPMPPM
ProcessCapabilityProcess
Capability
Defects perMillion
Opportunities
DD σσAs defectsgo down...
the Sigma Capabilitygoes up
(Distribution Shifted ± 1.5σ)
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A central normal distributionA central normal distribution
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A 1.5 sigma shiftA 1.5 sigma shift
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Defect rates versus sigma quality levelDefect rates versus sigma quality level
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The Six Sigma StrategyThe Six Sigma Strategy
• a process must produce no more than 3.4 defects per million opportunities.
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Six Sigma Breakthrough ChallengeSix Sigma Breakthrough Challenge
20,000 lost articles of mail per hourUnsafe drinking water almost 15 minuteseach day5,000 incorrect surgical operations per week2 short or long landings at most majorairports each day200,000 wrong drug prescriptions each yearNo electricity for almost 7 hours each month
Practical Meaning of “99% Good”
3σ Historical Standard 93.32%Short-Term Yield
4σ Current Standard 99.38%Short-Term Yield
6σ New Standard 99.99966%Short-Term Yield
Execution Excellence!6
Whatis
SixSigma?
• New Competition -- New Standards!
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Six Sigma Six Sigma ---- Practical MeaningPractical Meaning99.99966% Good (6 Sigma)
• 20,000 lost articles of mail per hour
• Unsafe drinking water for almost 15 minutes each day
• 5,000 incorrect surgical operations per week
• Two short or long landings at most major airports each day
• 200,000 wrong drug prescriptions each year
• No electricity for almost seven hours each month
• Seven articles lost per hour
• One unsafe minute every seven months
• 1.7 incorrect operations per week
• One short or long landing every five years
• 68 wrong prescriptions per year
• One hour without electricity every 34 years
99% Good (3.8 Sigma)
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What are the Limits to Improvement?What are the Limits to Improvement?Clean Sheet
2 sigma 3 sigma 4 sigma 5 sigma 6 sigma
Basic Quality Basic Quality ToolsTools
Statistical Statistical Tools to Tools to Improve Improve ProcessProcess
Designing for Designing for Six Sigma Six Sigma
(DFSS)(DFSS)
Rel
ativ
e Pr
oble
m L
evel
Basic Tools Wall Design Wall
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Harvesting the Fruit of Six SigmaHarvesting the Fruit of Six Sigma
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Sweet FruitDesign for Six Sigma
Bulk of FruitProcess Characterization and Optimization
Low Hanging FruitSeven Basic Tools
Ground FruitLogic and Intuition
Process Entitlement
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -3 σ Wall, Beat Up Suppliers3 σ Wall, Beat Up Suppliers
4 σ Wall, Improve Processes4 σ Wall, Improve Processes
5 σ Wall, Improve Designs5 σ Wall, Improve Designs
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The Old Way
Eventually, weEventually, we’’ll find the ll find the right solution.right solution.
How We Search for Solutions How We Search for Solutions
Use a solution Use a solution ““plan.plan.””
The Way
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Understanding Process CapabilityUnderstanding Process Capability
LSL USL
Poor Process Capability
Very High Probability of Defects
LSL USL
Excellent Process
CapabilityVery Low Probability of Defects
Very High Probability of Defects
Very Low Probability of Defects
USLUSL
Y = f (X 1 . . . X )n
The variation inherent to any dependent variable (Y) is determined bythe variations inherent to each of the independent variables. (X)
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•• An "opportunity" is defined as a chance for An "opportunity" is defined as a chance for nonconformance, or not meeting the required nonconformance, or not meeting the required specifications.specifications.
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Reducing VariabilityVariability occurs in every process. All such variances are accumulated and piled up on the output (product or service) and delivered to the customer.
Basic Principles for Reducing VariabilityBasic Principles for Reducing VariabilityBasic Principles for Reducing Variability
••Write it downWrite it down••Show me the dataShow me the data••Say it with graphSay it with graph
CompanyCompany
OutputOutput(Product or Service)(Product or Service)
Vender
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Scientific Approaches - From KKD to Science
To reduce variability, SSS employs sceintific approaches.To reduce variability, SSS employs To reduce variability, SSS employs sceintificsceintific approaches.approaches.
• Highly accurate forecasts are possible because quantitative causalities are understood.
• Objective judgment can be made based on statistical facts.
• Simulations allow accurate estimations in different environments and under different conditions.
