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Transcript of Six Sigma
Six Sigma
What Is It, How Is It Different, and Why Are Project Managers Ahead of the Pack?
Terry [email protected]
February 25, 2003
©2002, TRW. All Rights Reserved
2 ©2002, TRW. All Rights Reserved
What Is Six Sigma?
Six Sigma means many things to many people
A statistical measurement
A quality improvement program
A management philosophy
A project
A goal
A waste of time and money
3 ©2002, TRW. All Rights Reserved
What Is Six Sigma?
Six Sigma has many definitions
The goose that laid the golden egg
Not good enough
A pain in the ________
3.4 defects per million opportunities
A tool that may have saved many organizations
4 ©2002, TRW. All Rights Reserved
What Is Six Sigma?
A disciplined process using customer requirements, data, and facts to improve business performance by consistently meeting customer expectations.
5 ©2002, TRW. All Rights Reserved
Virtual PerfectionThe Metric — As A GoalA Statistical Measure of a Process’s Ability to Meet Customer Requirements
Process Sigma % Accuracy Defects Per Million6 99.9997% 3.45 99.98% 2334 99.4% 62103 93.3% 66,8072 69.1% 308,537
A “Stretch” Goal6 Sigma = 3.4 DPMO
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Is 99% Good Enough?
6 Sigma (99.99966% Good)3.8 Sigma (99% Good)50 newborn babies dropped at birth by doctors each day
Toxic drinking water for 4.6 hours each month
5,000 incorrect surgical operations per week
Two unsafe landings at Cleveland Hopkins Airport each day
1,240,200 wrong drug prescriptions each year
No electricity for almost seven hours each month
3 newborn babies dropped in 100 years
Unsafe water for one second every sixteen years
1.7 incorrect operations per week
One short or long landing every five years
1 wrong prescription in 25 years
One hour without electricity every 34 years
Six Sigma performance is not only possible, but we expect it in many areas of life
7 ©2002, TRW. All Rights Reserved
How is Six Sigma Different
Disciplined methodologyFact based, data drivenProcess centeredFocused on customer requirementsEmphasizes ensuring permanent changeApplicable to all business processesConsistent approach across business functionsLeadership involved throughoutChanges how management operates
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A Rigorous Methodology
Data driven, breakthrough process improvement methodology
Customer-derived requirements and specifications drive everything to establish the right focus
Measurement rigor to characterize process performance
Sophisticated statistical tool set to validate root cause
Back-end implementation of process control to maintain gains
Financial analysis rigor to validate business benefits
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Importance of Reducing Variation
Every process/procedure has an expected outcome/ measurement: the mean
Every outcome/measurement has some variability
The measure of that variability is the standarddeviation, or “ “
Reducing variability and defects is good …
… and is the essence of Six Sigma
σ
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Importance of Reducing Variation
To increase a process performance, you have to decrease variation.
Less variation provides
Greater predictability in the processLess waste and rework, which lowers costsProducts and services that perform better and last longerHappier customers
Defects Defects
Too early Too late
Delivery Time
Reduce variation
Delivery Time
Too early Too late
Spread of variation too wide compared
to specifications
Spread of variation narrow compared to
specifications
11 ©2002, TRW. All Rights Reserved
Examples of Measured Process Improvement
A/R “Reduced cycle time from 11.4 to 3.01 days”
HSE “MSDS retrieval time reduced by 71%”
IS “Reduced time to setup a new PC from 4 hrs to 30 min.”
