teck see plastic sdn. bhd
DESCRIPTION
Prepared By. Checked By. Approved By. TSP ZAMRIE QA. TSP RH BOON S.O.M. TSP HM THAM GM. MOHD. ZAMRI. RH BOON. HM THAM. TECK SEE PLASTIC SDN. BHD. Project Number: 01 Project Name : To reduce LCD Chopin Rear Cover Painting Defect Green Belt Name: Mohd. Zamri - PowerPoint PPT PresentationTRANSCRIPT
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TECK SEE PLASTIC SDN. BHD
Project Number : 01Project Name : To reduce LCD Chopin
Rear Cover Painting DefectGreen Belt Name : Mohd. ZamriChampion : Mr. HM ThamDepartment : QA
Prepared By Checked By Approved By
MOHD. ZAMRI
TSPZAMRIE
QA
TSPRH BOON
S.O.M
TSPHM THAM
GM
RH BOON HM THAM
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To reduce cost of poor quality & effects.
To reduce DPPM from 76000 to 19000 ( 75% improvement)
To minimize risk of NG parts skip to customer.
1. Reject rate for Aug/Sept.2005 is 7.6 %2. DPPM = 76,0003. Many complaint from SDMA during LSR
PROJECT MISSIONPROJECT MISSIONPROBLEM STATEMENT
MISSON STATEMENT
1.
2.
3.
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-Raw material.-Part of parts-Equipment-Sub store-Tooling
-PP & C-SOP-Specification-Semi Finished Goods-Special requirement
-Outgoing inspection-SDMA
Production outputReject quantityProduction efficiencyPlant efficiency
CustomerSupplier Input OutputProcess
High Level Process Map - SIPOC
Part confirmationSpray
painting
Assembly
Inspection
Packing
Printing
Incoming Material
Drying
Production checker
End
Project Drill Down Tree
PROJECT STATEMENT
TSP Big - Y TSP Mega Project
TSP Q100 Project
TSP Small - Y
Project Name :
To reduce LCD Chopin Rear Cover Painting
Defect
Problem statement
( Data collection period : 15/8/05 until 9/9/05 )( Date source : QC dept )
SECONDARY PROCESS DEFECT TREND
7.95 7.62
17.43
10.79 10.66
5.456.75 6.09
4.01
0
200
400
600
800
1000
1200
1400
1600
1800
1 2 3 4 5 6 7 8 9
QUAN
TITY
(PCS
)
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
18.00
20.00
DEFE
CT %
Prod. Qty Rej.qty Def.%
DEFECT CATEGORY BREAKDOWN
Painting, 467 pcs = 84%
Handling, 64, 12%Moulding, 8, 1%Assembly, 6, 1%
Others, 10, 2%
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Expected COPQ Saving :RM 106,756.67 / Year @ USD 28,093/ Year
Project Justification
Strategic Importance:• Enhance customer satisfaction • Good image – Better business allocation• Profitable business • Maintain market competitiveness
Expected Result :
(Baseline period Aug 05 until Sept 05) Data source PP&C & QC Dept
COPQ Calculation :[ Baseline DPPM – Target DPPM / 1000000 ]x Yearly production quantity x
[ (Average Repair cost per unit + Labour Manhour Cost) x No. of manpower] =
[ 76000 – 19000 / 100000 ]x 1,200,000 x [(RM 2.6077 + RM 15) x 1)= RM 106,756.67 / Year
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Measure Baseline Performance BASELINE
COPQ : USD 3153.49 / Month RM 11667.90 / MonthDPPM : 76000Sigma Level : 2.93
IMPROVEMENT
COPQ Saving : USD 2365.11/Month RM 8749.90 / Month
DPPM : 57000Sigma Level : 0.64
TARGET
COPQ : USD 788.38 / Month RM 2918 / MonthDPPM : 19000Sigma Level : 3.57
BASELINE (PERIOD : SEP 2005) TARGET IMPROVEMENT
CHAMPION
Mr. HM Tham
S-Green Belter
Mohd. Zamri
DATA ANALYSIS
Ms. AzahControl of incoming parts quality• Liase with customer & supplier for any quality issue.
•Control of tooling,,machine & manpower• Analysis & improvement on technical matter.