World of World of KKDKKD
Scientific approach: Make objective judgment based on data.Scientific approach: Make objective judgment based on data.Scientific approach: Make objective judgment based on data.
World of ScienceWorld of Science
• You make judgment based on your intuition and experience alone. You need courage because you have nobody or nothing to rely on but yourself.
• Variability is induced by change in the environment, personnel, or time.
STARTSTARTENDEND
Metrics (Y)Metrics (Y)
y = f (x1, x2)
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Basics of the Scientific Approaches
Write it downWrite it down -- Organize your ideas systematically. By documenting Organize your ideas systematically. By documenting principles and procedures, you can share them with principles and procedures, you can share them with others and prevent miscommunication and fruitless others and prevent miscommunication and fruitless discussions.discussions.
Show me the dataShow me the data -- Make objective judgment based on facts and data.Make objective judgment based on facts and data.
Say it with graphSay it with graph -- Show data graphically using figures and graphs, thus Show data graphically using figures and graphs, thus making critical points easy to understand.making critical points easy to understand.
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This Drives Breakthrough ImprovementThis Drives Breakthrough Improvement
Time
Perf
orm
ance
GOOD
BAD 3 Sigma
6 Sigma
Six SigmaBreakthrough
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The Cost of Poor Quality The Cost of Poor Quality ““IcebergIceberg””
Additional Costs of Poor Quality 25-35% of sales
Traditional Quality Costs 4-6% of sales
• Inspection
• Warranty
• Scrap
• Rework
• Rejects
Tangible --Measurable Costs
Intangible -- Difficult or Impossible to Measure
• More Setups
• Expediting
• Lost Sales
• Late Delivery
• Lost Customer Loyalty
• Long Cycle Times
• Engineering Change Orders
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Will it cost too much to improve?Will it cost too much to improve?
Appraisaland
Prevention
QualityQuality
Internal and
External Failure Old Belief
44σσ
Cost
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The enlightened perspective!The enlightened perspective!
Appraisaland
Prevention
Internal and
External Failure
44σσ
55σσ66σσ
New Belief
Quality
CostWorld Class
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The Focus of Six SigmaThe Focus of Six Sigma
f (X)f (X)Y=Y=
YDependentOutputEffectSymptomMonitor
X1 . . . XnIndependentInput-ProcessCauseProblemControl
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Understanding Process DataUnderstanding Process Data
LSL x USL Zlt = 4.5 LSL x USL
Zst = 6.0
CUMULATIVELONG-TERMCAPABILITY
CUMULATIVESHORT-TERMCAPABILITY
Center the Means
RATIONAL SUBGROUPSNOTE:SHORT-TERMPROCESSES AREASSUMEDCENTERED
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In Control
(Common Cause)
Controlled state with a high process capability
(low variance due to common causes)
Process Capability and Process Control
1. Execute process control.
2. Improve process capability.
UCLLCL
USLLSL Controlled state but with a low process capability
(large variance due to common causes)
Out of Control
(Special Cause)11
22
33
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Focus of six sigma Focus of six sigma ““processprocess””1. Defect Reduction1. Defect Reduction2. Customer Satisfaction2. Customer Satisfaction3. Cycle time Reduction3. Cycle time Reduction4. Variation Reduction4. Variation Reduction
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Addition : Six sigmaAddition : Six sigma• Not narrow, not only process line to
QI.• Being culture and a way of life.• Not try manage problem but will try
eliminate problem.• Not CI , select one problem to
being project.
power six sigma= people power + process powerpower six sigma= people power + process powerKittiwat S. KMITL-IE
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Deployment StructureDeployment Structure
Master Black Belts (Full /Part-Time)
Champions (Part-Time)
Black Belts (Full-Time)
Green Belts (Part-Time)
Member of Project (Part-Time)
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Sony Six Sigma Members
ChampionChampionChampion
Grand ChampionGrand ChampionGrand Champion
Sector ChampionSector ChampionSector Champion
Executive ChampionExecutive ChampionExecutive Champion
Green BeltGreen BeltGreen Belt
Black BeltBlack Belt
Yellow BeltYellow BeltYellow Belt
White BeltWhite Belt
TrainerTrainerTrainer
Presidents at Sony Companies, Labs, and Affiliated CompaniesPresidents at Plants
Officers at Sony Companies, Directors at Plants and Affiliated Companies, GMs
Senior Managers, Deputy GMs, GMs at Plants and Affiliated Companies
Assistant Managers and Leaders
Members with 3-5 year's experience
Recruits
Corporate EVP and above
COO CFO
NC PresidentsEurope-CEO SEL-COO
Corporate CEOGuidelineGuideline
SDT SSS committeeSDT SSS SDT SSS
committeecommittee
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Traditional ApproachTraditional Approach
Statistical Tools Statistical Consultant
Engineer
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• Six Sigma Black Belts need to have many qualities to be effective. They need strong leadership and project management skills. They also need to be aware of decision alternative relative to choosing the right Six Sigma tool for a given situation.
