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    D M A I C

    Project Title: Premium Reduction

    Contract

    Department Customer (internal/external):

    Duration internal: PC&L

    Sponsor:

    CTQ addressed:Eric Crump PC&L Manager - Project Leader

    Marne Cario PC&L General Supervisor

    Business Driver(s) Impacted:

    Project Scope:

    Tools Used

    Define

    actual

    Measure

    actual

    Analyze

    actual

    Improve

    actual

    Control

    actual Control and Response Plan

    Total Months: 6August 2004 - February 2005

    Contract / SIPOC / Graphs

    Preliminary Problem Statement:

    Aug

    Rachel Heidenreich

    PC&L

    Premium / IPM (Internal & External)

    Premium Cost Reduction / IPM Internal And

    External Delivery Improvement

    Donnell Conner

    Champion: Marybeth Cunningham

    Team Members

    Tool Engineer

    MFG Superv isor

    Role

    Dec

    Jim Altier

    Tom Catheline

    William Katko

    John Salerno

    Nov

    Quality Engineer Green Belt Candidate

    Green Belt Re-Certification

    Function

    Manufacturing Support

    Black Belt Candidate

    Process Mapping, Cause and Effect Diagram,

    Data collection Plan, MSA

    DPMO/Capability, Hypothesis Testing/Root

    Cause Analysis

    Solution generate, Pilot on Department 1108,

    Moods Median Test, Test for Equal Variance

    Mar Apr

    Ken Dillon PC&L Scheduler - Project Leader

    Jan Feb

    Chris Kushmaul Master Black Belt

    Master Black Belt

    Shipping Supervisor

    Sep Oct

    In Scope - Reduction of all Premium from Pt 11

    Green Belt Candidate

    Green Belt Re-Certification

    Project Coach

    Green Belt Candidate

    Green Belt Candidate

    Text: Plant has been experiencing high premium transportation over the past 2 years. 2003 premium was over $220,000 and 2004

    premium is over $250,000 thru July. In addition to high premium, Plant 11 has experienced internal and external delivery issues to

    several customers. Delivery Performance has created several concerns from the DCS Business Line because of the impact to their final

    customers.

    The goal of this project is to reduce Premium by 40% and reduce IPM by 45%

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    D M A I C

    $183

    ,411

    $19,

    571

    $11,

    181

    $5,58

    4

    $1,224

    $774

    $200

    $108

    $124$64

    $0

    $20,000

    $40,000

    $60,000

    $80,000

    $100,000

    $120,000

    $140,000

    $160,000

    $180,000

    $200,000

    BehindSchedule

    InternalQuality

    SupplierQuality

    Trans /Customs

    DeliverMiss

    Late Entry Mislabeled Cust. Req /Inv. Adj

    Req /Inventory

    Adj.

    Part Cert.Delay

    Plant Premium 200x Detail

    Data was obtained from the Premium Web Site

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    D M A I CPlant Premium 200x Detail

    $220

    ,019

    $20,

    492

    $7,3

    38

    $1,850

    $1,612

    $1,11

    0

    $65

    9

    $30

    0

    $0

    $50,000

    $100,000

    $150,000

    $200,000

    $250,000

    Behind

    Schedule

    Trans /

    Customs

    Data

    Processing

    Engineering Internal

    Quality

    Deliver Miss Req /

    Inventory

    Adj.

