+ All Categories
Home > Documents > Utilizing current test strategies to drive diagnostics ......•Multiple design teams, multiple...

Utilizing current test strategies to drive diagnostics ......•Multiple design teams, multiple...

Date post: 28-Jan-2021
Category:
Upload: others
View: 1 times
Download: 0 times
Share this document with a friend
28
Utilizing current test strategies to drive diagnostics development, deployment and support through software tools
Transcript
  • Utilizing current test strategies to drive diagnostics development, deployment and

    support through software tools

  • NDIA October 2006

    Answer on a student’s Geometry test

    So Why Is it So Hard To Understand or Do we Just Make It Hard?

  • NDIA October 2006

    Using The Learning Organization Process to Improve

    External/Internal Disturbances

    Understanding

    Behavior

    Data

    Physics

    Act

    Analyze

    Measure

    Predict

    Decide

    LearnKnowledge

    Results

    Object of Interest

    TheoryExperiment

  • NDIA October 2006

    So Why Do We Test…….

    - To Measure the Health of the Process- To Reduce Risk of Variability

    - To Identify ProblemsRisk

    Design ManufacturingValidation Support

    Verify Design

    Ship Product that Works

    Warranty Cost

    Meet Spec

  • NDIA October 2006

    The Problem

  • NDIA October 2006

    How Much is Really at Risk ?

    75%

    80%

    85%

    90%

    95%

    100%

    0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%

    Shipped Defect Rate Exposure

    Yiel

    d at

    Tes

    t Sta

    ge

    50% Coverage 60% Coverage 70% Coverage80% Coverage 90% coverage

    1.0%

  • NDIA October 2006

    EffectivenessEffectiveness Effectiveness

    Faul

    t Sp

    ectr

    um

    Typical Test Strategy

    Characteristics:Broad coverage at each testHigh level of redundant testLeakage of early defects caught later by testFault coverage is unpredictable

    SubAssy

    Top Level Assy

    Ship

    Repair

    TestSMT

    Repair Repair

    Test Test

    Faul

    t Sp

    ectr

    um

    Faul

    t Sp

    ectr

    um

    Effectiveness

    Faul

    t Sp

    ectr

    um

  • NDIA October 2006

    Process Test Coverage Redundancy

    • Insufficient• Excess• Cold Solder• Marginal Joints• Voids

    • Shorts• Open

    • Missing• Gross Shorts• Lifted Leads• Bent Leads•Excess•Bridging

    •Tombstone•Misalignment

    •Polarity, Extra Part,•Non-Elec. parts•Bypass Caps, L’s•Lifted Power/Gnd

    • Inverted•Polarity

    • Dead Part• Wrong Part• Bad Part• Short/Open on PCB• Functionally Bad

    Solder

    Correctness

    Electrical

    AOI

    ICT X-Ray

    Functional

  • NDIA October 2006

    Functional

    5.5%Unique Coverage3.9% (FA)

    Correctness

    AOI

    5.0% Unique Coverage2.8% (FA)

    Solder 66.6%Unique Coverage33.5% (FA)

    X-Ray

    ~10% NOT COVERED

    Example Design CoverageICT → AXI → AOI → Functional

    Electrical12.2%Unique Coverage51.1% (FA)

    ICT

  • NDIA October 2006

    ICT

    Electrical

    0.9% UniqueCoverage2.9% (FA)

    Solder X-Ray44.0%Unique Coverage

    Correctness AOI

    3.2% Unique Coverage

    ~10% NOT COVERED

    Example of CoverageFunctional → AXI → AOI → ICT

    Functional41.2% Unique Coverage

  • NDIA October 2006

    What is Needed

  • NDIA October 2006

    Coverage Mapping and What We Know

    Process Test Coverage (Static) -Functional Coverage (Dynamic) -

    A

    B

    C

    Input

    Fail

    Pass

    Pass

    X +/- %

    Y +/- %

    Z +/- %

    Output

    C1

    T1

    IC3HY1

    IC1 T1

    C1

    IC2

  • NDIA October 2006

    X +/- %

    Y +/- %

    Z +/- %

    Output

    C1

    T1 IC2

    IC3HY1

    IC1 T1

    C1

    Process Test Coverage (Static) -Functional Coverage (Dynamic) -

    A

    B

    C

    Input

    Fail

    Pass

    Pass

    Coverage Mapping and What We May Know

    ??

    ?? ??

    ??

