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OVERVIEW OF SIX SIGMA (6σ) FOR PROCESS IMPROVEMENT Presented by: Larry Bartkus of Biosense Webster and Matthew Thompson of FCI Management Solutions

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  • OVERVIEW

    OF SIX SIGMA (6) FORPROCESS IMPROVEMENT

    Presented by:

    Larry Bartkus of

    Biosense Webster

    and

    Matthew Thompson of

    FCI Management Solutions

  • Goals

    g Introduction to Six Sigma Description Philosophies Benefits Origin Mythsg Identify the five steps of DMAIC, the core of Six Sigma, and

    the logical flow from step to step.g List tools and concepts useful in each step.g Brief introduction to DMADV

  • Six SigmagDescription

    Six Sigma is a quality program that, when all is said and done , improves your customers experience, lowers your costs, and builds better leaders. Jack Welch CEO GE

    Six Sigma is a proven set of tools and tactics used for process improvement, reduction of defects, and improved quality

    Six Sigma uses data and statistical analysis to zero in on root causes

    Six Sigma can be applied to any process

  • 23456

    Defects per

    Million opportunities

    Defects per Million

    opportunities

    308,53766,8076,210

    2333.4 .

    3 to 6 - 20,000 Times Improvement ... A True QFL

    Six Sigma Measurement

    Six Sigma: What Does it Mean

    30%

    6%

    .6%3.8 10,724 1%

    2.5 158,686 16%

  • 99.99966% Good (6 Sigma)

    20,000 lost articles of mail per hour

    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

    Seven articles lost per hour

    1.7 incorrect operations per week

    One short or long landing every five years

    68 wrong prescriptions per year

    99% Good (3.8 Sigma)

    Six Sigma PerformanceSix Sigma Performance

    Most Businesses Operate at about 3.5 Sigma

  • Six SigmagPhilosophies

    When defects occur look to the process for the cause. Excellent processes will allow average people to consistently

    generate superior results.

    gBenefits More loyal and satisfied customers (internal and external) Financial savings through improved efficiency and effectiveness Resolution of chronic problems

    gOrigin The late Bill Smith, a reliability engineer at Motorola, is widely

    credited with originating Six Sigma and selling it to Motorola'slegendary CEO, Robert Galvin.

    gMyths

  • THE DMAIC METHOD

  • Overview of the DMAIC Method

    IMPROVE

    CONTROL

    MEASURE

    ANALYZE

    5

    2

    3

    4

    DEFINE

    1

  • Phase 1: DefineGoal

    g Define the projects purpose and scope and get background on the process and customer

    Outputg A clear statement of the

    intended improvement and how it is to be measuredg A high-level map of the

    processg A list of what is important to

    the customer

    IMPROVE

    CONTROL

    MEASURE

    ANALYZE

    5 1

    2

    3

    4

    Bus

    ines

    sC

    ase

    Proj

    ect

    Char

    ter

    SIPOC

    VOC

    QFDDEFINE

  • Project Charter

    Define

  • DefineDefine MeasureMeasure AnalyzeAnalyze Improve/Improve/InnovateInnovate ControlControl

    Product FlowSIPOC

    Process OutputInput CustomerSupplier

    Planning Level Build Plan Doctors

    Quality

    Engineering

    JCIT

    CapacityRequirements

    Line Design

    ComplianceIssues

    Consulting

    Improved CycleTimes /WIPReductionsReduced QNCs

    Improved Efficiency/Improved Compliance

    Shareholders

    Quality

    Regulatory

    ReceiveFinished Goods

    Trigger

    Cut Work Orderto Line

    Sequence WO'sThrough

    Single Prod.Line

    MarketingForecast

    SterilizeRelease

    Product toFinished Goods

    EXISTING PROCESS FLOW

  • DefineDefine MeasureMeasure AnalyzeAnalyze Improve/Improve/InnovateInnovate ControlControl

    VOICE OF THE CUSTOMER

    Identify hidden non-compliance issuesWhy NotCampaign

    Reduce QNCs

    Create simplified process flow.