•Process management• Secondary process improvement
MentorMr. Alfizal
Sr. Op. Manager
Mr. RH Boon
•Data collection • Analyze data using statistical tool
TECHNICAL
Mr. AnandPROCESS
Mr. Cheng
SUPPLIER & CUSTOMER
Mr. Kamarudin
Project Team
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Measure Baseline Performance BASELINE
COPQ : USD 3153.49 / Month RM 11667.90 / MonthDPPM : 76000Sigma Level : 2.93
IMPROVEMENT
COPQ Saving : USD 2365.11/Month RM 8749.90 / Month
DPPM : 57000Sigma Level : 0.64
TARGET
COPQ : USD 788.38 / Month RM 2918 / MonthDPPM : 19000Sigma Level : 3.57
BASELINE (PERIOD : SEP 2005) TARGET IMPROVEMENT
BASELINE VS TARGET SETTING
RM 2918PER MONTH
RM 11667.9PER MONTH
0
2000
4000
6000
8000
10000
12000
14000
BASELINE TARGET
COPQ
0
10000
20000
30000
40000
50000
60000
70000
80000
DPPM
COPQ DPPM
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Problem statementCo
unt
Perc
ent
DEFECT
Count 12 21Percent 24.0 12.6 12.6 12.2 11.3 9.7 7.7
1324.0 2.2 3.8
Cum % 24.0 36.6 49.2 61.4 72.7 82.3
69
90.0 94.0 96.2 100.0
69 67 62 53 42 22
600
500
400
300
200
100
0
100
80
60
40
20
0
Pareto Chart of CHOPIN 17 RC DEFECT
Dust Overspray Sanding mark Borderline Rough surface Miss spray
PAINTING DEFECT SAMPLE
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START OUTPUTINPUT
V A
Map Actual Process
Bare part check
Assembly
QC Inspection
Packing
Oven drying
V ANV A
V A
V A
V A
• Bare part flashing requires to sanding
Spray painting
Input check
Rework
NV A
End
N V A
NV A• Overall molding part quality Sanding &
treatment• Paint material quality• Spray painting equipment• Spray booth condition• Painting jig• Spray method
• Drying temperature• Drying time
• Inspection method• Judgment criteria
• Inspection method• Judgment criteria
• Incoming POP quality• Assembly method
• Packing material condition• Judgment criteria
Incoming material
• Parts dusty & sanding mark
•After secondary process parts quality
• Good & NG part
• Paint reliability
• Only good parts input to line• Segregate NG part to rework
• Good part for delivery
• Rubber foot assy• Button melting
• Good & NG part
V A
NV A
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Map Actual Process
Injection Moulding Bare part Spray Input check
Oven Drying
QC InspectionPacking Incoming Part After Spray
Button Melting
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HIGH PAINTI
NGDEFEC
T
DUST/FIBER
BORDERLINE
Improper masking due topoor jig design
Paint miss clogged at masking area
Dust from paint due
Hairline flashingPaint tank not clean
Improper paint filtering
Air hose & gun dirtySpray booth dusty
Drying oven dustyParts have high staticcharges
Dust not properly Clean after sanding
Spray method
OVER SPRAY
Masking condition not fully cover
Jig design
Conveyor dirty
Touch up without jig
support base touch at parting line
Hanger dirty
Excess paint at jigSpray method
SANDING MARK ROUGH
SURFACE
Poor sanding methodPoor touch up
Wrong sand papergrade 1000
Bare part – poorincoming quality
Paint viscosityto thick pressure
Gun setting NG
NozzleadjustmentNG
MISS SPRAY
Poor masking duringtouch upNo proper clean
7.38%160 00100010 Bare part NG
7.38%160 10000010 Hairline flashing
7.38%160 00010010 Poor paint filter
11.07%240 01
0010010 Gun setting NG
11.07%240 1
00010010 Paint clog at jig
11.07%240 1
00010100 Jig design NG
11.07%240 1
00010100 Masking NG
11.44%248 651
00010
NG cleaning after sanding
22.14%480 1
010
10101
010 Spray method
% RankRankAssociation Table
Key ProcessInput Variable
888888CustomerPriorityRank #
Mis spray
Rough surface
Sanding m
ark
Border line
Over spary
Dust
CustomerKey ProcessOutput Variable
7.38%160Part Hairline flashing
7.38%160Poor paint filter8Mis spray11.07%240Gun setting NG8Rough surface11.07%240Paint clog at jig8Sanding mark11.07%240Jig design NG8Border line
11.07%
240Masking NG8Over spary
22.14%480Poor touch up method8Dust
%Rank
Customer Key Process Input
VariableCustomerPriorityRank #
CustomerKey Process Output