    Tool

    Capacity

    Data was obtained from the Premium Web Site

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    D M A I CPlant 200x Internal IPM

    Data was obtained from the Premium Web Site

    27 0 0 23

    9

    2,04

    7 2,50

    7

    2,16

    9

    4,89

    4

    7,65

    5

    261

    3,83

    4

    2,89

    2

    9,25

    2

    0

    1,000

    2,000

    3,000

    4,000

    5,000

    6,000

    7,000

    8,000

    9,000

    10,000

    Jan Feb March April May June July Aug Sept Oct Nov Dec YTD

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    D M A I CPlant 200x Internal IPM

    Data was obtained from the Premium Web Site

    3,22

    5

    2,20

    6

    508

    799

    2,08

    9

    1,97

    6

    243

    1,596

    0

    500

    1,000

    1,500

    2,000

    2,500

    3,000

    3,500

    Jan Feb March April May June July YTD

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    D M A I CSIPOC

    Process Name: Plant 11 Terminal Manufacturing Process

    Process Owner: Plant 11 Premium Reduction Team

    Suppliers Inputs Process Outputs

    (Providers of the

    required resources)

    (Resources required by

    the process)

    (Deliverables from

    the process)

    Customer Forecast Requirements

    Pulls

    Orders Parts Shipped on Time INTERNAL

    Mexico

    PC&L Production Schedules Mississippi

    Quality PPAP Good Quality Parts

    Tool Release

    Press ReleasePart Inspection (PPC)

    Manufacturing Production Right Quantities

    Tool Room Tools

    Tool & Die Makers Set - UP

    EXTERNAL

    Correctly Labeled Lear

    Tool Engineer Support Yazaki PS&G

    Maintenance Support Condumex

    Change-over

    Terminal Store Matrial Handling

    Shipping

    Develop Store Goal

    Suppliers Raw Material

    Customers

    (Stakeholders who place the requirements on

    the outputs)

    Customer

    Requirements

    Forecast

    Pulls (Internal)

    Orders (External)

    Scheduling

    Manufacuturing

    SHIP

    from

    OHIO

    TERMINALS

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    D M A I C

    Plant Premium Reduction &

    Delivery Improvement

    Measure

    Date: 01 / 06 / 0x

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    D M A I CCause & Effect Diagram

    (Goal Changes)

    (Note comment from Red Tags?)

    (1 - Group with FTQ?) Should add up to

    84

    (1 - Group w / Un-forcasted orders / pulls?)

    PC&L Manufacturing Information Systems

    Customer/Supplier Eng/Tool Room/Maint. Quality

    Why do We havemissed/late

    shipments?

    (x) Lack - Order Fillers

    1

    (x) Critical Parts List

    (x) Terminal StorePicks

    (x) Partial Reels

    (x) Lack - Raw

    Material

    (x) Mtl Movement

    Delays

    (x) LaborAllocation/Job

    (x) OperatorTraining

    (x) Care Insp.Coverage

    (x) Line Insp.Coverage

    (x) Absenteeism

    (x) Uptime

    (x) Lack - RealTime Info

    (x) ShippingPatterns 1

    3

    2

    (x) Scrap

    (x) PressAvai labili ty 4

    2

    1

    1

    7

    (x) InventoryVisibility

    (x) Real Time Data

    (x) Label

    4

    1

    (x) GoalChanges

    Defective

    Raw

    (x) Pull Variations

    (x) Increased Pulls

    (x) UnforseenOrders/Pulls

    5

    2

    6

    ChangeoverTime 6

    Issues Running 2Precious Metal

    Labor

    Resourcing/Job Ass

    6

    Setup Times

    3 ToolAvailabili ty

    6 Tool Capability

    Unplanned 3Mtce. Downtime

    Make vs Buy

    Low Vol. & 4Obsolete Parts

    Spare ToolingParts 4

    Spare Equip.

    Parts

    Mtce. Response

    Time 6

    (x) PPAP

    (x) Red Tags

    (x) FTQ

    3

    1

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    D M A I CData Collection Plan

    Time Period (Y) (X1) (X2) (X3) (X4) (X5)

    Joe Bonneau John Salerno Joe Bonneau Ken Dillion Ken Dillion John Salerno

    Name of Factor: Operator (1) (2) Trial Part Number Time to fill back

    order

    Uptime Set up / Change

    Over

    Tool

    Availability

    Press Availability Spare Tooling Part

    Availability

    Operational Definition

    The uptime of the

    press while the back

    order part number is

    in the machine

    Time to convert

    good part to good

    part

    Sitting on

    ready rack

    Is an acceptable

    press available to

    the run part?