    Mitigate opportunity for near miss eventsSimplified Product Flow

    Eliminate product mix-ups

    Compliance to procedures

    Consistency between documents

    Improved Product Build Documentation

    OperationsRapid

    Improvement

    Documentation mirrors process

    Ease of use

    Floor associate buy-in to improving the process

    Input from floor associates

    Reduce process related QNCs by 50%

    Reduce near miss eventsfrom 14 in 2004 to 4 (1 per quarter) in 2005

    Reduce near miss eventsfrom 14 in 2004 to 4 (1 per quarter) in 2005

  • Phase 2: MeasureGoal

    g Focus the improvement effort by gathering information on the current situation

    Outputg Data that pinpoints

    problem location or occurrenceg Baseline data on current

    process sigmag A more focused problem

    statement

    IMPROVE

    CONTROL

    MEASURE

    ANALYZE

    5

    2

    3

    4

    DEFINE

    1

    BaselineData

    Sampling

    Gage R&R

    PatternsCapability

  • D M A I C

    The system to collect information is already established.

    100% of Scrap forms from Work Orders for all products are captured into a Yield Database.

    Scrap form (FORM633) has information as Lot Number, Date, Shift, Product Number, Defect Code, Defect Description, Potential Cause, Work Station ID, Catheter Number, Scrap Quantity, and is signed by operator and supervisor / engineer.

    Yield Database has information as Product Number, Date, Lot Number, Description, Lot Quantity, Reworks, Scrap in Line, and Scrap in QA.

  • Documentation Time StudyAnalyze

    Minutes per Work OrderMaximum = 26.5 min per W/O

    8

    32.5 2.5 2.5 2 2 2 2

    0123456789

    Form

    046

    Form

    335

    Form

    618

    Form

    621

    Form

    617

    Form

    615

    Form

    633

    Form

    616

    Form

    051

    Form

    L

    e

    n

    t

    h

    o

    f

    t

    i

    m

    e

    i

    n

    M

    i

    n

    u

    t

    e

    s

  • Burst Tester Gage R&R

    AnalyzeMeasure Improve ControlDefine

    P

    e

    r

    c

    e

    n

    t

    P a r t- to - P a r tRe p r o dRe p e a tG a g e R& R

    1 0 0

    5 0

    0

    % Co n t r ib u t io n

    % S t u d y V a r

    S

    a

    m

    p

    l

    e

    S

    t

    D

    e

    v

    6

    4

    2

    _S= 3 .4 4 7

    U CL=5 .4 1 8

    LCL=1 .4 7 6

    O p e r a to r 1 O p e r a to r 2

    S

    a

    m

    p

    l

    e

    M

    e

    a

    n

    1 0 0

    8 0

    6 0

    __X= 8 6 .1 0

    O p e r a to r 1 O p e r a to r 2

    U CL= 8 8 .8 1

    LCL= 8 3 .3 8

    O p e r a to r sS e ttin g s

    O p e r a to r 2O p e r a to r 1N o m ina lM in im umN o m ina lM in im um

    1 0 0

    7 5

    5 0

    OperatorsO p e r a to r 2O p e r a to r 1

    1 0 0

    7 5

    5 0

    G a ge na m e : G a ge R &R fo r B urst V a lue s (U n iv e rsa l T ra y )D a te o f study :

    R e po rte d by : J . C ha nT o le ra nce :M isc:

    Co m p o ne nts o f Va ria tio n

    S Cha rt by O p e ra to rs

    Xba r Cha rt b y O pe ra to rs

    Burst By S e ttings ( O p e ra to rs )

    Burst b y O pe ra to rs

    Ga ge R& R (Ne s t e d) fo r Burs t V a lue s

    The total Gage Repeatability and Reproducibility is 12.38%, which is well below the acceptance criteria of less than or equal to 30% of the Total Variation. Measurement system is acceptable.

    The Gage R & R study is able to show that the burst tester is capable of detecting different parts being measured as shown from the data reported by two different operators measuring the samples.

