six sigma project = internet sample
DESCRIPTION
This is a sample of just one of the Six Sigma Projects I worked on.TRANSCRIPT
MEMBERS
• ANTONIO ARENAS LEADER
• TECHNICAL SUPPORT AND EXECUTION SUPV.
• AREA (Production Floor) SUPPORT
MEMBERS
• ANTONIO ARENAS LEADER
• TECHNICAL SUPPORT AND EXECUTION SUPV.
• AREA (Production Floor) SUPPORT
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
Reduction Of Failure Risk of Heat Sink Type Components
2
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5Project Overview
• Reduce Reliability Risks (failures in Time ) of
HEAT SINK MOUNTED TYPE COMPONENTS by
securing a Stable and Controlled Process .
• Determine the Highest Failure Risk
Component and reduce its failure rate .
Heat Sink Type Component
Define
3
Major Field Heat Sink type of Component Problem is the Voltage regulator ICX3400 used on CA Chassis .
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
Define FIELD DATA
Year 2000 Claims
BY FAMILY BY Heat Sink Type Component TOTALPPM QTY 1 2 3 4 PPM
223-00028 ICX3400 224 84 39 8 355 612221-00992-01 IC2100 132 16 2 1 151 260221-00598-01 IC804 89 29 4 3 125 216
221-01165 ICX2200 25 32 14 6 77 133221-00213-09 20 10 1 2 33 57
121-01383 QX3203 9 12 5 26 45221-00992 14 1 15221-00213 5 2 5 1 13221-01127 3 4 7
CA 1168 677 221-01382 2 1 2 5
CH 135 78 221-01384-01 1 2 1 4LEADER 86 50 221-00598 2 2
CORE 48 28 221-00745-04 1 1 2CB 12 7 221-01384 1 1 2GA 3 2 221-01387-01 2 2CS 2 1 223-00061-01 1 1
GXC 2 1 221-01385-01 1 1224-00027 1 1221-01171 1 1221-01381 1 1
224-00027-A 1 1Total ALL 825
Total CA Heat Sink Type Components =========>734CA Heat sink % of Total ====================>89%Warranty Volume YR2000 ==================>579,792
0
200
400
600
800
1000
1200
PPM
CA
CH
LEA
DE
R
CO
RE CB
GA
CS
GXC
By Family Heat Sink Type Components Field Claims (Defects) Full YR2000
0
100
200
300
400
500
600
700
PPM
ICX3400 IC2100 IC804 ICX2200 QX3203
By Component CA Heat Sink Type Components Field Claims (defects) Full YR2000
4
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
Define In Process Data
0
20
40
60
80
PPM
CA Family PPM level (in Final ) of Heat Sink Type Mounted Components
Series1 64 29 29 23 5
ICX3400 ICX2200 IC2100 QX3203 IC804
There is a direct CORROLATION between the FIELD Data (previous Page) and the In Process Data (above) showing that CA ICX3400 is the component that most fails .
Based On this the Team will Focus on Improving the In Process indexes for CA Chassis ICX3400 since by doing so we can Safely State that we will Improve the RELIABILITY RISK FACTOR IN THE FIELD of all Heat Sink Type Components regardless of Family .
The Improvement will come from a Stable Heat Sink Assy. Process and the required Control that this team will set .
0
50
100
150
200
PPM
YTW26 PPM Levels by Family of Heat Sink Type Components
Series1 190 166 110 38 35 19 18 18 6 5
CALEADE
RCH CL CS CORE FLAT LG
HD/HDS
CB
5
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
Define In Process Data
There is a direct CORROLATION between the FIELD Data (see Page 3) and the In Process Data (above) showing that CA ICX3400 is the component that most fails .
Based On this the Team will Focus on Improving the In Process indexes for CA Chassis ICX3400 since by doing so we can Safely State that we will Improve the RELIABILITY RISK FACTOR IN THE FIELD of all Heat Sink Type Components regardless of Family .
The Improvement will come from a Stable Heat Sink Assy. Process and the required Control that this team will set .