Purchasing “Reduced errors from 1.62 to 0.81 per requisition”
Shipping “Reduced hours per truckload from 7.9 to 3.6”
HR “Reduced the processing time for new
employees from 3.34 to 1.04 hrs”
Maintenance “Reduced downtime from 17% to 8.5%”
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Six Sigma Delivers Business Results
YIELD: Since 1988, Texas Instruments yield has improved from 84.3% to 99.8 %.Allied Signal used six sigma methods to reduce defects by over 68% in 4 months
COST SAVINGS: Motorola saved $2.2 billion using six sigma from 1987–1991.At GE plant & equipment expense/ depreciation has fallen from 1.2x to .8x
REVENUE GROWTH: At GE Capital, over 50% of six sigma benefit is revenue growth versus cost reduction
NET INCOME: At GE margins have risen from 13.6% to 16.7%.In 1998, GE Capital Invested $82 million for $250 million In incremental net income
DMAIC
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DMAIC Process
Process Improvement — DMAIC
Charter Team, Map Process & Specify CTQ’s
Measure Process Performance
Identify & Quantify Root Causes
IMPROVEDEFINE MEASURE ANALYZE CONTROLInstitutionalize Improvement, Ongoing Control
Select, Design & Implement Solution
• Define Charter
• Voice of customer
• SIPOC• Customer
CTQsderived and documented
• CTQsMeasured
• Process Capability
• Process Stability
• Baseline Sigma Calculated
• Identify, Quantify and Verify Root Causes
• Benefits Estimated
• Cost/Benefit Analysis
• Ongoing Measurement & Monitoring Plan Implemented
• Process Standardized
• Benefits Validated
DFSS
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The Design For Six Sigma Process
Measure Analyze Design VerifyDefine
Critical aspects of the process
• Business case
• Team composition
• Determining the specs – Customer focus
• Optimizing the design
• Assessing risks
• Duration Non-linear process … Iterative.
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Identifying the Key Players
There are six major roles that need to be filled for a successful project.
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Key Roles in Six Sigma
Process Owner – responsible for the business process
Black Belt – full time project leader
Green Belt – part time project participant; trained in Six Sigma
Master Black Belt – expert; counsels Black Belts; trainer
Money Belt – validates financial benefits and costs
Leader or Champion – senior management
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DMAIC Project Selection
Project selection is a critical activity
Develop criteria to be used in project selection and prioritization
If solution is apparent or known, just do itCauses of the problems should be unknownProject should be meaningful and manageableProjects should be very focused; don’t attempt to “boil the ocean”
20 ©2002, TRW. All Rights Reserved
DMAIC Project Selection Criteria
The problem is related to a key business issue
The problem is linked to a clearly defined process (you can identify the starting and ending points)
You can identify the internal or external customerswho use or receive the output from this processYou can clearly identify what a defect is and count its occurrence
You can demonstrate how improvements could enhance financial performance
There is appropriate organizational support
21 ©2002, TRW. All Rights Reserved
Step 1: DEFINE
GoalDefine the project’s purpose and scope and get background on the process and customer
OutputA clear statement of the intended improvement and how it is to be measuredA high level map of the processA list of what isimportant to thecustomer
IMPROVE
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Project Definition
Create a detailed project charter with business caseMost projects evolve. Few are cast in stone from the beginning.In each step, you’ll learn more about what is really going on.
Be open to revisiting the scope, definition, and purpose of the project.
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Project Lifecycle
Target Identified“Bid” Decision MadeProject Awarded
• Plan the Project (Project Start-Up)Develop the Project Plan
• Manage the ProjectWork the PlanStatus the Project Manage ChangeCommunicateManage Risk
• Successfully Complete the Project
Project Management Disciplines
ScopeTimeCostQualityHRCommunicationRiskProcurement
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Six Sigma Project Plan
The project plan should clearly defineWhat is to be done?Who will do it?When it will be done?How much will it cost?How you will KNOW when you are done?
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Completion Criteria
The Project Charter and your plan should be updated to reflect your completion criteria
When is the project over?Six Sigma projects are generally 4-6 monthsSix Sigma projects may spawn follow-on projectsProjects have a defined business case in terms of expected savings
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Stakeholder Analysis
Commitment Analysis: A table that helps you understand how much work needs to be done to achieve desired levels of commitment.
Level of Commitment Sales Mgmt. Cust.