  • Process Capability-Current

    I

    n

    d

    i

    v

    i

    d

    u

    a

    l

    V

    a

    l

    u

    e

    4321

    1.8

    1.6

    1.4

    _X=1.5955

    UCL=1.9437

    LCL=1.2472

    M

    o

    v

    i

    n

    g

    R

    a

    n

    g

    e

    4321

    0.4

    0.2

    0.0

    __MR=0.1309

    UCL=0.4278

    LCL=0

    Observation

    V

    a

    l

    u

    e

    s

    4321

    1.68

    1.60

    1.52

    1.81.71.61.51.41.31.2

    LSL

    SpecificationsLSL 1.13

    2.11.81.51.2

    Within

    O v erall

    Specs

    WithinStDev 0.116076C p *C pk 1.34

    O v erallStDev 0.102049Pp *Ppk 1.52C pm *

    Process Capability Sixpack of C beforeI Chart

    Moving Range Chart

    Last 4 Observations

    Capability Histogram

    Normal Prob PlotA D: 0.350, P: 0.255

    Capability Plot

  • Process Capability Ring 20 Current Marking Method

    0 1 2 3 4 5 6 7 8 9 10

    169.70

    169.95

    170.20

    170.45Xbar and R Chart

    Subgr

    M

    e

    a

    n

    Mean=170.1

    UCL=170.4

    LCL=169.7

    0.0

    0.3

    0.6

    0.9

    R

    a

    n

    g

    e

    R=0.3515

    UCL=0.9050

    LCL=0

    0 1 2 3 4 5 6 7 8 9 10

    Last 10 Subgroups

    169.8

    170.0

    170.2

    170.4

    Subgroup Number

    V

    a

    l

    u

    e

    s

    169.5 170.5

    Capability PlotProcess Tolerance

    I I I

    I I I

    I ISpecifications

    Within

    Overall

    169.5 170.0 170.5

    Normal Prob Plot

    169.6 170.0 170.4

    Capability Histogram

    WithinStDev:Cp:Cpk:

    0.2076470.800.70

    OverallStDev:Pp:Ppk:

    0.1911310.870.76

    Process Capability Sixpack for Prod. Ring20

    DMDMAAII22CC

  • Phase 3: Analyze

    Goalg Identify deep root

    causes and confirm them with data

    OutputgA theory that has

    been tested and confirmed

    IMPROVE

    CONTROL

    MEASURE

    ANALYZE

    5

    2

    3

    4

    DEFINE

    1

    Process

    Analysis

    Multi-Vari

    Organize

    Causes

    Hypothesis

    TestingRegression

    DoE

  • D M A I C

    D-1237-02-SD-1237-01-S

    1.34

    1.32

    1.30

    1.28

    1.26

    1.24

    1.22

    1.20

    1.18

    1.16

    PART NUMBER

    A

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for Short in Ring

    Shif t

    D-1237-01-S D-1237-02-S

    1.00

    1.05

    1.10

    1.15

    1.20

    1.25

    1.30

    1.35

    PART NUMBERA

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for No ReadingShif t

    D-1237-01-S D-1237-02-S

    0.98

    1.08

    1.18

    1.28

    1.38

    1.48

    1.58

    1.68

    1.78

    PART NUMBER

    A

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for Lasso out of RoundnessShif t

    D-1237-02-SD-1237-01-S

    1.35

    1.30

    1.25

    1.20

    1.15

    1.10

    1.05

    1.00

    PART NUMBER

    A

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for Damaged RingShif t

    D-1237-01-S D-1237-02-S

    1.00

    1.05

    1.10

    1.15

    1.20

    1.25

    1.30

    1.35

    PART NUMBER

    A

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for Damaged Spine CoverShif t

