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PROBLEMRESOLUTIONPROCESS 
6-PANEL 
Problem Resolution Process 
TRAINING MANUAL 
Tonatiuh Lozada Duarte 
October2014 
Page 1 of 23
6-PANEL 
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Corporate NEEDGlobal 6-Panel Reporting standard: 
1)6-Panel Problem Resolution is a high level problem resolution document to capture the key requirements and data to drive decisions through the problem solving phases: Define, Measure, Analyze, Improve, Control, and Replicate. 
2)Assist problem solving teams with a template to guide the problem solving process using minimum required DMAIC+R steps to ensure robustness of the resolution. 
3)Individual summary panels of each DMAIC+R phase that is simplified and standardized, while allowing for additional information or slides to be inserted as backup information for any of the problem resolution phases. In a high level management report out, communicate with the six summary panels. For a team or quarterback deep dive, unhide information on additional slides. 
4)Standardization of problem resolution procedures combining best practices and 6-Sigma methodology on a format that is flexible enough to be used by all business units. 
5)Simplified and consistent communication to management in a concise way without having to rewrite what you have done. 
6)Encourages management to ask questions in line with the 6-Sigma disciplined methodology.
6-PANEL 
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6-Panel Problem Resolution is a high level problem resolution document to capture the key requirements used to drive data decision through the problem solving phases: Define, Measure, Analyze, Improve, Control, and Replicate. 
Improve Phase 
How can we permanently fix 
the current product/process? 
•DOE & ANOVA 
•Verification data 
•Durability/CAE/VSA 
•Work plan 
Control Phase 
How can we make the 
process stay fixed? 
•Control Plans 
•SPC –Control Charting 
•Audit Plans 
Replicate Phase 
Who else at Ford can benefit? Update corporate knowledge? Is the gain be sustained? 
•Replication / Best Practices 
•Core Books –SDS/VDS/FMEAs 
•Validate sustain w/ data 
Define Phase 
Who is my customer, and what isthe current cost of poor quality? 
•Voice of the Customer 
•Defect Definition 
•Cost of Poor Quality (includeswarranty spending, as necessary) 
•Project Scope & Goal 
Measure Phase 
Which inputs affect ouputs? What is my current processperformance (capability)? Are defects contained? 
Analyze Phase 
By how much do X’s affect Y? What confidence do you have? 
•Graphical Analysis 
•Hypothesis Testing 
•Regression Analysis 
•Additional tools 
Panel 2 
Panel 1 
Panel 3 
Panel 4 
Panel 5 
Panel 6 
•Fish Bone 
•Gage R&R, Baseline Capability 
•Containment Plan 
Process Layout
6-PANEL 
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DMAICR6-PANEL Header: 
Identify VRT to CCC cascade of the issue in the header. The following generic fields are listed to identify project ownership (business unit), the customer, affected vehicle, process, and/or part number. 
Please note:The header “VRT / VFG / CCC” information along with the footer “Project Number / BB Name” information must be updated on the SLIDE MASTER. Goto“View” then “Master” then “Slide Master” to make these changes. CustomerVFG Team / Functional Area NameVRT / Business Unit NameVehicle Name & Model Year / Product NamePart / Process Name & NumberCCC: L66 –Exhaust System TroublesVFG: V44 –Mechanical MalfunctionVRT: Powertrain / FuelVEHICLE: 2001 Taurus / SablePART: 5230 Muffler 
Manufacturing / Technical Example: 
Transactional Example: Ford Motor Company PlantsGlobal CustomsMP&LGlobal Customs and Trade Process9801 Duty Preference Program
6-PANEL 
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DMAICR 
DEFINE PANEL (Minimum requirements): 
1)Identify the Project Classification(Safety, Quality, Deliver, Cost…) objectives. Typical quality classifications will be based upon the Single Agenda for Quality data (both low time in service, 3 MIS, and high time in service, 3 YIS) from GQRS and Warranty. Include total annual warranty spending and JD Power data if available. In addition, use internal data indicators to help identify the concern including Best In Class (BIC) and Best In Ford (BIF) data to address customer concerns. 
2)Trend Charts and Breakdown of Issue(Internal or External trends, and graphical quantification and pareto formulates a means of prioritizing and help reflect the teams understanding of the major components making up the concern.) Data trend charts over time help define the severity of customer concerns. Data trend charts over time should include annotative updates. If needed, add backup slides. 
