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TRANSCRIPT
Chapter 4
Six Sigma Continuous Improvement
“The signifi cant problems we face cannot be solved at the same level of thinking we were at when we created them.”
—Albert Einstein
4.1 SIX SIGMA CONTINUOUS IMPROVEMENT PRINCIPLES
Advancement to near perfection (maximum profi tability) is virtually impos-sible without integration of proper engineering design, material, process, and control strategies—in other words, achieving higher standard deviations in exist-ing and future production processes. Six Sigma tools uncover the unseen root causes of potential problems and attack them to eliminate defect opportunities. This means that Six Sigma takes the necessary measurements at the early stages of product or process development before the problem occurs. Alternatively, it will focus on the processes indicating that their sigma level is either too low and cannot improve or a high sigma level (5 or more), which is too challenging to improve. One should keep in mind that the cost of redesign or correcting after-math problems is extremely high and costly. (See Chapter 8 for more details.)
Six Sigma can be achieved only with cross-functional groups or joint efforts throughout the organization with great intensity—that is, if it is required by corporate culture and deployed fi rmly. Indeed, Six Sigma has to be applied from raw material all the way to the fi nished product and the shipping department.
Essentials of Lean Six SigmaCopyright © 2006 by Academic Press, Inc. All rights of reproduction in any form reserved. 43
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44 Six Sigma Continuous Improvement
The performance of this is shown in Figure 4.1, the Six Sigma breakthrough model, with three main objectives: higher profi t, increased value, and reduced variation. Six Sigma science of continuous improvement concentrates on two processes that each include three steps:
Process Characterization
1. Defi ne project and process measurement (diagnosis)2. Evaluate existing sigma (capability study)3. Analyze process data
Process Optimization/Simulation
4. Improve and optimize process5. Evaluate new sigma (capability study)6. Control and maintain the process
Or the above steps can be summarized in DMAIC (defi ne/measure [diagnosis], analyze, improve [optimize], control).
4.2 SIX SIGMA SYSTEMS
Six Sigma systems include the following concepts:
1. The fastest rate of improvement in customer satisfaction, cost, quality, process speed, and invested capital.
2. A business improvement and growth system, which leads to a new level of performance.
Six-SigmaPerformance
ProcessManagement
CustomerDriven
StatisticalAnalysis
Higher Profits
Increased Value
Reduced Variation
Six-SigmaPerformance
ProcessManagement
CustomerDriven
StatisticalAnalysis
Higher Profits
Increased Value
Reduced Variation
Figure 4.1 Six Sigma breakthrough performance model.
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Six Sigma Continuous Improvement 45
3. A systematic data-driven approach to analyzing the root cause of manufacturing, as well as business problems/processes and dramatically improving them.
4. Improved decisions based on knowledge and data. 5. A fi nancial results-driven system ($ performance paramount). 6. A project-driven system based on customer needs. 7. A system applicable to all parts of a business. 8. Aimed at the problem where the solution is not known. 9. A system with proven performance.10. Improve customer satisfaction and supplier relationships.11. Expand knowledge of product and processes.12. Develop a common set of tools and improvement techniques.
Figure 4.2 illustrates the graphical representation of Six Sigma improvement steps.
4.3 SIX SIGMA IMPROVEMENT AND TRAINING MODELS
One may obtain Six Sigma training certifi cation by completing the improve-ment models for Green Belt and Black Belt. These trainings are available through academic institutions, as well as quality societies or other certifi ed organizations.
Figure 4.2 Representation of Six Sigma defi ne and measure, analyze, improve or optimize, and control (DMAIC) levels.
Six SigmaApproach
Process ControlAnd Maintain
Improve Process Estimate New Sigma
Process Optimization (New Process)
Analyze Data
Define Project Measure Process
Estimate Existing Sigma
ProcessCharacterization
(Existing Process)
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46 Six Sigma Continuous Improvement
Figure 4.3 Six Sigma Green Belt improvement model.