25 18 19 35 38110166190
4.2 3.0 3.2 5.8 6.318.327.631.6
100.0 95.8 92.8 89.7 83.9 77.5 59.2 31.6
600
500
400
300
200
100
0
100
80
60
40
20
0
Defect
CountPercentCum %
Per
cent
Cou
nt
YTW26 Heat Sink Ty pe Def ects By Family (in PPM)
523292964
3.315.319.319.342.7
100.0 96.7 81.3 62.0 42.7
150
100
50
0
100
80
60
40
20
0
Defect
CountPercentCum %
Per
cent
Cou
nt
YTW26 Heat Sink Ty pe Def ects By Componment (in PPM)
6
Chassis % of total defects Qty. Failed % Failure PPM Process Sigam Level GOAL CA 1.241% 150 0.0190% 190 5.05 5.23
LEADE 1.084% 131 0.0166% 166 5.09CH 0.720% 87 0.0110% 110 5.19CL 0.248% 30 0.0038% 38 5.46CS 0.232% 28 0.0035% 35 5.47
CORE 0.124% 15 0.0019% 19 5.62FLAT 0.116% 14 0.0018% 18 5.64
MC83A 0.091% 11 0.0014% 14 5.69MM1 0.041% 5 0.0006% 6 5.87CB 0.033% 4 0.0005% 5 5.91
MC999 0.025% 3 0.0004% 4 5.98
Total =====> 3.954% 478 0.0605% 605 4.74
Sigma Levels For CA Heat Sink Type Components
Current 5.05
Goal 5.23
4.00
4.50
5.00
5.50
Sigma
Current Goal
Sigma Levels For CA Heat Sink Type Components In Final Lines (YTW26 Data)
GAP = 0.18
Goal = 50% defect reduction (in PPM)
X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
Define Project Goal
7
A
Family Defective
HD/HDS Transistor
6
Family core
19
Family ICX2200CL 29
38
Family IC2100CH 29
110
Heat Sink Type Components Family ICX3400 ProcessPPM Level CA
605 190 64
Family QX3203LEADER 23
166
Family IC804CS 5
35
Family FLAT Design
18 Problems
Family LG
18Defective
Family Silicone GreaseCB
Define Failure Logic Tree X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
8
A
Vendor Torque Gun
Quality CTQ Methode
Inappropriate Torque Inappropriate
Inapropiate Use Of Gun Surface Contact Operator
Training
Defective Vendor Clip Quality
Inappropriate Clip Pressure
Defective Preventive Equipment Maintenance
Operator Training
Insufficient Silicone Grease
ApplicationEquipment
Contaminated
(oil / Body Grease)
Heat Sink Bowed Vendor
Surface Quality
Fine Tuning Rough Surface Vendor
Quality
Vendor Quality FIFO Warehousing
ProceduresIn House
Storage Heat
Environment
Humidity
Define Failure Logic Tree X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
9
Supplier Input Process Outputs Client
• Silicone Grease • Metal Bracket • Facilities • Components • Warehouse
•Clip•Nut•Screw•Metal Brkt•Mica •Grease•Regulator
• Heat Sink Assy. • Chassis• Modules • Final • Field
Diagrama SIPOC Heat Sink Assembly Process
Place Clip on
Heat Sink
Apply Silicone to Heat Sink
Place Screw on
Fixture
ApplySilicone toRegulator
Place Regulator
on Jig
Place Micas(2) on
Regulator
Place Heat Sink On top Of Regulator
Add Nut to Screw
Apply Torque
CTQ
Pack Component
Define Process MappingX
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
10
Measure Gage R&R Analyze X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
The Short Term Method was used for Gage R&R since No Repetitions Can be Done on the Same Part (Torque) . And as can be seen our Gage R&R % Tolerance is 64.9 . NOT ACCETABLE
Gage R&R
Analyze
All Conditions being the same we have variance between Operator and Operator
The ROOT CAUSE of the Variance Needs to Be Found and Eliminated Before continuing with this project .
Gage R&R Short Study Method
CTQ Specification = 7 in.-Lbs. +- 1
Part Operator 1 Operator 2 Range (1-2)
1 6.5 6.7 0.2
2 6.3 6.9 0.6
3 6.3 6.2 0.1
4 6.5 6.3 0.2
5 6.5 6.1 0.4Range Sum 1.5
Average Range 0.3Gage Error 1.29831933
Gage R&R as a % of Tolerence 64.9159664
11
Measure Gage R&R #2 X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
After the first Gage R&R Study produced Unsatisfactory results the Process was Study Closely . Was was noticed that operator at times do the TORQUE operation and than they RE-Torque Same part Again and Again . At this time the operator was instructed in the proper Techniques doing the operation .
Basically torque until the clutch engages for the first time at this time do not re-torque (No double Clicks) Yielding the following Gage R&R .
This Gage R&R is now acceptable since it is <30% .
Gage R&R Short Study Method
CTQ Specification = 8 in.-Lbs. +- 1 (F-52563)
Part Operator 1 Operator 2 Range (1-2)
1 7.75 7.75 0
2 7.75 7.5 0.25
3 7.75 7.75 0
4 8 7.75 0.25
5 7.75 7.75 0Range Sum 0.5
Average Range 0.1Gage Error 0.43277311
Gage R&R as a % of Tolerence 21.6386555
12
Analyze X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5Process Capability Study Plan
GUN # & Operator
10 Samples
Start
Normal Distribution ?
YES
No Increase Sample
size
Graph Process
Capability
Process Capable
?
YES
No
Investigate &
Eliminate Variance
This is the Process Capability Plan for the Heat Sink Assy. Area . Each Gun/ Operator Combination used for Assembly of CA Heat Sinks sinks will be study . If any are found to be Not Capable of operating within its Specs. The Assignable Cause will be INVESTIGATED , ELIMINTAED and CONTROLLED .
This arrangement is required since this area is configured as a CELL Type work environment were each station does its complete Assy.