    The time it takes to

    get spare toolign

    when parts are not

    available

    Type of Data: Continuous Continuous Discrete Dicrete Continuous

    Specific to:

    P/N's

    Measure

    Data Collection Plan

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    D M A I C

    Time Period (Y) (X6) (X7) (X8) (X9) (X10)Joe Bonneau Donnell Conner John Salerno Marne Cario Marne Cario Bill Katko

    Name of Factor:Operator (1)

    (2)Trial Part Number

    Time to fill back

    order

    Maintenance

    Response Time

    Tool & Die Response

    Time

    Unforeseen

    Orders / Pulls

    Low Volume Red Tag

    Operational Definition

    Time from

    when a call is

    placed to the

    time the work

    is complete

    The difference in time

    between when a tool

    has failed & marked on

    the board & when the

    machine is running

    Difference

    between the

    forecast & the

    actual pull

    Is this part

    number low

    Volume?

    Is this part red

    tag or care?

    Type of Data: Continuous Continuous Continuous Discrete Discrete

    Specific to:Rounded to the hour

    checked

    Build area

    1118

    First time?

    Quality?

    P/N's

    Measure

    Data Collection Plan

    Data Collection Plan

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    D M A I CGage R & R Study

    Repeatability Within Appraisers

    Appraiser #Inspected

    # Matched % Percent 95.0% CT

    21 30 30 100 (90.5 , 100)

    2 30 29 96.7 (82.8 , 99.9)

    # Inspected # Matched % Percent 95.0% CT

    30 29 96.7 (82.8 , 99.9)

    Appraiser agrees with him / herself trials

    Reproducibility Between Appraisers

    All appraisers assessments agree with each other

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    D M A I C

    Plant Premium Reduction &

    Delivery Improvement

    Analyze

    Date: 03 / 24 / xx

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    D M A I C

    1 4 7 10 13

    95% Confidence Interval for Mu

    1.5 2.5 3.5

    95% Confidence Interval for Median

    Variable: (Y)

    A-Squared:P-Value:

    MeanStDevVarianceSkewness

    KurtosisN

    Minimum1st QuartileMedian3rd QuartileMaximum

    2.6522

    2.5589

    1.6000

    5.2690.000

    3.186092.890368.354191.32074

    1.59636115

    0.30001.00002.30005.4000

    14.0000

    3.7200

    3.3212

    2.7000

    Anderson-Darl ing Normality Test

    95% Confidence Interval for Mu

    95% Confidence Interval for Sigma

    95% Confidence Interval for Median

    Time a Part is on Backorder (days)USL = 2 Days

    DPMO = 1.4

    sigma process

    Descriptive Statistics

    The median t im e for parts on backo rder is 2.3 days. With a target of 2 days

    our process defect rate is 53%

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    D M A I CDescriptive Statistics

    1106010

    14

    12

    10

    8

    6

    4

    2

    0

    Observation

    (Y)

    0.5296

    0.4704

    3.0000

    76.333376.0000

    0.5370

    0.4630

    10.0000

    58.495758.0000

    Approx P-Value for Oscillation:

    Approx P-Value for Trends:

    Longest run up or down:

    Expected number of runs:Number of runs up or down:

    Approx P-Value for Mixtures:

    Approx P-Value for Clustering:

    Longest run about median:

    Expected number of runs:Number of runs about median:

    Run Chart for (Y)

    Our proc ess is stable with no clus ter ing, mixtures, t rends , and osc i l lat ions

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    D M A I CIdentify variation Sources

    Factor Name Data Type Analysis Tools Statistically Significant

    X1 Press Uptime ContinuousSimple Linear RegressionMood's Median Test

    Test for Equal Variances

    No

    X2 Set Up / Change Over ContinuousSimple Linear RegressionMood's Median TestTest for Equal Variances