Enthusiastic support Will work hard to make it happenHelp it work Will lend appropriate support to implement solutionCompliant Will do minimal acceptable and will try to erode the standardHesitant Holds some reservations; won't volunteerIndifferent Won't help; won't hurt XUncooperative Will have to be prodded XOpposed Will openly act on and state opposition to the solution XHostile Will block implementation of the solution at all costs
People or Groups
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Team Development Model
Forming
Norming
Storming
PerformingTuckman, 1965
Studying the Process
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SIPOC – A High Level View of Process
Suppliers Outputs CustomersProcessInputsPublic Resources
HR PoliciesHiring Manager
Project Manager
Sub contractors Staffing Needs
Internal Resources
Job Rqmts.
Candidates Qualified Hire
HiringProgram
Staff
Project Manager
Human ResourcesClosed Requisition
Qualified HireDecision to Hire
Process Steps
DevelopProject
Staffing needs
DevelopProject
Staffing needsCreate
RequisitionsCreate
RequisitionsRecruitStaff
RecruitStaff
SelectStaff
SelectStaff
HireStaffHireStaff
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Understanding a Process
To better understand the process:
Create a flowchart of your process.Identify which of your process steps are value-added and which are nonvalue-added.
Determine cycle time and identify bottlenecks.Look for errors or inefficiencies that contribute to defects.
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Types of Flowcharts Useful for Understanding Process Flow
Deployment flowcharts
Activity flowcharts
Sales Technical Shipping Coordinator
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Value-Added and Nonvalue-Added Steps
Value-Added Step:Customers are willing to pay for it.It physically changes the product/the information as regard to content.It’s done right the first time.
Nonvalue-Added Step:Is not essential to produce output.Does not add value to the output.Includes:• Defects, errors, omissions. • Preparation/setup, control/inspection.• Over-production, processing, inventory.• Transporting, motion, waiting, delays.
The Voice of the Customer
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What Is theVoice of the Customer?
The term Voice of the Customer (VOC) is used to describe customers’ needs and their perceptions of your product or service.
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Why VOC Is Critical
VOC data helps an organization
Decide what products and services to offer
Identify critical features and specification for those products and services (Critical to Quality – CTQ)
Decide where to focus improvement efforts
Get a baseline measure of customer satisfaction to measure improvement against
Identify key drivers of customer satisfaction
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VOC Process, cont.Affinity DiagramVOC Plan
C U S T O M E R S
OUTPUTS
Prob
lem
/Def
ects SIPOC Map
Need 1 2
3 4
5
6
REACTIVE PROACTIVE
WHO , WHAT & WHY
SOURCES
SUMMARY
Delighters
Must Be
Kano Model
More Is Better
Tree DiagramVOC Key Issue CTQ
What To Measure(CTQ Performance)
VOC to CTQs – Translating the Business Problem to a Statistical Problem
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Example: CTQ Tree
Need Drivers CTQs
Operator training time (hrs.)
General Specific
Hard to measure Easy to measure
Ease of Operationand Maintenance
Ease of Operation Setup time (minutes)
Operation Accuracy (errors/1000 ops)
Ease of Maintenance
Mean Time to Restore (MTTR)
# Special Tools Required
Maintenance training time (hrs.)
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Step 2: MEASURE
GoalFocus the effort by gathering information on the current situation
OutputBaseline data on current process performanceData that pinpoints problem location or occurrenceA more focused problem statement
IMPROVE
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How Can Data Help You?
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By Showing What Really Is
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Data Helps Us . . .
Separate what we think is happening from what is reallyhappening
Confirm or disprove preconceived ideas and theories
Establish a baseline of performance
See the history of the problem over time
Measure the impact of changes on a process
Identify and understand relationships that might help explain variation
Control a process (monitor process performance)
Avoid “solutions” that don’t solve the real problem
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Preparation for the Analyze Step
Y = f(x1, x2, x3,…,xn)
Y relates to the process output
X relates to the various input and process variables
Understanding the variation in the output variables requires data about the Xs
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What Is Variation?