  • NDIA October 2006

    Process Test Coverage (Static) -Functional Coverage (Dynamic) -

    A

    B

    C

    Input

    X +/- %

    Y +/- %

    Z +/- %

    OutputT1 IC2IC1

    IC3HY1

    Fail

    Pass

    Pass

    80%

    20%

    Coverage Mapping and What We Want to Know

    C1

    Possible NTF

  • NDIA October 2006

    The Answer

  • NDIA October 2006

    Desired Production Test Process

    Characteristics:Test in right placeMinimize redundant testEffectively catch defects at originFault coverage is predictable

    SubAssy

    Top Level Assy

    Ship

    Repair

    TestSMT

    Repair Repair

    Test Test

    EffectivenessEffectiveness

    Effectiveness

    Faul

    t Sp

    ectr

    um

    Faul

    t Sp

    ectr

    um

    Faul

    t Sp

    ectr

    um

    Effectiveness

    Faul

    t Sp

    ectr

    um

  • NDIA October 2006

    What is Needed For Effective Test Strategies•A common Framework for describing Test Strategies.•Standardized documentation for test.•Metrics to make test tradeoffs between test strategies (AXI, AOI, ICT, Functional, etc) for gaps and overlaps.•Ability to simulate a Test Strategy as the product is being developed to feedback DFX input.•A consistent, repeatable process throughout the product life cycle.

    What is not needed is…….•An automated way to develop test plans•A tool to eliminate the need for test developers

  • NDIA October 2006

    HIGH98%HIGH98%HIGH98%HIGH98%HIGH98%4Analog LIBMED90%MED90%MED90%MED90%HIGH90%4Other LIBHIGH100%HIGH100%HIGH100%HIGH100%HIGH100%28Other LIBLOW82%LOW82%LOW82%POOR81%HIGH81%6Other LIBLOW88%MED91%LOW88%LOW88%HIGH88%5Analog LIBHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%24Other LIBHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%6Mixed LIBHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%6Digital LIBHIGH100%HIGH100%HIGH100%HIGH100%HIGH100%4Other LIBHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%28Other LIBMED95%MED95%MED95%MED95%HIGH95%4Other LIBLOW83%LOW83%LOW83%LOW83%HIGH83%6Mixed LIBLOW82%LOW82%LOW82%POOR76%LOW38%80Other LIBHIGH95%HIGH95%LOW82%POOR76%NO0%6Digital LIBHIGH95%HIGH95%LOW82%POOR76%NO0%6Digital LIBLOW82%HIGH95%LOW82%POOR76%NO0%6Digital LIBHIGH95%HIGH95%LOW83%LOW83%HIGH83%8Digital LIBMED95%MED95%MED95%MED95%HIGH95%24Other LIBHIGH100%HIGH100%LOW86%LOW86%HIGH86%48Digital LIBHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%6Other LIBMED95%MED95%MED95%MED95%HIGH95%28Mixed LIBLOW83%LOW82%LOW83%POOR79%NO0%1Single PinLOW82%LOW82%LOW82%POOR76%NO0%5Other LIBLOW82%LOW82%LOW82%POOR76%NO0%2ConnectorHIGH100%HIGH100%HIGH100%HIGH100%HIGH100%10Other LIBMED93%MED93%MED93%MED93%HIGH93%6Analog LIBMED95%MED95%MED95%MED95%HIGH95%5Analog LIBHIGH100%HIGH100%HIGH100%HIGH100%HIGH100%2ResistorHIGH98%HIGH98%HIGH98%HIGH98%HIGH98%2ResistorLOW83%MED94%LOW83%POOR79%NO0%2ResistorLOW83%MED94%LOW83%POOR79%NO0%2ResistorMED95%MED95%MED95%MED95%HIGH95%2ResistorMED94%MED94%LOW83%POOR79%NO0%2Resistor

    GradeScoreGradeScoreGradeScoreGradeScoreGradeScorePinsType

    FT+AXI+AOI+ICTCurrent Access

    FT+AXI+AOI+ICTFull Access

    FT + AXI + AOIFT + AXIFunctionalCoverage

    Component

    Sample of Product Coverage Mapping

  • NDIA October 2006

    Test Optimization Software: Knowledge Transfer

  • NDIA October 2006

    •Multiple design teams, multiple locations, using common design rules, common design tools for uniform test strategies.

    •Transfer product designs, processes, test and repair knowledge in a predictable, repeatable manner to anyone anywhere.

    •Model, simulate and predict test performance, quality, and cost drivers.

    •Deliver manufacturing specifications without flying engineers everywhere.

    •Have a common language for communicating product/process functionality.

    •Consistent repair and diagnostic process with no variability, any time, any where and by anybody.