    No

    X3 Tool Availability DiscreteMood's Median TestTest for Equal Variances

    No

    X4 Press Availability DiscreteMood's Median TestTest for Equal Variances

    No

    X5 Spare Tooling PartAvailability

    Discrete Mood's Median TestTest for Equal Variances

    No

    X6Mantenance ResponseTime

    ContinuousSimple Linear RegressionMood's Median TestTest for Equal Variances

    Yes - Difference in Center

    X7Tool & Die ResponseTime

    ContinuousSimple Linear RegressionMood's Median TestTest for Equal Variances

    Yes - Difference in Center andvariation

    X8 Orders vs. Pulls DiscreteMood's Median TestTest for Equal Variances

    No

    X9 Low Volume DiscreteMood's Median TestTest for Equal Variances

    No

    X10 Red Tag or Care DiscreteMood's Median TestTest for Equal Variances

    No

    X11 Start-Stop Part DiscreteMood's Median TestTest for Equal Variances

    No

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    D M A I CIdentify variation Sources

    X1

    Y1

    9080706050403020100

    30

    25

    20

    15

    10

    5

    0

    S 3.69418

    R-Sq 3.7%

    R-Sq(adj) 2.9%

    Fitted Line PlotY1 = 4.632 - 0.04227 X1

    Data analysis sh ows that machine upt im e and t im e to f i l l a backord er do not

    have a strong c orrelat ion no t stat is t ical root c ause

    Regression Analysis: Y1 versus X1 (Uptime)

    The regression equation is

    Y1 = 4.632 - 0.04227 X1

    S = 3.69418 R-Sq = 3.7% R-Sq(adj) = 2.9%

    Analysis of Variance

    Source DF SS MS F P

    Regression 1 62.52 62.5237 4.58 0.034

    Error 120 1637.63 13.6470

    Total 121 1700.16

    X1 - Uptime

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    D M A I C

    X3

    Y1

    YN

    30

    25

    20

    15

    10

    5

    0

    Boxplot of Y1 vs X3

    Identify variation Sources

    X3 Tool Availability

    No dif ference in either the center (median) or sp read (variat ion) between too l

    Avai lable yes vs. no no t stat is t ical root cause

    Mood Median Test: Y1 versus X3

    Mood median test for Y1

    Chi-Square = 0.00 DF = 1 P = 0.948

    Individual 95.0% CIs

    X3 N Median Q3-Q1 ---+---------+---------+---------+---

    N 7 7 2.35 5.63 (--------*--------------------------)

    Y 55 53 2.30 4.30 (---*--)

    ---+---------+---------+---------+---

    1.5 3.0 4.5 6.0

    Overall median = 2.30

    Test for Equal Variances: Y1 versus X3

    95% Bonferroni confidence intervals for standard deviations

    X3 N Lower StDev Upper

    N 14 2.12450 3.06088 5.31933

    Y 108 3.32853 3.84031 4.52931

    F-Test (normal distribution)

    Test statistic = 0.64, p-value = 0.361

    Levene's Test (any continuous distribution)

    Test statistic = 0.02, p-value = 0.894

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    D M A I C

    X4

    Y1

    YN

    30

    25

    20

    15

    10

    5

    0

    Boxplot of Y1 vs X4

    Identify variation Sources

    X4 Press Availability

    The p values are greater than .05; we accept th e null hypo thesis ~ there is

    no d if ference in backo rder t ime when a press is avai lable yes vs. no

    Mood Median Test: Y1 versus X4

    Mood median test for Y1

    Chi-Square = 1.11 DF = 1 P = 0.293

    Individual 95.0% CIs

    X4 N Median Q3-Q1 ---+---------+---------+---------+---

    N 22 16 1.65 5.00 (---------*-------------------)

    Y 40 44 2.40 4.40 (-----------*------------)

    ---+---------+---------+---------+---

    1.20 1.80 2.40 3.00

    Overall median = 2.30

    A 95.0% CI for median(N) - median(Y): (-1.70,0.60)