    D-1237-01-S D-1237-02-S

    1.0

    1.1

    1.2

    1.3

    PART NUMBER

    A

    v

    e

    r

    a

    g

    e

    p

    e

    r

    W

    O

    1

    2

    Multi-Vari Chart for Tip going BackwardsShif t

  • Benchmarking - InternalS

    t

    r

    a

    t

    e

    g

    i

    c

    A

    d

    v

    a

    n

    t

    a

    g

    e

    Advanced ApplicationsHigh Interactivitye.g. online forms

    Knowledge Mgt hubPrimary Communications

    VehicleContent Rich

    Tier 4Transforming

    Features

    Tier 1Basic Presence

    Basic Company

    Information

    Tier 3Integrating

    CommunitiesAdvanced SearchValue-add tools

    Moderate Interactivity

    PersonalisationExtensive information

    Basic Search

    Tier 2Searching

    Analyze

  • Regression Analysis

    Analyze

    Forecasted Demand08/15/05- 07/15/05

    M o nth

    G

    r

    a

    n

    d

    T

    o

    t

    a

    l

    121086420

    40000

    39000

    38000

    37000

    36000

    35000

    34000

    33000

    32000

    31000

    S 2661.11R -S q 7.0%R-S q(adj) 0 .0%

    F itted L ine Plo tG rand T o tal = 3 4329 + 193 .1 Mon th

    7% Increase in demand/year

  • Design of Experiment

    AnalyzeMeasure Improve ControlDefine

    23 Factorial Design

    Factors Low HighTemperature 245 F 260 F

    Pressure 55 PSI 90 PSITime 2 SEC 3 SEC

  • Design of Experiment

    AnalyzeMeasure Improve ControlDefine

    Hi

    Lo0.00000D

    New

    Cur

    d = 0.00000

    MaximumBurst Va

    y = 94.6429

    2.0

    3.0

    55.0

    90.0

    245.0

    260.0Pressure TimeTemp

    [245.0] [75.0] [3.0]

  • Phase 4: ImproveGoal

    gDevelop, pilot, and implement solutions that address root causes.

    Outputg Identification of

    planned, tested actions that should eliminate or reduce the impact of the identified root causes

    CONTROL

    MEASURE

    ANALYZE

    5

    2

    3

    DEFINE

    1

    Solutions

    FMEA

    Pilot

    Implem

    en-

    tation

    IMPROVE4

  • D M A I C

    Improvement team created with members of Quality, Production, Engineering and R&D areas to propose and evaluate ideas.

    Brainstorming tool was used to gather ideas on how to solve the problems identified.

    Ideas were evaluated per following criteria: feasible, high impact, easy, low cost, and quick.

    Following tables summarizes solutions agreed by consensus of the improvement team.

  • D M A I C

    Add a new hole to apply PU to bond components once they are in place.

    PU is applied before the components are in place and is partially removed during installation of components.

    Lasso to tip method. Defective bonding of Compression Coil and Lasso Stem

    Design a new fixture to hold Nitinol during burnishing.

    Current burnishing method is not ergonomic causing associates make defects after some time.

    Prep. lasso stem method. Poor burnishing of Nitinol wire.

    Train associates on visual acceptance criteria.

    Rejection of good product exposes it to damage during rework operations.

    Some acceptance criteria are not clear for associates.

    PROPOSED SOLUTION

    BRIEF DESCRIPTIONPROBLEM

  • Solutions

    FMEA

    Pilot

    Imple

    men-

    tation

    Solutions

    FMEA

    Pilot

    Imple

    men-

    tation

    RISK 12. Support Plan not in Place

    Description IntegWare does not want to put Biosense Webster in a position of being overly reliant for day-to-day level 1 support of the system after go-live. IntegWare typically suggests that we assume the role of a second level support for a limited number of hours per month. IntegWare suggests it is typical for Day-to-Day (level 1) support will be a highly resource consuming task for three-six months after go-live. To use IntegWare for this might be an ineffective usage of the customer's resources. The project ownership should be transferred to the customer if at all possible.It would be a better usage of the customers resources to ask IntegWare to implement higher value-added initiatives in PDM (such as developing PART/BOM configuration management features, JDE integration, etc.)

    MITIGATION To mitigate this risk, we have discussed a support concept at BWI. This will be a combo function between Doc services (they will handle basic application admin functions) and IM who will handle IT functions.Still need to setup support contract for IntegWare to support system.Celeste has added to the schedule a support contract for level 2 support from IntegWare.

    RISK LEVEL HIGH

    UPDATED 5/2/03

    ASSESSING RISKAn Example:

  • AnalyzeMeasure Improve/ ControlDefine

    Estimated Cost Benefit

    100101

    CMM vs. Estimated Cost Avoidance

    $0

    $1

    $2

    $3

    $4

    $5

    1 2 3 4 5

    M

    i

    l

    l

    i

    o

    n

    s

    Capability Maturity Model (CMM) Level

    C

    u

    m

    u

    l

    a

    t

    i

    v

    e

    C

    o

    m

    p

    l

    i

    a

    n

    c

    e

    R

    i

    s

    k

    (

    $

    )

    Cumulative Risk ($) Compliance Cost

    Risk reduction= $1.7 Million

    1.6 2 .5

  • Pilot/Pilot Plan

    AnalyzeMeasureDefine Control

    Used Japan Custom line as a pilot- Medium size production line- Minimize the production Impact