Variable
Preliminary Process FMEA
40010QC inspection5Spray method8Cosmetic rejectBorder line NGSpray1
2
80010QC inspection10Jig design8Cosmetic rejectBorder line NGSpray1
1
32010QC inspection4Method8Cosmetic rejectDustSpray1
0
5049Service gun7Spray gun8Cosmetic rejectDustSpray9
3848Paint filter6Paint material8Cosmetic rejectDustSpray8
2807Standardize grade5Sanding material grade8Cosmetic rejectSanding markSpray7
2005Ionizer5High static charge8Cosmetic rejectDustSpray6
2568QC inspection4Spray method8Cosmetic rejectSanding markSpray5
2886QC inspection6Spray method8Cosmetic rejectMiss spraySpray4
2005QC inspection5Spray method8Cosmetic rejectRough surfaceSpray3
1926QC inspection4Adjustment8Dust fiberParting line highIncoming quality2
48010Trimming6Mold wear8Dust fiberFlashing (Hairline)Incoming quality1
RPN
DET
Current Process Controls
OCC
Potential Causes of Failure (KPIVs)
SEV
Potential Failure Effects (KPOVs)
Potential Failure Modes (process defects)
Process Function
(Step)#
Cause & Effect Diagram Function Deployment Matrix
KPIV & KPOV
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• For Convergence Dimension : Cp = 0.53, Cpk = 0.14 (short term)• Convergence Adjustment Process is CAPABLE
Measure Process Capability
151050-5
USLLSL
Process Capability Analysis for DAY
PPM Total
PPM > USLPPM < LSL
PPM Total
PPM > USLPPM < LSL
PPM Total
PPM > USLPPM < LSL
PpkPPL
PPUPp
Cpm
CpkCPLCPUCp
StDev (Overall)StDev (Within)
Sample NMeanLSLTarget
USL
400078.73
361691.09 38387.64
129659.98
129659.97 0.01
333333.33
333333.33 0.00
0.120.59
0.120.35
*
0.381.880.381.13
2.825320.88652
950*
6
Exp. "Overall" PerformanceExp. "Within" PerformanceObserved PerformanceOverall Capability
Potential (Within) Capability
Process Data
Within
Ov erall
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The Potential Factors are :• Factor 1, x1 : Jig design NG• Factor 2, x2 : Spray gun condition• Factor 3, x3 : Incoming part flashing • Factor 4, x4 : Spray method• Factor 5, x5 : Paint filter NG• Factor 6, x6 : Dust from spray method• Factor 7, x7 : Miss spray from spray method• Factor 8, x8 : Sanding material grade
Determination of Vital Few X’s
• Y (Painting defect) = f (x1,x2,x3, … x8)
To determine the Vital Few
X’s
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Theory : The Painting (over paint) defect is caused by X1 jig design Analysis Tool : 2 PROPORTION TEST
Test and CI for Two Proportions
Sample X N Sample p1 401 500 0.8020002 778 800 0.972500
Estimate for p(1) - p(2): -0.170595% CI for p(1) - p(2): (-0.207221, -0.133779)Test for p(1) - p(2) = 0 (vs not = 0): Z = -9.10 P-Value = 0.000
Ho : Over paint have a difference with jig design. Ha : Over paint is have no difference with jig design.
P-Value =0.00< 0.05 Fail to Reject Ho
Conclusion : The over paint HAVE DIFFERENCE with jig design. Thus, the X1 is the Vital X.
overspray
Miss spray
borderlineMasking jig design
Test of Theory 1
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Conclusion : The painting dust is NOT independent on spray gun condition. Thus, the X1 is the Vital X.
Ho : Painting defect is independent on spray gun filter.H1 : Painting defect is not independent on spray gun filter.
P-Value =0.01 > 0.05 Fail to reject Ho
Spray gunDust
Chi-Square Test: NO FILTERS, FILTERExpected counts are printed below observed countsNO FILTE FILTER Total 1 800 1200 2000 815.63 1184.37
2 56 43 99 40.37 58.63Total 856 1243 2099Chi-Sq = 0.299 + 0.206 + 6.048 + 4.165 = 10.719DF = 1, P-Value = 0.001
Theory : The Painting defect (dust) is caused by X2 spray gun conditionAnalysis Tool : CHI SQUARE TEST
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Test of Theory 2
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Theory : The Painting defect (dust) is caused by X3 incoming part flashingAnalysis Tool : 2 PROPROTION TEST
Ho : Painting defect have difference with part flashing. Ha : Painting defect have no difference with part flashing.