• People selected to become Black Belts need to be respected for their ability to lead change, effectively analyze a problem, facilitate a team, and successfully manage a project.
Black Black BletBlet SelectionSelection
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- Full-Time, Trained (coach) Resource who Completes 5-10 Projects to Reduce Defects
Black Black BletBlet (BB)(BB)
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The Leadership Role The Leadership Role -- (Champions)(Champions)– Facilitate the Leadership, Implementation, and
Deployment of Six Sigma Philosophy• Create the Vision• Define the Path• Tear Down/destroy Roadblocks• Ensure Process Owner’s Support• Encourage Follow-up and Monitoring Activities• Realize/understand the Gains
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The Master Black Belt RoleThe Master Black Belt Role–Individuals with an aptitude for
statistics and a strong interest in understanding and making breakthrough improvements in the processes
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- A Full Time/Part Time –Teacher and Mentor of Black Belts.
Master Black Belt Master Black Belt ((MBBMBB))
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The Green Belt Role (GB)The Green Belt Role (GB)– Incorporate tools/methodology of Six Sigma into
current jobs to make improvements on processes• Understand 6s Methodology• Communicate Project Status• Deliver on Project Results
– Expectation: 2 Projects per year• Use tools to improve processes• Sustain improved process after improvement
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Reach a Critical MassReach a Critical Mass
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18
Time in quarters (Roughestimate only!)
Time in quarters (Roughestimate only!)
Num
ber o
f peo
ple
Num
ber o
f peo
ple
Master BlackBelts
Master BlackBelts
BlackBelts
BlackBelts
Green BeltsGreen Belts
Project TeamMembers and allother Employees
Project TeamMembers and allother Employees
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Number of Suitable People Number of Suitable People Black Belt = 1% of all employees.Master Black Belt : # Black Belt
1:5 (4 year initiated) 1:20 (5 year later)
Green Belt = 100% (in 4 year) of all employeesProject Champion = 100% (in 4 year)
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The Breakthrough PhasesThe Breakthrough Phases
BreakthroughStrategy
Characterization
Phase 1:Measurement
Phase 2:Analysis
Optimization
Phase 3:Improvement
Phase 4:Control
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D D -- M M -- A A -- I I -- CC
Define
Measure
Analyze
Improve
Control
1. Customer expectations of the process?
2. What is the frequency of defects?
3. When and where do defects occur?
4. How can we fix the process?
5. How can we make the process stay fixed?
y = f (x)
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Basic Approach to Sony Six Sigma - 14 StepsDDefineefine
CTQ Break down the CTQ
Define CTQ based on VOC and the company’s profitsStep 1
Step 2
AAnalyzenalyzeVital Few (X)
Verify the reliability of the Vital Few (X) measurement system
Identify Vital Fews (X) that are critical to the metrics (Y)
List and analyze factors of variance of the metrics (Y)Step 6
Step 7
Step 8
IImprovemproveOptimal Condition Test and verify the optimal conditions in the real process
Identify the relationship between the Vital Fews (X) and the metrics (Y)Set optimal conditions for the Vital Fews (X) including their tolerances
Step 9
Step 10
Step 11
CControlontrolStandardization
Share the improvement process and transfer best practicesto others
Establish a Vital Few (X) control system and sustain itOrganize and accumulate the knowledge gained through the project
Step 12
Step 13
Step 14
MMeasureeasureCheck the current status of the metrics (Y) and determine the target for improvement
Define metrics (Y) that represent CTQ quantitatively
Verify the reliability of the measurement system for the metrics (Y)
Step 3
Step 4
Step 5Metrics (Y)
Following these 14 DMAIC steps substantially increases the chance of implementing CTQ.
Following these 14 DMAIC steps substantially increases the chance of implementing CTQ.