3)Y=f(x) Cascade(High level Y=f(x) cascade should communicate the scope of the project). 
4)CTQ (Critical to Quality) Statement-identifies customer requirements / expectations. 
5)Defect Definition of Key Process Output Variable (KPOV or Y)in the form of an engineering metric. 
6)Cost of Poor Quality(Cost of the Problem includes all external and internal cost, TGW, Total Warranty Spending and Unexpended Warranty, labor & overhead, etc.) 
7)Problem Statement(include scope and goal) 
Additional Tools:(add slide(s) to capture backup Define material) 
•Process Mapping (As Is), SIPOC, Is-Is Not Analysis 
•Unexpended Warranty Calculations 
•TGW Verbatim Analysis 
•QFD
6-PANEL 
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VOICE OF THE CUSTOMER: From AWS Verbatims “the 
vehicle bottoms out, exhaust noise banging on side of vehicle.” 
CTQ STATEMENT (Customer Requirement): 
Customers expect no ground out noises from the exhaust system. 
DEFECT DEFINITION for Y (Engineering Metric): 
Muffler to body clearance less than 17mm at fascia 
COST OF POOR QUALITY (TGW, Unexpended Warranty, etc.): 
$350,000 annually in internal repairs and external warranty. In addition, 2.5 TGWs from 3MIS GQRS surveys. 
PROBLEM STATEMENT, SCOPE, AND GOAL 
Owners of 2001 MY Taurus/Sable vehicles indicate that exhaust pipes and muffler to body side ground outs are 
a significant issue. These ground outs conditions, particularly around the rear fascia & lower control arm, cause 
noises such as rattles, knocks, bangs, clunks, dings, and rubs. Reduce ground outs by 90%. 
2002 L66 Warranty by part 
5230- 
Muffler 
16.36 
5246-Pipe Assy 
4.03 
5E212-Catalyst 
2.22 
5200-Muffler 
2.07 
5A294-Muffler 
Brkt 1.22 
NPF 
1.08 
All others 
1.8 
Y=f(x) CASCADE: 
Y= L66= f (Muffler, Pipe, etc.) 
Muffler= f ( Ground outs, etc.) 
Ground Outs= f (clearance to fascia) 
Project Y 
D M A I C R 
3 MIS 
R/1000 
TREND CHARTS and BREAKDOWN OF ISSUE: 
L66 (Exhaust System Trouble) warranty 2002 Sable 
VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles 
VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler 
TOTAL WARRANTY SPENDING: 
$315K (2002 CY) 
PROJECT CLASSIFICATION: 
SAQ #26 L66 - Exhaust System Troubles 
’01 MY ’99 MY 
3 MIS 3 YIS 
TGW 4 6 
CUST SAT LOSS 0.43 0.61 
CPU 0.27 2.11 
R/1000 1.04 3.54 
JD Power 0.4 
Consumer Reports n/a for L66
6-PANEL 
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D M A I C R 
Explorer N17 (Brakes Noisy) Trend Over Time R/1000 
5/31/02 Cutoff Date / 60 Day Logic 
0 2 4 6 8 
10 
12 
14 
16 
18 
Jan-01 
Mar-01 
May-01 
Jul-01 
Sep-01 
Nov-01 
Jan-02 
Mar-02 
Production Month 
R/1000 
1MIS BIF 
3MIS BIF 
6MIS BIF 
9MIS BIF 
1MIS 
3MIS 
6MIS 
9MIS 
12MIS 
Explorer N17 (Brakes Noisy) Trend Over Time CPU 
5/31/02 Cutoff Date / 60 Day Logic 
0 
0.2 
0.4 
0.6 
0.8 
1 
1.2 
1.4 
1.6 
1.8 
36892 
36951 
37012 
37073 
37135 
37196 
37258 
37317 
Production Month 
CPU 
1MIS BIF 
6MIS BIF 
9MIS BIF 
3MIS BIF 
1MIS 
3MIS 
6MIS 
9MIS 
12MIS 
Explorer (U152) Top 100 
Overall 
Rank 
VRT VFG CCC's CCC Description 
CUST SAT 
LOSS 
TGW R/1000 3MIS CPU 3MIS 
JDP 2002 
(Problems/100) 
2002 MY 
High Miles 
(CPU) 
21 Chassis V21 N17 Brakes Noisy 0.25 67 3.43 0.37 6.3 1.85 
40 (BIC) .42 (BIF) .03 (BIF) 3.9 (BIC) 
Brake Noise Indicators
6-PANEL 
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DMAICR 
MEASURE PANEL (Minimum requirements): 
1)Fishbone (Cause & Effect Diagram).Identify the key process input variables (KPIV or Xs) that affect your KPOV (Y) most (display ranking). (This is the first stage of root cause analysis, in the analyze phase you will validate the root cause with data). 