13
Analyze X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5Tools To Be used In The Study
11.0 11.5 12.0 12.5 13.0
LSL USL
Process Capability Analysis for Dig. T.Audit
USL
Target
LSL
Mean
Sample N
StDev (Within)
StDev (Overall)
Cp
CPU
CPL
Cpk
Cpm
Pp
PPU
PPL
Ppk
PPM < LSL
PPM > USL
PPM Total
PPM < LSL
PPM > USL
PPM Total
PPM < LSL
PPM > USL
PPM Total
13.000
*
11.000
11.165
20
0.0886679
0.0886679
3.76
6.90
0.62
0.62
*
3.76
6.90
0.62
0.62
0.00
0.00
0.00
31380.83
0.00
31380.83
31380.83
0.00
31380.83
Process Data
Potential (Within) Capability
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance
Within
Overall
Cal. Lab. Results for this Instrument.
OK to use for Gun Set-up
Torque Meter for gun Set-up Applied Torque Auditor
Cal. Lab. Results for this Instrument. Show well suited to
use for studying Applied Torque
11.0 11.5 12.0 12.5 13.0
LSL USL
Process Capability Analysis for Typical Anal
USL
Target
LSL
Mean
Sample N
StDev (Within)
StDev (Overall)
Cp
CPU
CPL
Cpk
Cpm
Pp
PPU
PPL
Ppk
PPM < LSL
PPM > USL
PPM Total
PPM < LSL
PPM > USL
PPM Total
PPM < LSL
PPM > USL
PPM Total
13.00
*
11.00
12.02
20
0.0415824
0.0415824
8.02
7.86
8.18
7.86
*
8.02
7.86
8.18
7.86
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
Process Data
Potential (Within) Capability
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance
Within
Overall
14
Analyze Current Process Capability X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
P-Value: 0.241A-Squared: 0.432
Anderson-Darling Normality Test
N: 10StDev: 0.707598Average: 8.575
9.58.57.5
.999
.99
.95
.80
.50
.20
.05
.01
.001
Pro
babi
lity
Gun 05 Proce
Gun # 5 10 Samples Normality test
The Normality test above tells us that our processhas a Normal distribution characteristics thus our 10 samples can be used to graph a process capability .
15
9.08.58.07.57.0
Target USLLSL
Applied Torque Process Capability for Gun #05 @ 92 PSI
PPM Total
PPM > USL
PPM < LSL
PPM Total
PPM > USL
PPM < LSL
PPM Total
PPM > USL
PPM < LSL
Ppk
PPL
PPU
Pp
Cpm
Cpk
CPL
CPU
Cp
StDev (Overall)
StDev (Within)
Sample N
Mean
LSL
Target
USL
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
2.06
2.06
3.44
2.75
1.15
2.06
2.06
3.44
2.75
0.121164
0.121164
10
7.75
7.00
8.00
9.00
Exp. "Overall" PerformanceExp. "Within" PerformanceObserved PerformanceOverall Capability
Potential (Within) Capability
Process Data
Within
Overall
Analyze Current Process Capability StudyX
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
The above shows that Gun 05 coupled with operator “ANA” are Capable of producing parts with Applied Torque within the specified Limits .
Combined with Operator “ANA”
CONCLUSION
16
Analyze Process Capability Control X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
1) At Start of Shift Take Data for the 1st. subgroup (= 5 readings) and Plot it in Graph . 2) Analyze Data and take Action to Correct Assignable Causes based on the following Criteria :
A) One point more than 3 sigma's from center line B) Nine points in a row on same side of center lineC) Six points in a row, all increasing or all decreasing
3) At Mid Shift Take Data for the 2nd. subgroup (= 5 readings ) and Plot it in Graph 4) Repeat Step #2 . 5) Towards the end of Shift take Data for the 3rd. subgroup (=5 readings ) and Plot it in Graph . 5) Repeat step # 2
2010Subgroup 0
9
8
7
Sam
ple
Mea
n
Mean=7.609
UCL=8.737
LCL=6.481
4
3
2
1
0
Sam
ple
Ran
ge
R=1.955
UCL=4.134
LCL=0
X-Bar Control Chart f or Gun 05Initial Plot For Each Gun
• Time Frame for Samples => 1 shift• # of subgroups ========> 20 • Each subgroup Size ====> 5 samples• Total Readings ========> 100• Frequency ============> 0.5 Hr.
Objective • Identify any Non Capable Process’s.• Find The Asignable Cause • Correct The Asignable Cause • Control on a Daily Basis .
InitialX-BARPlot
DAILY CONTROL PROCEDURE
17
December ‘ 01 January ‘ 02
Data Collection and Project definition
Equipment and Procedures to Measure CTQ
Gage R& R and Study Process and
Procedures
Data Analysis and Next activity planing
•Conduct Experiments (DOE)•Analyze results •Improvement implementation
Apply Control
51 52 01 02 03 04 05 06 07 08 09
Define
Measure
Analyze
Improve
Control
Project Closure
Define Project Timing X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5
February ‘02 March’02
18
Analyze Current Process Capability X
LSL USL
- 6s +6s
Cp =2. 0 Cpk=1. 5