No two anythings are exactly alike• How a process is
done will vary from day to day
• Measurements or counts collected on process output will vary over time
65
Process data shows how the processvaries over time60
55
50
45
401 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41
Quantifying the amount of variation in a process is a critical step towards improvementUnderstanding what causes that variation helps us decide what kinds of actions are most likely to lead to lasting improvement
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Variation vs. Specifications
The amount of variation in a process tells us what that process is actually capable of achieving
Specifications tell us what we want a process to be able to achieve
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Goal: Minimize Variation
There will always be some variation in a processBut we can work to minimize variation around a target
40
45
50
55
60
65
70
GOAL= reduce variation
Target
1 11 21 31 41 51 61 71 81
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Time Plots (Run Charts)
A time plot is a graph of data in time order.
302010070
80
90
100
110
120
130
140Time Plot of Number of Web Site Hits
June 1–30
Num
ber o
f hits
10)
(/
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Control Charts
Time ordered plot of results (just like time plots)Calculated control limits are drawn on the plot.Centerline calculation uses the mean not the median.
UCL100
90
80
70
60
50
40
30LCL20
10
0J A S O N D J F M A M J J A S O N D J F M
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Frequency Plots (Histograms)
A frequency plot shows the shape or distribution of the data by showing how often different values occur.
Creates a picture of variation.
0
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4:00
4:05
4:10
4:15
4:20
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4:55
4:60
4:65
TargetWeight
Fill Weight (kg.)
Num
ber o
f occ
urre
nces
Ordinance Fill Weightfor JPJ 5” Naval Projectile
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What Is Six Sigma?
Sigma (or σ) is a statistical concept that represents how much variation there is in a process relative to customer specifications
Too much variation Hard to produce output within customer requirements (specifications)
Low sigma values (0–2)
Moderate variation Most output meets customer requirements
Middle sigma values (3–5)
Very little variation Virtually all output meets customer requirements (less than 4ppm outside specifications)
High sigma values (6)
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Where Are Businesses Today?
Experts think most businesses would fall within the 3 to 4 Sigma range today.
DPMO
0
1
10
100
1000
10000
100000
1000000
0 1 2 3 4 5 6 7Process Sigma
IRS an
swers
21% of
calls
Ontime f
light
arriva
ls (al
l carr
iers)
Mishan
dled b
agga
ge (a
ll carr
iers)
Overni
ght d
elive
ry of
1st C
lass M
ail
Correc
t lega
l adv
ice fro
m IRS
Wire tra
nsfer
s
Restau
rant b
ills
Payrol
l proc
essin
g
Domes
tic ai
rline f
atality
rate
(0.43
ppm)
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The Normal Curve and Process Sigma
When continuous data are normally distributed, calculating process sigma is equivalent to finding the area under the normal (or bell-shaped) curve that is outside the spec limits, as depicted in the diagram below.
LSL USL
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Why Use Six Sigma as a Metric?
More sensitive indicator than percentage
Focuses on defectsEven one defect reflects a failure in your customer’s eyes.Common metric makes comparisons easier For instance, which of the following processes performed best?
Percent DPMO σ
93% 66,807 3.0 98% 22,750 3.5 99% 6,210 4.0 99.87% 1,350 4.5 99.977% 233 5.0 99.9997% 3.4 6.0
Process # of Transactions per month
Performance
Calls handled 14,000 10% require transfers
Service calls processed 75 Avg. cycle time of 3 days
Installation of new service 2500 94% first-time through rate
Daily reports 28-31 9 errors per day
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Calculating Process Sigma
1. Determine number of defect opportunities O = ______ per unit
2. Determine number of units processed N = ______
3. Determine total number of defects D = ______ made (include defects made and later fixed)
4. Calculate Defects Per Opportunity ______
5. Calculate Yield ______
6. Look up Sigma in the Process Sigma Table Process Sigma = ______
5
100
7
.014
98.6
3.7
Yield = (1–DPO) x 100 =
DPO = =D
N x O
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The Sigma Scale
DPMO σ
308,537 2 66,807 3 6,210 4
233 5 3.4 6
ProcessCapability
Defects perMillion
Opportunities
(distribution shifted ±1.5σ)
Increase in Sigmarequires exponential
defect reduction
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Step 3: ANALYZE
DoE Data Analysis
IM PRO VE
GoalIdentify deep causes and confirm them with data
OutputA theory that has been tested and confirmed
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Analyze
Develop a focused problem statementOrganize your theories using graphical toolsIdentify potential root causes using process and data analysisTest differences to verify causesUse scatter diagrams to explore relationships between variables
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The Five Whys
To push for root causes, start with your focused problem and then ask WHY five times.Example:Focused Problem: Customers complain about waiting too long to get connected to help desk during lunch hours.