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DMAICDMAIC
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S4
Phase of Smart Six Sigma Solution.(SPhase of Smart Six Sigma Solution.(S44))Kittiwat S. KMITL-IE 51 52Kittiwat S. KMITL-IE
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The Breakthrough CookbookThe Breakthrough CookbookDefineA Identify Customer CTQB Product/Process TreeC Bound Project / BenefitsD Formal Approval
Measure 1 Select CTQ Characteristic Y Fishbone, FMEA, Pareto,Customer, QFD2 Define Performance Standards Y Customer, Blueprints (Plan, Design)3 Validate Measurement System Y Gage Study
Analyze4 Establish Product Capability Y Capability Indices 5 Define Performance Objective Y Team, Benchmarking6 Identify Variation Sources* X Multi-Vari ,Hypothesis Tests
Improve7 Screen Potential Causes X DOE-Fraction8 Discover Variable Relationships X DOE-Full9 Establish Operating Tolerances X Predict. Eqns., DFSS ,Realistic Tolerancing
Control10 Validate Measurement System* X Gage Study 11 Determine Process Capability X Capability Indices12 Implement Process Control System X Risk Analysis,Mistake Proof, SPC* You may want to validate the Measurement System for “X” before step 6.
Step Description Focus Tools
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Why do we really measure?Why do we really measure?
BehaviorsValues Measures
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Discrete Vs. Continuous DataDiscrete Vs. Continuous Data
FAIL PASS
Electrical Circuit
DISCRETE
NO-GO GO
QTY UNIT DESCRIPTION TOTAL
1 $10.00 $10.003 $1.50 $4.5010 $10.00 $10.002 $5.00 $10.00
SHIPPING ORDER
ERROR
$
TEMPERATURE
Thermometer
Time
CONTINUOUS
Caliper$
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Understanding ProcessesUnderstanding ProcessesDefineDefine MeasureMeasure AnalyzeAnalyze ImproveImprove ControlControl
Select CTQ Characteristic
Define Performance Standards
Validate Measurement System
Select CTQ Characteristic
MeasureMeasureMeasure
FishboneC&E MatrixFMEAPareto
X1
X2X3
X4
X5
X6X7
X8
X9
X10
XX33 XX88
Vital Few XsVital Few Xs
Funnel EffectFunnel Effect
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Fishbone DiagramFishbone Diagram
Problem Statement
Measurements Materials Men & Women
MethodsEnvironment Machines
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C&E MatrixC&E MatrixRating of
Importance toCustomer
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Req
uire
men
t
Total
Process Step Process Input
1 02 03 04 05 06 07 08 09 010 011 012 013 014 015 016 017 018 019 020 0
0
Total 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Lower Spec
TargetUpper Spec
Cause and EffectMatrix
XsXs
YsYs
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FMEAFMEASeverity×Occurrence×Detection=RPNRPN
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FMEA Form FMEA Form –– 6 Sigma6 Sigma
Process Step/Input Potential Failure Mode Potential Failure Effects
SEV
Potential CausesOCC
Current ControlsDET
RPN
Actions Recommended
What is the process step/ Input under
investigation?
In what ways does the Key Input go wrong?
What is the impact on the Key Output Variables (Customer Requirements) or internal requirements?
How
Sev
ere
is th
e ef
fect
to th
e cu
sotm
er? What causes the Key Input to
go wrong?
How
ofte
n do
es c
ause
or
FM
occ
ur? What are the existing controls and
procedures (inspection and test) that prevent eith the cause or the Failure Mode? Should include an SOP number.
How
wel
l can
you
de
tect
cau
se o
r FM
? What are the actions for reducing the
occurrance of the Cause, or improving detection? Should
have actions only on high RPN's or easy
fixes.
0
0
0
FMEAFMEA
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Pareto ChartPareto Chart
Missing Screw s
Missing Clips
Leaky Gasket
Defective Housing
Incomplete Part
Others
274 59 43 19 10 1864.8 13.9 10.2 4.5 2.4 4.3 64.8 78.7 88.9 93.4 95.7 100.0
0
100
200
300
400
0
20
40
60
80
100
DefectCount
PercentCum %
Perc
ent
Cou
nt
Pareto Chart for Defects
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The Measurement PhaseThe Measurement Phase
The Process
X1 X2 X3
Controllable Inputs
Z1 Z2 Z3
Inputs:
Raw Materials,
components, etc.
Uncontrollable Inputs
Y1, Y2, etc.
Quality Characteristics:
Outputs LSL USL
• Establish the performance baseline
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The Analysis PhaseThe Analysis Phase
The Process
X1 X2 X3Controllable Inputs
Z1 Z2 Z3
Inputs:
Raw Materials,
components, etc.