    Kanbans Cards

    Signals, Lights

    Performance Measures

    Improve/

  • Phase 5: ControlGoal

    g Use data to evaluate both the solutions and the plansg Validate that all changes adhere to

    all operating company change control, GMP, and compliance requirements gMaintain the gains by

    standardizing processesg Outline next steps for on-going

    improvementOutput

    g Before-and-After analysisgMonitoring systemg Completed documentation of results,

    learnings, and recommendations

    IMPROVE

    CONTROL

    MEASURE

    ANALYZE

    5

    2

    3

    4

    DEFINE

    1C

    ontrol

    Standardize

    Document

    Monitor

    Evaluate

    Closure

  • D M A I C

    All new tooling, processes, clarifications, and visual aids documented in PIs.

    Creation of MOPXXX with all the quality criteria for Variable Lasso Deflection and Contraction performance.

    MOP003 updated with reference to new created MOPXXX.

    PU quality criteria documented in WSS001 and available in QA workbenches.

  • D M A I C

    Yields Chart is published every week.

    Work Orders Built

    Yield Goal

    Scrap Produced

    Yield Actual

  • I-MR Charts of Burst Tester

    AnalyzeMeasure Improve ControlDefine

    Burst Values

    I

    n

    d

    i

    v

    i

    d

    u

    a

    l

    V

    a

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    u

    e

    302928272625242322212019181716151413121110987654321

    115

    110

    105

    100

    _X=105.88

    UCL=113.76

    LCL=97.99

    Observation

    M

    o

    v

    i

    n

    g

    R

    a

    n

    g

    e

    302928272625242322212019181716151413121110987654321

    10

    5

    0

    __MR=2.97

    UCL=9.69

    LCL=0

    Universal Tray Packaging (CA Sealer)In-H20

    Burst ValuesI

    n

    d

    i

    v

    i

    d

    u

    a

    l

    V

    a

    l

    u

    e

    302928272625242322212019181716151413121110987654321

    110

    105

    100

    95

    _X=100.72

    UCL=109.68

    LCL=91.76

    Observation

    M

    o

    v

    i

    n

    g

    R

    a

    n

    g

    e

    302928272625242322212019181716151413121110987654321

    12

    8

    4

    0

    __MR=3.37

    UCL=11.01

    LCL=0

    Universal Tray Packaging (Juarez Sealer)In-H20

  • Lessons Learned

    Culture shock Resources Scope creep / Identifying the critical few Management buy-in of change of policies Time management & deliverables challenges J&J Goals too high for small operating company (CMM

    goal of Level 3 per J&J Corp Strategy) Difficult to measure compliance

  • Project Closure

    gImprovement must be continuous, but individual initiatives and project teams come to an end.gLearn when its time to say goodbye.gEffective project closure weaves together the themes

    of: Project purpose. Improvement methods. Team skills and structures.gDevelop managerial systems to capture learnings and

    enable the organization to address system issues.gDocumentation and recognition are two critical aspects

    of project team closure.gCelebrate!

  • DMAIC Pathway

  • New product Development - DEx Roadmap - DMADV

    DEFINE Develop the Business Case, Scope & Charter the Project MEASURE Gather & Quantify Design Inputs (Customer, Technical, Business,

    Regulatory) ANALYZE Develop and Investigate Conceptual Designs DESIGN Develop Detailed Product/Service/Process Designs VERIFY/VALIDATE Confirm design outputs meet design input requirements and

    ensure specifications conform with intended uses and users; Scale-up manufacture and release the product or scale-up and implement the new process; Finally, transfer to process owners

    Verify/ Verify/ ValidateValidateDesignDesignAnalyzeAnalyzeMeasureMeasureDefineDefine

  • Opportunity

    Define

    Measure

    Analyze

    Design

    Verify/Validate

    Transfer

    DEx MethodologyIDTask Name1 ID Customers2 ID Needs3 ID CCRs4 Review5 Develop Concepts6 High-Level Design7 Capability8 Design Review9 Develop Details

    10 Simulation11 Cost Analysis12 Design Review13 Procurement14 Implementation

    SepOctNovDecJanFebMarAprMayJunJulAugSepQtr 4, 1999Qtr 1, 2000Qtr 2, 2000Qtr 3, 2000

    Business CaseGoal StatementProject Plan

    Opportunity StatementProject ScopeTeam Selection

    Team Charter

    Generation 1Generation 2Generation 3

    Vision

    Product/ServiceGeneration

    Technologies/Platforms

    Theme 1

    Need 1 Need 2

    Theme 2

    Need 3 Need 4

    Need 5

    Theme 3

    Need 7

    Need 8

    1

    CustomerRequirem

    ents(V)

    3Characteristic/Measur

    es (how)(I)

    Target goals

    7Correlatio

    n (I)

    2

    CustomerRating(B) (V)

    4

    Relationships(What vs.