    Elements for a true Product Life Cycle Test Strategy

  • NDIA October 2006

    Example of Change

  • NDIA October 2006

    Using The Learning Organization Process to Improve

    Act

    Decide

    Knowledge

    External/Internal Disturbances

    Learn

    Effectiveness

    Faul

    t Sp

    ectr

    um

    Effectiveness

    Faul

    t Spe

    ctru

    m

    HIGH98%HIGH98%HIGH100%HIGH100%LOW82%POOR76%LOW82%POOR76%MED90%MED90%LOW82%POOR76%LOW82%POOR76%

    Measure

    Analyze

    Understanding

    Predict

    X-Ray ICT

    AOI Func

    Object of Interest

    FailPass

    Pass

    ?? ??

    ????

    Behavior

    Results

    80%

    20%

    FailPass

    Pass

  • NDIA October 2006

    Original Manufacturing Flow

    Yield= 67% Yield= 86% Yield= 96%Yield= 0% Yield= 78%

    Pristine Yield= 43%

    DIAGNOSE

    REPAIR

    RE-T

    EST

    6Days

    DIAGNOSE

    REPAIR

    RE-T

    EST

    30Mins

    DIAGNOSE

    REPAIR

    RE-T

    EST

    1Day

    DIAGNOSE

    REPAIR

    RE-T

    EST

    4Days

    DIAGNOSE

    REPAIR

    RE-T

    EST

    2Days

    DT

    DT

    Thru-HoleSMT MDAI I

    SRU Assembly

    Cells

    SRU Cell Test

    LRUAssembly

    Cell

    LRU CellTest

    Final System Assembly and Configuration

    Final Assembly

    System TestShipESS

    LRU CellTest

    Repair Diagnostics

    Repair Diagnostics Repair Diagnostics Repair DiagnosticsRepair Diagnostics

    RepairRepair

    Pristine Yield= 0%

    0% 20% 40% 60% 80% 100%

    Solder/Workmanship

    Wrong/Bad Parts

    Placement

    Other

    LRU

    SRU

    Distribution of Defects by Symptom

    Complexity and Variability at Every Step

  • NDIA October 2006

    Redesigned Manufacturing Flow

    Thru-HoleSMT MDA

    SRU Assembly

    Cells

    SRU Cell Test

    LRUAssembly

    Cell

    Final System Assembly and Configuration

    Final Assembly

    System TestShipESS

    LRU CellTest

    Repair DiagnosticsRepair Diagnostics

    DT

    XRAY

    Repair Repair Diagnostics

    DIAGNOSE

    REPAIR

    RE-T

    EST

    15Mins

    DIAGNOSE

    REPAIR

    RE-T

    EST

    30Mins

    DIAGNOSE

    REPAIR

    RE-T

    EST

    60Mins

    DIAGNOSE

    REPAIR

    RE-T

    EST

    60Mins

    Yield= 95% Yield= 98% Yield= 98%Yield= 80% Yield= 98%

    Pristine Yield= 72%

  • NDIA October 2006

    What is the impact of Efficient Test and Effective Diagnostics?

    Increase in quality and reduction in diagnostic and repair of products

    $.67 Million

    Increase productivity of production lines due to increased test capacity (20% * 200 units/yr * $20K/unit)

    $.8 Million

    Savings in elimination of new tests and testers at SRU (at $500K) and LRU (at $1,000K) test cells* (($500K * 4 + $1,000 * 4) * 25%)Reduction in total cycle time due to increased quality and re-alignment of processes ( 5days * $240day * 960 units/year )

    $1.15 Million

    $1.50 Million

    5 year ROI

    Financial Impact of Redesign Flow

    $2.62 Million First Year

    $16.3 Million

  • NDIA October 2006

    Conclusion

  • NDIA October 2006

    Leverage Points in the Product Life Cycle

    80-90% of manufacturing cost determined before QUAL90% of achievable first pass yield determined by QUAL80% of potential profitability fixed at DEV80% of MTBR determined before DEV

    DevelopmentConcept DefinitionInvestigation FirstProduction

    Shipment SupportLifeHW Qualification

    STRTSTRT DEFDEF DEVDEV QUALQUAL SHPSHP SUPSUP CLOCLO

    SW Qualification

    Current tools will allow you to leverage these advantages by:Eliminating Complexity and VariabilityEnsuring Efficient and Effective Test Strategies before releaseDeveloping Automated Diagnostics with little additional

    resources during developmentUsing Test and Diagnostics as part of a learning organization

    throughout the total product life cycle to leverage Results!!

  • NDIA October 2006

    Questions???


Recommended