Uncontrollable Inputs
Y1, Y2, etc.
Quality Characteristics:
OutputsLSL USL
• Identify vital few X’s
X1
X2X3
X4
X5
X6X7
X8
X9
X10
XX33 XX88
Vital Few XsVital Few Xs
Funnel EffectFunnel Effect
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Using Tools in Analysis PhaseUsing Tools in Analysis Phase
• T-Test• Homogeneity of Variance
• 1-Way ANOVA
• Scatterplot• Simple Regression
Continuous Discrete
X (Factor) treated as:X (Factor) treated as:
Y (R
espo
nse)
Y (R
espo
nse)
Con
tinuo
usD
iscr
ete
A B C X=Car Brand
Y=Gas Mileage(mpg)
Avg
Avg Avg30
20
10
0 .5 1 1.5 2X=Car Weight (tons)
Y=Gas Mileage(mpg)
30
20
10
A B C X=Car Brand
Y= InjurySeverity
Death
Major
Minor
None
75 60 65
160 115 175
100 65 135
15 10 25
• Goodness of Fit
• Test of Independence
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The Improvement PhaseThe Improvement Phase
Uncontrollable Inputs
The Process
X1 X2 X3Controllable Inputs
Z1 Z2 Z3
Inputs:
Raw Materials,
components, etc.
Y1, Y2, etc.
Quality Characteristics:
OutputsX
X
XLSL USL
LSL USL
• Determine the governing equation
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Six Sigma IMPROVESix Sigma IMPROVEXsXs YsYs
Process
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Six Sigma IMPROVESix Sigma IMPROVEReworkRework
NVANVA
Hidden FactoryHidden Factory
XsXs YsYsDefectDefectReduce the Variance Reduce the Variance
Process
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The Control PhaseThe Control Phase
The Process
X1 X2 X3Controllable Inputs
Inputs:
Raw Materials,
components, etc.
Z1 Z2 Z3Uncontrollable Inputs
Y1, Y2, etc.
Quality Characteristics:
Outputs LSL USL
• Implement long-term control methods
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Management commitmentManagement commitmentJack WelchJack Welch- promoting opposition have to be trained
six sigma formerly.- Special reward of Executive Manager
40%
Six sigma has changed the DNA of GESix sigma has changed the DNA of GE
- it is now the way we work — in everything we do and in every product we design.
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GE 2001 Annual Report Industrial Systems
-- using Six Sigma tools and using Six Sigma tools and processes to meet commitments processes to meet commitments and achieveand achieve cyclecycle--time reductions time reductions of up to 45%. of up to 45%. -- WithWith 700 full700 full--time Black Belt time Black Belt professionalsprofessionals andand 15,000 active 15,000 active Six Sigma projectsSix Sigma projects across our across our businesses around the globe.businesses around the globe. 74Kittiwat S. KMITL-IE
GE 2001 Annual Report Aircraft Engines
Throughout 2001,Throughout 2001,- we deployed At the Customer, - For the Customer Six Sigma quality teams, …-- they completed 3,000 costthey completed 3,000 cost--saving saving projects.projects.-- our productivity gains from Six our productivity gains from Six SigmaSigma 75Kittiwat S. KMITL-IE
GE 2001 Annual Report Appliances.
GEA Six SigmaGEA Six Sigma- probing their processes and assisting them with quality improvement. -- Large customers like Large customers like SheaSheaHomes Homes were were recognized/admittedrecognized/admittednationally for their Six Sigma nationally for their Six Sigma efforts.efforts. 76Kittiwat S. KMITL-IE
GE 2001 Annual Report Industrial Systems
Six Sigma continued Six Sigma continued -- improve processes and deliver improve processes and deliver substantial productivitysubstantial productivity benefitsbenefitsto customers.to customers.-- resulting inresulting in significant savingssignificant savingswhilewhile improving customerimproving customersatisfaction. Because of this satisfaction. Because of this success.success. 77Kittiwat S. KMITL-IE
Applying Six Sigma for Used Life• How to increase the family income?
- Select important problem and cause.- Interested in Xs to improve.
• How to divide some work for operator.- Separate high variance work to give
for one operator.• How to increase the time to reading?• How to go to U. or work in time?
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We don't know what we don't knowWe can't act on what we don't knowWe won't know until we searchWe won't search for what we don't questionWe don't question what we don't measureHence, We just don't know
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