P-Value =0.000 < 0.05 Fail to reject Ho
Test and CI for Two Proportions
Sample X N Sample p1 378 500 0.7560002 983 1000 0.983000
Estimate for p(1) - p(2): -0.22795% CI for p(1) - p(2): (-0.265489, -0.188511)Test for p(1) - p(2) = 0 (vs not = 0): Z = -11.56 P-Value = 0.000
Conclusion : The painting defect HAVE DIFFERENCE with part flashing. Thus, the X3 is the Vital X.
Dust
Part hairline flashing
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Test of Theory 3
Conclusion : Test reject is independent on spray method. Thus, the X3 is NOT the vital X.
Expected counts are printed below observed counts SPRAY METHOD SPRAY METHOD NG OK TotalOK 17 20 37 18.50 18.50NG 3 0 3 1.50 1.50Total 20 20 40Chi-Sq = 0.122 + 0.122 +1.500 + 1.500 = 3.243DF = 1, P-Value = 0.072
Ho : Painting defect is independent on spray methodH1 : Painting defect is not independent on spray method
P-Value =0.072>0.05 Reject Ho
Theory : The Painting defect (dust) is caused by X4 from spray methodAnalysis Tool : CHI SQUARE TEST
DustSpray method
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Test of Theory 4
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Theory : The Painting defect (dust) is caused by X5 paint filter sizeAnalysis Tool : CHI SQUARE TESTHo : Dust is independent on paint filter size . H1 : Dust is not independent on paint filter size.
P-Value =0.000<0.05 Fail to reject Ho
Chi-Square Test: FILTER SIZE 200 MICRON, 120 MICRONExpected counts are printed below observed counts OK NG Total 200 Mic 972 28 1000 937.50 62.50 100 Mic 903 97 1000 937.50 62.50 Total 1875 125 2000 Chi-Sq = 1.270 + 19.044 + 1.270 + 19.044 = 40.627 DF = 1, P-Value = 0.000
Conclusion : The painting defect is NOT INDEPENDENT on part flashing. Thus, the X3 is the Vital X.
DustFilter mesh size
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Test of Theory 5
Theory : The Painting defect (dust) is caused by X6 spray methodAnalysis tool : 2 PROPORTION TEST
Ho : Dust is independent on spray method. H1 : Dust is not independent on spray method.
P-Value =0.172 >0.05 Reject Ho
Test and CI for Two Proportions
Sample X N Sample p1 311 500 0.6220002 658 1000 0.658000
Estimate for p(1) - p(2): -0.03695% CI for p(1) - p(2): (-0.0876802, 0.0156802)Test for p(1) - p(2) = 0 (vs not = 0): Z = -1.37 P-Value = 0.172
Conclusion : Test reject is independent on spray method.Thus, the X6 is NOT the vital X.
DustSpray method
Test of Theory 6
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
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Theory : The Painting defect (miss spray) is caused by X7 spray methodAnalysis tool : 2 PROPORTION TEST
Ho : Miss spray is independent on spray method. H1 : Miss spray is not independent on spray method.
P-Value =0.115 >0.05 Reject Ho
Test and CI for Two Proportions
Sample X N Sample p1 997 1200 0.8308332 1943 2400 0.809583
Estimate for p(1) - p(2): 0.0212595% CI for p(1) - p(2): (-0.00514461, 0.0476446)Test for p(1) - p(2) = 0 (vs not = 0): Z = 1.58 P-Value = 0.115
Conclusion : Test reject is independent on spray method. Thus, the X7 is NOT the vital X.
Miss spraySpray method
Test of Theory 7
Theory :The Painting defect (sanding mark & r.surface) is caused by X8 sanding gradeAnalysis Tool : CHI SQUARE TEST
Ho : Test reject is independent on sanding material grade. H1 : Test reject is not independent on sanding material grade.
P-Value =0.00 >0.05 Fail reject Ho
Test of Theory 8
Conclusion : Test reject is Not independent on sanding material grade. Thus, the X8 is the vital X.