ObjectiveD
efin
e Identify Business DriversSelect Customer Critical ProcessesDefine ProjectsDevelop Implementation Plan
Affinity Diagram/Interrelation DiagramQuality Function DeploymentSIPOC Process MapProject Charter
Mea
sure
Develop Key Process MeasuresCollect and Analyze DataIdentify the Vital Few that Have the Greatest ImpactEstimate Process CapabilityMeasurement Systems Analysis
Data Collection PlanCheck/Data SheetPareto ChartGage R&RHistogramProcess Capability
An
alyz
e Understand Cause and EffectsCreate Multi-vari AnalysisDetermine Variance ComponentsAssess Correlation
Cause and Effect DiagramScatter Diagram
Imp
rove Develop and Evaluate Solutions
Implement Variation ReductionStandardize ProcessAssess Risk Factors
Deployment FlowchartTree DiagramFMEA
Co
ntr
ol Implement Process Control
Implement Control Charts for Key VariablesMistake Proof ProcessesEvaluate Results
Process Control PlanControl/Precontrol ChartPoka-YokePareto Chart (ongoing)Process Capability (ongoing)
Tools and Techniques
Manpower Materials
MethodsMachines
Variation/Opportunity
Calibration
Available Resources
Training
Wrong Selection
Maintenance
Hardness
Surface Finish
Outdated Practices
Availability
0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
A B 1 A B 2 A B 3 A B 4 A B 5
Idea Idea
Idea Idea
Idea Idea
Idea
IdeaIdea Idea
Idea Idea
Idea
Idea
IdeaIdea Idea
Idea Idea
Idea Idea
THEME THEME THEME
In = 1 Out = 3 In = 2 Out = 2
In = 3 Out = 1
In = 2 Out = 2
Production
ControlSystems
ChangedWorkEnvironment
OrganizationalStructure
Communication
WorkplaceMotivation/Conflict
CustomerExpectations/
Satisfaction
In = 1 Out = 4
In = 4 Out = 1
Driver (Cause) Outcome (Effect)
Start
Finish
Decision
Task
TaskTask
Task
Task
Finish
Y
N
S u b- G o a l
S u b - G o a l
S u b- G o a l
A cti v i ty
A cti v i ty
A cti v i ty
A cti v i ty
A cti v i ty
A cti v i ty
A cti v i ty
G o a l
0
10
20
30
40
50
60
70
2 4 6 8 10 12 14 16
Relationship
MatrixWhats
Hows
QFD
Cp & CpK
Rev#Date by¦2/96
Process DescriptionProcess CustomerProcess FlowchartJob
Time
IndicatorsControl
LimitsSpecs/
Targets
AND
CHECKINGMisc
Checking
Item
Fre-
quency
Respon-
sibility Conting.
Plan
When to
Check
Who
Checks
00:00
Customer Front Desk
Cook Delivery
Orders Pizza
Takes OrderPasses to Cook
Loads Pizza
Cooks Pizza
DeliverDone?Pay for Pizza
01:30
04:3010:15
11:30
35:30
P1 Time
stamp
P3 P3
Into Oven
Each
order
Cook
PrintingEach
order
Front
Cook11 minutes
30 seconds
Ticket on
oven
Cook
Each
Insertion
Q1 Q2
noyes
Process Control PlanUCL
x
LCL
Day 1
1111 111 1 11111
1 11111 111 111
111 111 1111 111
Day 3Day 2 Day 4
Paint
Perf
Test
S I P O C
NoMistakes
Failure Mode Effects Analysis
RiskPrioritization
Number
Variable X
Variable Y
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Six Sigma Continuous Improvement 47
Objective
Def
ine
Identify Business DriversSelect Customer Critical ProcessesDefine ProjectsDevelop Implementation Plan
Affinity Diagram/Interrelation DiagramQuality Function DeploymentSIPOC Process MapProject Charter
Mea
sure
Develop Key Process MeasuresCollect and Analyze DataIdentify the Vital Few that Have the Greatest ImpactEstimate Process CapabilityMeasurement Systems Analysis