    How)(I)

    6

    5

    I

    m

    p

    o

    r

    t

    a

    n

    c

    e

    (

    V

    )

    How importantTargets/Specs(B)(I)Technical Evaluation (B)

    Measures(Hows)

    C

    u

    s

    t

    o

    m

    e

    r

    n

    e

    e

    d

    s

    (

    W

    h

    a

    t

    s

    ) House Of

    Quality #1

    Criticalprocess characteristics

    (Hows)

    M

    e

    a

    s

    u

    r

    e

    s

    (

    W

    h

    a

    t

    s

    ) House Of

    Quality #2

    Creative Techniques

    Experimentation

    Proto

    typing

    Customer Trials

    Design PrinciplesBen

    chmark

    ing

    TRIZ

    White Red Black Blue Green Yellow

    Start With What You

    Know

    Get Other Perspec-

    tives

    Non-Linear Thinking Build on Ideas

    Combine Ideas Compare

    FAULT TREESYSTEM

    RELIABILITY PREDICTION

    SystemFailure

    PumpP1

    Fails

    PumpP2

    Fails

    PumpV1

    Fails

    PumpV2

    FailsR = RBil X (1 - (1-Rp)2) x

    (1 - (1-Rv)2)

    PumpsBilge Valves

    P1

    P2

    V1M

    V2M

    BilgeFailure

    PumpFailure

    ValveFailure

    Time (t)

    H

    a

    z

    a

    r

    d

    R

    a

    t

    e

    -

    h

    (

    t

    )

    Random FailuresEarly

    FailuresWearou

    t Failures Proce s s 2

    Proces s 1

    Proces s 3

    Worke r 1Ins pe c tor 1

    Worke r 2Ins pe ctor 2

    Worke r 3

    Inspe cto r 3

    Re corde r 3

    Re corde r 2

    Re cord e r 1

    Card

    Ins pe c t 1

    Inspe ct 2

    Inspe ct 3

    Card Drop Shop - Proces s Mode l

    Re corde rs

    Worke rs

    Ins pe ctors

    DevelopProcess

    Control Plan

    ErrorProofing andContingency

    Planning

    DetailedDesignReview

    Prepare PilotTest Plans

    Act Plan

    Check Do

    Start

    Type of data

    ?

    Counting items with an

    attribute or countingoccurrences?

    Equalsamplesizes

    ?

    Equal opportunity

    ?

    Continuous

    Yes

    No

    Yes

    Rational Subgroups

    Discrete

    Yes

    No

    No

    Do limits look right?

    Try individuals charts

    Need to detect small shifts

    quickly?

    Individual measurements or subgroups

    ?

    Do limits look right?

    YesNo

    Either/Or

    No

    Yes

    Individualmeasurements

    OccurrencesItems withattribute

    p chart

    Try transformation to make data normal

    no chart u chart c chart X, R or s chart

    Individualscharts

    EWMAchart

    Unstable (Not in control)

    Stable (In control)

    Within spec limits

    Upper Spec

    Lower Spec

    Upper Spec

    Lower Spec

    UCL

    LCL

    UCL

    LCL

    Outside spec limits

    Upper Spec

    Lower Spec

    Upper Spec

    Lower Spec

    UCL

    LCL

    UCL

    LCL

    Type of Design

    P

    r

    o

    d

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    Type of Design

    Design Elements

    P

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    1. H\W Products

    2. S\W Products

    3. Services

    4. Analyses

    5. Information Systems

    6. Processes and Methods

    7. Human Resources

    8. Site \ Facilities

    9. Equipment \ Tools

    10. Materials \ Supplies

    11. Sales \ Marketing

    12. Other Non-Technical

  • Question & Answer