Chi-Square Test: SAND PAPER GRADE G 1000, G 1200Expected counts are printed below observed counts G 1000 G 1200 Total OK 750 1008 1758 771.26 986.74 NG 84 59 143 62.74 80.26Total 834 1067 1901Chi-Sq = 0.586 + 0.458 + 7.207 + 5.633 = 13.885DF = 1, P-Value = 0.000 Sanding mark
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
Test of Theory 8
P-Value > 0.05 Reject HoP-Value < 0.05 Fail to reject Ho
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Vital Few X’sVital Few X’s• Y (Painting defects) = f (x1, x2, x3, x4, x5, x7)
The Vital Few Xs are: Vital Factor 1, x1 : Jig design Vital Factor 2, x2 : Spray gun condition Vital Factor 3, x3 : Part flashing Vital Factor 5, x5 : Paint material Vital Factor 8, x8 : Sanding material grade
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Improvement #1 By Using Non-DOE
Before AfterImprovement of Factor, X1 Jig design NG ( Over spray):
Ventilation hole area not cover causing the paint mistStick to part surface
Modify jig design – cover the ventilation hole area to prevent paint mist from sticking to part surface
Improvement #2 By Using Non-DOEImprovement of Factor, X1 Jig design NG ( Over paint):
Modify the jig–Redesign of part holder area not to touch parting line area to eliminate painting defect.
The part holder area touching the parting line area & causing to paint residue to stick at part.
Before After
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Improvement #3 By Using Non-DOE
Before After
Failure rate : 1.9% Failure rate : 0.7%
Improvement #4 By Using Non-DOE
Before After
Improvement of Factor, X1 Jig design NG ( Borderline)
The paint filling borderline
Masking jig cover shorter
Paint mist
PartThe extended paint jig cover prevent the paint from Filling the borderline
Masking jig cover longer
Paint mist
Part
Modify the jig–Redesign of parting line area coverage to ensure paint can’t penetrate during spray process.
The jig design NG–Parting line not fully cover causing the paint able to penetrate causing to borderline NG.
Change spray gun that have filter to ensure paint application is fully filtered before spraying to the part.
The spray gun type have no filter to prevent the dust from sprayed to the part surface.
Improvement of Factor, X2 Spray Gun Type
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Improvement #5 By Using Non-DOE
Before After
Improvement #6 By Using Non-DOE
Before After
Failure rate : 0.7%Failure rate : 1.9%
Change filter mesh to smaller type ( 200mic) to ensure rough particle in the paint is properly filtered
Paint material contain rough particle that turn into spray dust & filter mesh 120mic can’t properly filter
Improvement of Factor, X5 paint filter size
Improvement of Factor, X3 part flashing
Repair the mold & ensure the part running is free from any hairline flashing
Part have hairline flashing that will turn fiber after attack by thinner in the paint during spray process.
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Before AfterFailure rate : 1.02%
Failure rate : 0.03%
Sanding mark & rough surface reduce after using sand paper
grade 1500
Part have many sanding mark & rough surface when using sand
paper grade 1000
Improvement #7 By Using Non-DOEImprovement of Factor, X5 sand paper grade
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Summary of ImprovementSummary of Improvement
BEFORE AFTER1 Painting defect jig design Done
2 Painting defect Spray gun type Done
3 Painting defect Part hairline flashing Done
4 Painting defect Paint filter size Donedust
5 Painting defect Sanding material grade DoneRough surface
sanding mark
Grade 1500Grade 1000
Eliminate flashingBare part flashing
120 micron 200 micron
Modify jig coverageJig coverage NG
No filter type Filter type
REMARKNO PROBLEM, Y VITAL FEW X IMPROVEMENT