Data Collection PlanCheck/Data SheetPareto ChartGage R&RHistogramProcess Capability
Ana
lyze
Understand Cause and EffectsCreate Multi-vari AnalysisDetermine Variance ComponentsAssess Correlation
Cause and Effect DiagramMulti-vari ChartsScatter Diagram
Impr
ove Develop and Evaluate Solutions
Implement Variation ReductionStandardize ProcessAssess Risk Factors
Design of ExperimentsDeployment FlowchartTree DiagramFMEA
Con
trol
Implement Process ControlImplement Control Charts for Key VariablesMistake Proof ProcessesEvaluate Results
Process Control PlanControl/Precontrol ChartPoka-YokePareto Chart (ongoing)Process Capability (ongoing)
Tools and Techniques
Manpower Materials
MethodsMachines
Variation/Opportunity
Calibr at ion
Available Resour ces
T rainin g
Wr ong S elect ion
Main ten an ce
Har dness
S ur f ace Fin ish
Out dat ed P ractices
Availabilit y
0
10
20
30
40
50
60
70
AB1 AB2 AB3 AB4 AB5
Idea Idea
Idea Idea
Idea Idea
Idea
IdeaIdea Idea
Idea Idea
Idea
Idea
IdeaIdea Idea
Idea Idea
Idea Idea
THEME THEME THEME
In = 1 Out =3 In = 2 Out = 2
In = 3 Out = 1
In = 2 Out = 2
Production
ControS ystem
ChangeWorkEnvironmen
OrganizationaStructure
Communication
Work placeMotivationConflic
Cust omeExpectationS atisfaction
In = 1 Out = 4 In = 4 Out = 1
Driver (Cause)
Start
F i ni s h
Decision
Task
Finish
Y
N
S u b -G o a l
S u b -G o a l
S u b -G o a l
A c tiv ity
A c tiv ity
A c tiv ity
A c tiv ity
A c tiv ity
A c tiv ity
A c tiv ity
G oa l
0
10
20
30
40
50
60
70
2 4 6 8 10 12 14 16
Factor A
Factor C
HighLow
High
Low
1.1 1.2 1.3 2.1 2.2 2.3
X
Variable X
Variable Y
Relationship
Matr i x
Whats
Hows
QFD
Cp & CpK
R ev#Dat e by¦2 / 9 6
P rocess Descr ipt ionP rocess Cust omerP rocess Flowchar tJob
T imeI ndicat or s
Con tr o
Limit s
S pecs/
T ar get s
AND
CHE CK I NGMisc
Checkin g
I tem
Fre-
quen cy
R espon -
s ibilit y Con tin g.
P lan
When t o
Check
Who
Checks
0 0 : 00
Cust omer Fron t Desk
Cook Delivery
Order s Pizza
T akes OrderP asses t o Cook
Loads P izza
Cooks P izza
DeliverDon e?P ay for Pizza
0 1: 30
0 4 : 3010 : 15
11: 3 0
3 5 : 30
P 1 T ime
stamp
P 3 P 3
I nt o Oven
E ach
order
Cook
P r in t in gE ach
order
Fron t
Cook11 minut es
3 0 seconds
T icket on
oven
Cook
E ach
I nser t ion
Q1Q2
n o
yes
Process Control PlanUCL
x
LCL
Day1
1111 111 1 11111
1 11111 111 111
111 111 1111 111
Day 3Day 2 Day 4
Paint
Perf
Test
S I P O C
NoM is t akes
Failure Mode Effects Analysis
R iskPrioritization
Number
Task
Task
Task Task
Factor B
d
Outcome (Effect)
Figure 4.4 Six Sigma Black Belt improvement model.
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48 Six Sigma Continuous Improvement
On the other hand, you can apply all the procedures and guidelines of this book to any desired projects. Once you have knowledge and experience, you can participate in certifi ed examinations through a quality organization. The training models for the Green Belt and Black Belt are cited in Figures 4.3 and 4.4. The details of these models are discussed in Chapter 8.
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