    Test for Equal Variances: Y1 versus X4

    95% Bonferroni confidence intervals for standard deviations

    X4 N Lower StDev Upper

    N 38 4.11245 5.18848 6.98004

    Y 84 2.47510 2.90730 3.51331

    F-Test (normal distribution)Test statistic = 3.18, p-value = 0.000

    Levene's Test (any continuous distribution)

    Test statistic = 0.84, p-value = 0.360

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    D M A I C

    X5

    Y1

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of Y1 vs X5

    Identify variation Sources

    X5 Spare Tooling PartAvailability

    Altho ugh the medians appear di f ferent , there is n ot enoug h d ata to stat ist ica l ly

    con clud e there is a dif ference there were only six samples w hen spare

    tool ing was no t avai lab le

    Mood Median Test: Y1 versus X5Mood median test for Y1

    Chi-Square = 0.70 DF = 1 P = 0.401

    Individual 95.0% CIs

    X5 N Median Q3-Q1 -------+---------+---------+---------

    N 2 4 4.30 5.83 (-------------*--------------------)

    Y 54 52 2.30 4.40 (--*-)

    -------+---------+---------+---------

    2.5 5.0 7.5

    Overall median = 2.35

    A 95.0% CI for median(N) - median(Y): (-2.00,9.70)

    Test for Equal Variances: Y1 versus X5

    95% Bonferroni confidence intervals for standard deviations

    X5 N Lower StDev Upper

    N 6 2.34663 4.00221 11.4501

    Y 106 2.46978 2.85313 3.3707

    F-Test (normal distribution)Test statistic = 1.97, p-value = 0.179

    Levene's Test (any continuous distribution)

    Test statistic = 0.52, p-value = 0.472

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    D M A I C

    X6

    >4

    95% Bonferroni Confidence Intervals for StDevs

    Yes

    No

    5.04.54.03.53.02.52.0

    X6

    >4

    Y1

    Yes

    No

    14121086420

    F-Test

    0.124

    Test Statistic 0.67

    P -Valu e 0.197

    Levene's Test

    Test Statistic 2.41

    P-Value

    Test for Equal Variances for Y1

    X6 > 4

    Y1

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of Y1 vs X6 > 4

    Identify variation Sources

    X6 Maintenance ResponseTime

    Stat ist ical Root Cause w ith a p-value of .004 we reject th e nul l hy poth esis;

    there is a dif ference in times. When the maintenance cal l takes over 4 hours

    then the backo rder t ime goes up sig ni f icant ly! !

    Mood Median Test: Y1 versus X6 > 4

    Mood median test for Y1

    Chi-Square = 8.35 DF = 1 P = 0.004

    Individual 95.0% CIs

    X6 > 4 N Median Q3-Q1 -----+---------+---------+---------+-

    No 53 40 1.70 3.00 (---*--)

    Yes 5 17 5.70 4.73 (---------------*-----)

    -----+---------+---------+---------+-

    2.0 4.0 6.0 8.0

    Overall median = 2.30

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    D M A I C

    X7

    >4

    95% Bonferroni Confidence Intervals for StDevs

    Yes

    No

    4.03.53.02.52.0

    X7

    >4

    Y1

    Yes

    No

    14121086420

    F-Test

    0.059

    Test Statistic 1.02

    P -Valu e 0.897

    Levene's Test

    Test Statistic 3.63

    P-Value

    Test for Equal Variances for Y 1

    Identify variation Sources

    X7 Tool & Die Repair Time

    Stat ist ical Root Cause w ith a p-value of .001 we reject th e nul l hy poth esis;

    there is a dif ference in t imes. When the maintenance call takes over 4 hours

    then the backord er t ime goes up

    X7 > 4

    Y1

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of Y1 vs X7 > 4

    Mood Median Test: Y1 versus X7 > 4

    Mood median test for Y1Chi-Square = 11.72 DF = 1 P = 0.001

    Individual 95.0% CIs

    X7 > 4 N Median Q3-Q1 -----+---------+---------+---------+-

    No 22 6 1.00 1.53 (----*---)