Why does this problem happen?Backup help desk operators take longer to connect callers.
Why does it take backup operators longer? Backup operators don’t know the job as well as the regular operators do.
Why don’t operators know the job as well? There is no special training, no job aids to make up for the gapin experience and on-the-job learning for the backups.
Why don’t they have special training or job aids? In the past, the organization has not recognized this need.
Why hasn’t the organization recognized the need? The organization has no system to identify training needs.
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Looking for Relationships
Graphic displays can help you structure possible causes in orderto find relationships that will shed new light on your problem.
Cause-and-Effect Diagram Tree Diagram
Affinity Diagram
Problem Statement Objective
Means/Objective
Means/Objective
Means/Objective
Means/Objective
Means/Objective
Means
Means
Means
Means
Means
Means
Means
Means
Means/Objective
Verifying Causes
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Analyzing Cause-Effect Data
The type of data you have or will collect determines what tools you can use.
Scatter PlotsFrequency PlotsParetoTables of Results
4 11
19 22
yes no
yes
no
Factor A present?
Fact
or B
pre
sent
?
Continuous Discrete
Con
tinuo
usD
iscr
ete
X data (Potential Cause)
Y da
ta (E
ffect
)
Scatter Plot
Pareto, Table of Results
Experimentation can be used in all cases.
Stratified Frequency Plots
X1
X2
X3
Y Data
Stratified Frequency Plots
Ya
Yb
X Data
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Pareto of Causes
Pareto Analysis may be used to identify the causes that are most often present when the defect occurs:
Computer Downtime August 1–31
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30
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50
Percent of total
10070 90
8060
7050
60
30
40
Hou
rs
20
10 10
00
Sche
dM
ntn
Har
dwar
e Fa
il
Upg
rade
s
Softw
are
Bugs
Pow
er O
uta
Une
xpla
i
Reason
ned
urec
ges
Implement Solutions
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Step 4: IMPROVE
GoalDevelop, try out, and implement solutions that address root causes
OutputPlanned, tested actions that should eliminate or reduce the impact of the identified root causes
Solutions
FMEA
Pilot
Implemen-
tation
IMPROVE
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Generating Solution Ideas
Use what you know about the process and the verified cause(s)Generated ideasCombine and develop ideas into solutions
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Solution Prioritization Matrix
The Solution Prioritization Matrix evaluates each option against a set of weighted criteria:
Solution
A
B
C
D
0.2 1.25 0.3 1.65 0.6Easy Quick Tech Hi Impact Customers
SUM
2.6
3.0 2.4
2.7
19.8
8.25
8.4
4.8
10
13.75
43.6
1.2 2.7 19.8 5.47.5 36.6
32.1
4.2 18.15 5.418.75 47.71.2
Criteria and Weights
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Cost/Benefit Analysis
At this stage, the team has invested a lot of emotional energy into the project, however the merits of their solution may not be obvious to those outside the team.The team might have selected a solution which does not meet the requirements of the business.A formal cost/benefit analysis expresses in financial terms the implications of your solution and helps to mobilize commitment and create buy-in.
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Reducing or Eliminating Risk
By anticipating potential problems, you can often take countermeasures to reduce or eliminate the risks.A common tool for this analysis is Failure Modes and EffectsAnalysis (FMEA).Pilot testing
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The Implementation Plan
A project plan clearly definesWhat is to be done?Who will do it?When it will be done?How much will it cost?How you will KNOW when you are done?