2)MSA –Measurement System Analysis. Validate the Measurement System for your KPOV (Y), Gage R&R stated as % Study. (May be needed for both Ysand Xsperformed in other stages of the project.) 
3)Determine the Baseline Process Capabilityof your KPOV (Y) 
4)Containment Plan-state actions taken to protect the customer, including statistical evidence validating action (before and after data). If containment is not needed, state why. While the team is working on permanent solution, containment actions are required to protect the customer 100%. Example of actions include Stop-ship, 100% inspection, Quarantine stock, QR’s supplier. Use additional slides with visual aids to this panel to drive home your containment resolutions. Effectiveness of containment actions must be shown with Before and After indicator. Containment Plans should include: 1. Metric/Indicator that is used to find the issue at: (a) Supplier facility, before shipping to Ford facility, (b) Assembly plant, before shipping to customers. 2. Before and after statistical data evidence showing the issue is contained (Cpk, defect rate, etc) 
Additional Tools:(add slide(s) to capture backup Measure material) 
•Cause & Effect Matrix 
•P-Diagram 
•PFMEA and/or DFMEA 
•SPC 
•Rolled Throughput Yield
6-PANEL 
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10 15 20 25 30 
LSL Target 
FASCIA CLEARANCE TO MUFFLER OLD- ALL 
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 
* 
30.0000 
17.0000 
19.2162 
37 
3.12746 
3.36607 
* 
* 
0.24 
0.24 
* 
* 
* 
0.22 
0.22 
216216.22 
* 
216216.22 
239276.82 
* 
239276.82 
255141.04 
* 
255141.04 
Process Data 
Potential (Within) Capability 
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance 
Within 
Overall 
CONTAINMENT (state reasoning if not required): Process Owner Date Before Data After Data 
100% audit (clearances at fascia / lower control arm. John Smith 10/17/01 0.24 Cpk 1.23 Cpk 
• When necessary, reposition muffler assembly to obtain adequate clearance. 
• If muffler does not shift to desired position, loosen joint attachment & reposition assembly. 
MSA & Process Capability: 
 Engineering TestRequirement 
Muffler to Body Clearance (17-30 mm) 
 Gage R&R = 15 % Study 
 Baseline Capability (Oct. 15, 2001): 
• Z = 0.72 
• DPMO = 255,141 
• Cpk = 0.24 (note: short term) 
Data Collection plan 
includes all circled, 
highly ranked X’s 
D M A I C R 
Process Elements 
Element OK A 
Investigating B 
Element Not Capable C 
Element Removed D 
A 
A 
B 
B 
B 
B 
B 
A 
B 
VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles 
VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
6-PANEL 
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DMAICR 
•Fishbone diagram is one of the most widely used tools in quality management. Example –Brake Cold Squeal Fish Bone Diagram 
FISHBONE 
Cause and Effect diagram is a problem solving tool used to identify and graphically display all possible causes of a problem or effect. It helps a team to discover root cause(s). Additional tools can and should be used to deep dive in the measure phase to help prioritize the KPIV –Key Process Input Variables: causeand effect priority matrix, fault tree / contribution analysis, process / design FMEAs, is/is not analysis, process mapping, etc. 