    Yes 36 51 2.70 5.00 (---*--------)

    -----+---------+---------+---------+-

    1.0 2.0 3.0 4.0

    Overall median = 2.30

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    D M A I C

    X8

    Y1

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of Y1 vs X8

    Identify variation Sources

    X8 Orders vs. PullsMood Median Test: Y1 versus X8

    Mood median test for Y1Chi-Square = 0.01 DF = 1 P = 0.928

    Individual 95.0% CIs

    X8 N Median Q3-Q1 ---+---------+---------+---------+---

    No 28 28 2.35 3.55 (----------*--)

    Yes 30 29 2.30 4.40 (---------------*-----------------)

    ---+---------+---------+---------+---

    1.40 2.10 2.80 3.50

    Overall median = 2.30

    X8

    95% Bonferroni Confidence Intervals for StDevs

    Yes

    No

    4.03.53.02.52.0

    X8

    Y1

    Yes

    No

    14121086420

    F-Test

    0.273

    Test Statistic 0.76

    P -Valu e 0.299

    Leven e's Test

    Test Statistic 1.21

    P-Value

    Test for Equal Variances for Y1

    No dif ference in either the center (median) or sp read (variat ion) when we ask

    If the pu l l was greater than the order, yes vs . no no t stat is t ical root cause

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    D M A I C

    (X9)

    (Y)

    YN

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of (Y) vs (X9)

    Identify variation Sources

    X9Low Volume

    Mood Median Test: Y1 versus X9

    Mood median test for Y1

    Chi-Square = 1.01 DF = 1 P = 0.315

    Individual 95.0% CIs

    X9 N Median Q3-Q1 -------+---------+---------+---------

    N 53 53 2.35 4.10 (---*-)

    Y 9 5 1.85 6.98 (-----*--------------------------)

    -------+---------+---------+---------

    2.0 4.0 6.0

    Overall median = 2.30

    (X9)

    95% Bonferroni Confidence Intervals for StDevs

    Y

    N

    98765432

    (X9)

    (Y)

    Y

    N

    14121086420

    F-Test

    0.282

    Test Statistic 0.35

    P -Valu e 0.007

    Levene's Test

    Test Statistic 1.17

    P-Value

    Test for Equal Variances for (Y)

    No dif ference in either the center (median) or sp read (variat ion) when we ask

    If the part is low volume, yes vs. no no t stat is t ical root cause

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    D M A I CIdentify variation Sources

    X10 Red Tag or Care

    X10

    Y1

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of Y1 vs X10

    Mood Median Test: Y1 versus X10

    Mood median test for Y1

    Chi-Square = 1.31 DF = 1 P = 0.253

    Individual 95.0% CIs

    X10 N Median Q3-Q1 ------+---------+---------+---------+

    No 21 15 1.85 4.30 (-----------*-------------)

    Yes 37 42 2.40 4.40 (----------*------------)

    ------+---------+---------+---------+

    1.40 2.10 2.80 3.50

    Overall median = 2.30

    X10

    95% Bonferroni Confidence Intervals for StDevs

    Yes

    No

    4.254.003.753.503.253.002.752.50

    X10

    Y1

    Yes

    No

    14121086420

    F-Test

    0.941

    Test Statistic 1.17

    P -V alu e 0.567

    Leven e's Test

    Test Statistic 0.01

    P-Value

    Test for Equal Variances for Y 1

    No dif ference in either the center (median) or sp read (variat ion) when we ask

    If the material had any pieces in redtag, yes vs . no no t stat is t ical root cause

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    D M A I CIdentify variation Sources

    X11Start/Stop Part

    X12

    (Y)