Project Management Disciplines
ScopeTimeCostQualityHRCommunicationRiskProcurement
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Elements of The Plan
Tasks & Timeline Budget & Resources Stakeholders
PERSONor GROUP
Communication& Participation
Finance
Sales
IS
Potential Problems
Aug. Sept. Oct. Nov. Dec. Jan. Feb.Step
How to Check
PLAN ACTUALSChange made
Step Pot.Failure
Pot.Cause
Counter-measures
Expenses
Staff time
xxxxx 00.00 xxxxx 00.00 xxxxx 00.00
Ted 5 hrs
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Stakeholder Commitment
Enthusiastic support Will work hard to make it happen
Help it work Will lend appropriate support
Hesitant Holds some reservations; won’t volunteer
Indifferent Won’t help; won’t hurt
Uncooperative Will have to be prodded
Opposed Will openly act on and state opposition
Hostile Will block at all costs
People or Groups
Sales Mgmt. Cust.Level of CommitmentA table that helps you understand how much work needs to be done to achieve desired levels of commitment.
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Step 5: CONTROLGoal
Use data to evaluate both the solutions and the plans
Validate that all changes adhere to all operating company change control, and compliance requirements
Maintain the gains by standardizing processes
Outline next steps for on-going improvement including opportunities for replication
OutputBefore and After analysisMonitoring systemCompleted documentation of results, learnings, and recommendations
Control
Standardize
DocumentMonitorEvaluate
Closure
IMPROVE
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Standardization & Documentation
Making sure that important elements of a process are performed consistently in the best possible way
Changes are made only when data shows that a new alternative is better
Documentation is key• Making sure documentation is up to date and used
encourages ongoing use of standardized methods
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Monitoring Results
Add more data to an existing run chart or control chart.
Prepare new Pareto charts. Make scale and dimensions the same so you can more accurately judge degree of improvement.
Draw new frequency plotson the same scale as the original plots.
Step 4 changesim plem ented
Before After G ood
}Im provem ent
Target
}Rem aining G ap
AfterBefore
}Im provem ent
A2 A3 A4A1 A2 A1A3 A4
Before After
Project Closure
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Importance of Closure
• About the problem or process being studied• About the improvement process itself
Hand over responsibilities for standardization and monitoring to the appropriate peopleRecognition
Capture the learnings from the initiative
Six Sigma in Summary
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Six Sigma Intangibles
New Ways of Thinking...Customer Thinking (customer specs)Process Thinking (leading indicators)Statistical Thinking (variation)Causal Thinking: Y = ƒ(x1, x2, x3 … xn)Experimental Thinking (data-driven hypothesis testing)Control ThinkingStretch ThinkingCommon language/way of thinking about problemsAccountability Thinking
The real Six Sigma advantage…the transformation of the culture.The real Six Sigma advantage…The real Six Sigma advantage…
the transformation of the culture.the transformation of the culture.
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Six Sigma Hidden Truths
Six Sigma encompasses a broad array of business improvement best practices, some advanced, some common sense
There are many ways to implement Six SigmaPotential gains are just as great in service organizations
as in manufacturing organizationsSix Sigma is as much about PEOPLE excellence as
technical excellenceDone well, Six Sigma can be a very rewarding
experience
Source: The Six Sigma Way; Pande
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Six Sigma is About Business
Six Sigma is not the solution for everything, nor is it appropriate for all organizationsSix Sigma is a framework to improve performance
Six Sigma does not apply to manufacturing onlySix Sigma does apply to every function and business
Six Sigma is not just about statisticsSix Sigma is about Business Performance
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Six Sigma & Project Managers –A Natural Fit
Disciplined, but flexible, methodologyProject focusedProcess focusedRequires the skills in which Project Manager’s
are already proficientCenters on business transformationLeads to greater opportunities in the
organization
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Six Sigma
Questions?
Comments?
Your experiences with Six Sigma?