Summary of Improve Phase Control Plan
No Control Subject Subject Target Unit Tools Sample Size
Frequency of Measurement
Control Criteria / Action / Method
Location / Process
1 Painting defect Reduce defect N.A J ig maintenance N.A Beginning lot Work Instruction Assembly& service
2 Painting defect Reduce defect N.A Filter changing N.A Beginning lot Work Instruction Assemblyservicing
3 Painting defect Reduce defect N.A Mold and machine Each Daily Work Instruction Assemblyparameter setting machine
4 Painting defect Reduce defect N.A Service N.A Beginning lot Work Instruction Assembly
5 Painting defect Reduce defect N.A Control of sand Grade Beginning lot Work Instruction Assemblypaper grade 1500supply
Process Function
(Step)
Potential Failure Modes (process defects)
Potential Failure Effects (KPOVs) SEV Potential Causes of
Failure (KPIVs)OCC
Current Process Controls
DET
RPN
Incoming quality Flashing (Hairline) Dust fiber 8 Mold wear 2 Repair mold 3 48
Incoming quality Parting line high Dust fiber 8 Adjustment 3 QC inspection 3 72
Spray Rough surface Cosmetic reject 8 Spray method 3 Use 1500sandpaper 3 72
Spray Miss spray Cosmetic reject 8 Spray method 1 QC inspection 5 40
Spray Sanding mark Cosmetic reject 8 Spray method 2 Use 1500sandpaper 2 32
Spray Dust Cosmetic reject 8 High static charge 2 Ionizer 2 32
Spray Sanding mark Cosmetic reject 8 Sanding material grade 2 Standardize
grade 2 32
Spray Dust Cosmetic reject 8 Paint material 3 Paint filter 5 120
Spray Dust Cosmetic reject 8 Spray gun 4 Change filter 4 128
Spray Dust Cosmetic reject 8 Method 4 QC inspection 2 64
Spray Border line NG Cosmetic reject 8 Jig design 3 Modify jig 4 96
Spray Border line NG Cosmetic reject 8 Spray method 2 QC inspection 4 64
UPDATE FMEA
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COMPARISON BETWEEN BEFORE AND AFTER IMPROVEMENT
514947454341393735
Target USLLSL
G-GAIN (NEW)
PPM Total
PPM > USLPPM < LSL
PPM Total
PPM > USLPPM < LSL
PPM Total
PPM > USLPPM < LSL
Ppk
PPL
PPUPp
Cpm
CpkCPL
CPU
Cp
StDev (Overall)
StDev (Within)
Sample NMean
LSL
TargetUSL
6.16
2.024.13
6.16
2.024.13
0.00
0.000.00
1.49
1.49
1.541.51
1.51
1.491.49
1.54
1.51
1.65429
1.65429
10042.375
35.000
42.50050.000
Exp. "Overall" PerformanceExp. "Within" PerformanceObserved PerformanceOverall Capability
Potential (Within) Capability
Process Data
Within
Overall
Items Before After% 7.60 1.70
DPPM 76000 17000
Improvement : Improve from 76,000 dppm to 17000 dppm
Conclusion :
Result of Control
-5 0 5 10 15
LSL USL
Process Capability Analysis for DAY
USL
TargetLSLMeanSample NStDev (Within)StDev (Overall)
CpCPUCPLCpk
Cpm
PpPPUPPLPpk
PPM < LSLPPM > USLPPM Total
PPM < LSLPPM > USLPPM Total
PPM < LSLPPM > USLPPM Total
6
*059
0.886522.82532
1.130.381.880.38
*
0.350.120.590.12
0.00333333.33333333.33
0.01129659.97129659.98
38387.64361691.09400078.73
Process Data
Potential (Within) Capability
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance
Within
Overall
The project carried out is on the rightTrack.
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PROJECT ACHIEVEMENT STATUS
CHOPIN REAR COVER MONITORING CHART
7.6 7.9
5.54.6
5.2
2.4 1.9 1.8 1.71.81.8
0
1000
2000
3000
4000
5000
6000
WK 33 WK 34 WK 35 WK 36 WK 37 WK 38 WK 39 WK 40 WK 41 WK 42 WK 43
PRO
D. O
UTP
UT
0123456789
REJ
ECT
%
PROD. OUTPUT REJ ECT %
6 σ Activity Duration
M A I CD
TARGET :DPPM 19000ACTUAL : 170000
PROJECT ACHIEVEMENTBASELINE TARGET ACTUAL ACHIEVEMENT IMPROVEMENT
COPQ : USD 2341.08 /Month RM 8896.03/MonthDPPM : 76000Sigma Level : 2.93
COPQ : USD 788.38 /Month RM 2918 / MonthDPPM : 19000Sigma Level : 3.57
COPQ : USD 985.75 RM 3745.85DPPM : 17000Sigma Level : 3.62
COPQ Saving : USD 1355.33 / Month RM 5150.25 / MonthDPPM : 57000Sigma Level : 0.69
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