    YesNo

    14

    12

    10

    8

    6

    4

    2

    0

    Boxplot of (Y) vs X12

    Mood Median Test: (Y) versus X12

    Mood median test for (Y)Chi-Square = 3.28 DF = 1 P = 0.070

    Individual 95.0% CIs

    X12 N Median Q3-Q1 ---+---------+---------+---------+---

    No 29 19 1.50 4.60 (-------*--------------------------)

    Yes 29 38 2.40 4.40 (-----------*---------)

    ---+---------+---------+---------+---

    1.20 1.80 2.40 3.00

    Overall median = 2.30

    X12

    95% Bonferroni Confidence Intervals for StDevs

    Yes

    No

    4.03.53.02.52.0

    X12

    (Y)

    Yes

    No

    14121086420

    F-Test

    0.476

    Test Statistic 1.49

    P -Valu e 0.131

    Levene's Test

    Test Statistic 0.51

    P-Value

    Test for Equal Variances for (Y)

    No dif ference in either the center (median) or sp read (variat ion) when we ask

    If this PN was a start/stop part, yes vs. no no t stat is t ical root cause

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    D M A I CAnalyze Take - Aways

    - Maintenance Response Time is a significant contributor toTime to Fill Back Order (Y)

    - Tool & Die repair time is a significant contributor to Time toFill Back Order (Y)

    - Both Maintenance Response Time and Tool & Die Repair

    Time impact Uptime but Uptime alone is not a significantfactor

    - Other potential causes (Xs) did not show significant impactto Time to Fill Back Order

    - This statistical data indicates that in order to reduce the Timeto fill a Back Order, which potentially leads to premium, wemust reduce the Maintenance Response Time and the Tool& Die Repair Time

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    D M A I CNext Steps

    - Continue in the Improve Phase

    - Develop solutions to improve Maintenance Response Timeand Tool & Die Repair Time

    - Collect Data from the Recommended improvement plan

    - Evaluate if corrective actions reduce or eliminate the impactof Maintenance Response Time and Tool & Die Repair Timeon the Time to Fill a back Order / Premium

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    D M A I C

    Plant Premium Reduction

    & Delivery Improvement

    Improve / ControlDate: 05 / 05 / xx

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    D M A I CDevelop Solut ions

    - Tool & Die Repair Time Solutions

    - Dedicated Tool & Die support on all Shifts- Use the Andon System to improve call priorities

    - Die Maker inspects and releases parts in place of a traditional release person

    - Document all Die changes in the log book

    - Dedicated tool makers for different die families

    - Maintenance Response Time Solutions

    - Dedicated Machine and Maintenance Repair support and on all shifts

    - Use the Andon System to improve call priorities

    - PC&L notifies maintenance when a part goes on back order- Maintenance Supervisor copied on all critical parts

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    D M A I CTest Solutions - Pilot

    Subscripts

    95% Bonferroni Confidence Intervals for StDevs

    1108

    1119

    2.52.42.32.22.12.01.91.8

    Subscripts

    Y

    1108

    1119

    2520151050

    F-Test

    0.000

    Test Statistic 1.38P -Value 0.001

    Levene's Test

    Test Statistic 16.49

    P-Value

    Test for Equal Variances for Y

    Results for: 1108 vs. 1119

    Mood Median Test: YMood median test for Y

    Chi-Square = 60.60 DF = 1 P = 0.000

    Individual 95.0% CIs

    Subscripts N Median Q3-Q1 +---------+---------+---------+------

    1119 62 150 2.40 2.68 (-------*-----)

    1108 789 574 1.40 1.80 (-------*

    +---------+---------+---------+------

    1.00 1.50 2.00 2.50

    Overall median = 1.40

    A 95.0% CI for median(1119) - median(1108): (0.60,1.30)

    Test for Equal Variances: Y

    95% Bonferroni confidence intervals

    Subscripts N Lower StDev Upper

    1119 212 2.01797 2.23877 2.51152

    1108 1363 1.82901 1.90766 1.99312

    F-Test (normal distribution)

    Test statistic = 1.38, p-value = 0.001

    Levene's Test (any continuous distribution)

    Test statistic = 16.49, p-value = 0.000

    The p values are less than .05; we reject the null h ypoth esis ~ there is a

    dif ference in backord er. The solut io ns have impacted both var iation and median

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    D M A I CNew Capability Analysis

    Total

    1119

    1108

    Characteristic

    1.920

    1.370

    2.014

    ZBench

    1.500

    1.500

    1.500

    ZShift

    337143

    551887

    303742

    PPM

    0.337143

    0.551887

    0.303742

    DPO

    0.552

    0.304

    DPU

    1575

    212

    1363

    TotOpps

    1

    1

    Opps

    212

    1363

    Units

    531

    117

    414

    Defs

    Capability Analysis

    Applying th e goal of less than 2 days o n backord er the solu t ions implemented

    impro vement ou r process from 1.4 sigma to a 2 sigma process.

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    D M A I CTimeline for Full Solution Implementation

    - Department 11xx was the first module installed.

    - Implementation of the remaining modules that will utilizethese solutions are as follows:

    - Department 11xx will be completely installed by 5/15/xx

    - Department 11xx will be completely installed by 6/1/xx

    - Department 11xx will be completely installed by 8/1/xx

    - Department 11xx (Low Volume) will be completely installed by 10/xx

    - Department 11xx will be replaced by 11xx (8/1/xx)

    - Department 11xx will be replaced by 11xx (6/1/xx)

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    D M A I CFinancial Impact

    - JanuaryApril of 200x compared to JanuaryApril 200x indicates areduction in premium of 16%, 80%, 84.5% and 31.4% respectively.

    - This equates to a 61.9 % reduction in premium over the same four month period.

    - Over the last two months departments without the improvements haveaccounted for significantly more premium than department 110x.

    - Dept 110x Non-Improved Depts

    - March 18.0 % 52.0 % (1119)

    - April 27.8 % 58.9 % (1116)

    - Our implemented solutions improved our process by 30 %- From 1.4 Sigma to a 2.0 Sigma

    - Our implemented solutions reduced our median time to fill a back orderby 41.6 %

    - From a median of 2.4 to a median of 1.4

    - Based on these improvements we conclude that the plant 11 premiumwill be reduced by approximately 34.0 %

    - Based on 200x premium of $308,940, the financial impact will be areduction in premium of $105,040.00 per year.

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    D M A I CContro l Plan

    - Plant xx team should monitor Maintenance Response Timeand tool & Die Repair time.

    - This should be monitored on a monthly basis.

    - If Maintenance Response Time or Tool & Die Repair Time isgreater than 4 hours, plant should investigate root cause

    - Need to determine responsible person (s) to monitor theseissues

    - System generated reports for Maintenance Response Time

    and Tool & Die Repair Time will support in this effort

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    D M A I C

    Back-up

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    D M A I C

    $2,580

    $2,382

    $6,8

    37

    $2,694

    $11,

    420

    $6,8

    37

    $14,

    814

    $3,602

    $1,576

    $678

    $

    512

    $1,552

    $0

    $2,000

    $4,000

    $6,000

    $8,000

    $10,000

    $12,000

    $14,000

    $16,000

    Janu

    ary

    Febu

    rary

    Mar

    chAp

    rilM

    ayJu

    ne July

    Augu

    st

    Sept

    embe

    r

    Octo

    ber

    Nove

    mbe

    r

    Dece

    mbe

    r

    Plant xx- Dept. xxxx Premium in 200x

    Data was obtained from the Premium Web Site

    D M A I C

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    D M A I C

    $2,168

    $456

    $1,056

    $1,847

    $0

    $500

    $1,000

    $1,500

    $2,000

    $2,500

    January Feburary March April

    Plant xx- Dept. xxxx Premium in 200x

    Data was obtained from the Premium Web Site