Environment 
Customer 
Usage 
System 
Interactions 
Piece to Piece 
Vartiation 
Aging Wear 
Design 
Brake application (line pressure) 
Vehicle speed 
Braking distance 
Driving habits (D) 
Cooling of Brake System (D) 
Pad modal parameters (A) 
Material Property Variation 
Surface Friction Variation 
Manufacturing misassembly (D) 
Rotor/Hub Alignment 
Pad Geometric Variations 
Pad Damping Deterioration 
Running Clearance 
Sys Damping Deterioration 
Pad/Lining Wear/Cracked 
Aging of Slide Pin Wear 
Shape of lining (A) 
Uneven Rotor Wear 
Lining material Characteristics (A) 
Humidity(wet/dry)/ water/Moisture absorption (A) 
Contaminates 
Corrosion 
Road salts 
Solvents 
Temperature 
Road inputs 
Customer’s Maintenance Schedules (D) 
Incorrect Maintenance (D) 
Road Quality (D) 
Lot Rot 
Deceleration rate 
Suspension Interactions (D) 
Body Sensitivities (Acoustic/Vibration 
(D) 
Rotor 
Warping 
Rotor Scorching 
Booster Noise Filter Wear 
Rotor Geometric Variations 
Thickness of lining material (A) 
Pad/Rotor pressure distribution (even/uneven)when apply brake (B) 
Chamfers in lining (A) 
Slots in lining 
Insulator type 
Insulator damping/damping material (A) 
Caliper design 
Rotor modal 
parameter 
Process Elements 
Element OKA 
InvestigatingB 
Element Not Capable C 
Element Removed D 
Important: Look for Internal 
Indicator at Supplier 
facility and Assembly plant
6-PANEL 
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D M A I C R 
Example of Additional Tool – U152 Brake Cold Squeal Is/Is Not Analysis 
IS IS NOT 
U152 4X4 
U152 4X2 
Foundation brake (caliper, rotor, pads, 
insulator) 
Other chassis component or other 
component of the brake system 
Defect 
Brake squeal dominated at 6.6-6.8kHz 
range. 
Groan, grind, or rattle 
Foundation brake (caliper, rotor, pads, 
insulator) 
Squeal can be observed outside/ inside 
vehicle 
Front and rear brakes. Front noise is 
dominant 
Isolated to the front or rear axle. 
First 
observed 
Normal morning braking, cold dyno test 
Dyno testing (brake and vehicle) 
Normal customer, public road 
First 
observed 
GQRS 
Dealer, fleet, and various dyno/vehicle 
tests, JD Power, R/1000, GQRS 
Usually in the morning with cold 
temperature and high humidity 
Hot/warm noise or low humidity 
conditions 
Noise on the first few brake applies and 
then goes away. 
Repeatable after first few stops or 
continuous 
Brake rotor temperature -10°C < t < 
20°C 
Hot 
Low mileage and high mileage Isolated to low or high mileage. 
All U152 vehicles built through 4/2/02 Some Production months 
Trend 
It is cold squeal and depends on 
temperature and humidity. The TGW's 
typically range from 60-70. 
It is not warm/hot noise or observed in 
low humidity conditions 
Problem Statement: Brake squeal/audible noise. 
Problem solving worksheet ("Is/Is Not Profile") 
HOW BIG 
Problem description 
WHEN WHERE WHAT 
Object 
How many 
affected 
On Object 
NOTE: ONE THING WE SHOULD MAKE 
CERTAIN IS THAT WE SHOULD NOT LET 
THE IDENTIFICATION OF THE ROOT 
CAUSE (ANALYZE PHASE) BE A 
DETRIMENT TO THE TIMELY COMPLETION 
OF THE CONTAINMENT PLAN. AN 
INSPECTION, SORTING, STOP SHIP, ETC. 
MAY BE REQUIRED TO PROTECT THE 
CUSTOMER WITHOUT KNOWING THE 
"ROOT CAUSE".
6-PANEL 
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DMAICR 
ANALYZE PANEL (Minimum requirements): 
1)Which Inputs (Xs) affect my Outputs most (with data)? 
2)How many samples do you need to draw conclusions? 
3)What level of confidence do you have in your conclusions? 
Additional Tools:(add slide(s) to capture backup Analyze material) 
•Graphical Analysis & Hypothesis Testing 
•Regression Analysis 
•Correlation Analysis 
•Process FMEA 
•P-Diagram 
•Contribution Analysis 
•Multi-vari studies 
•Shainin Analysis
6-PANEL 
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0 2 4 6 8 
LSL 
Fascia locating holes on snow shoe 
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 (Ov erall) 
StDev (Within) 
Sample N 
Mean 
LSL 
Target 
USL 
0.18 
* 
0.18 
0.04 
* 
0.04 
0.00 
* 
0.00 
1.70 
1.70 
* 
* 
* 
1.79 
1.79 
* 
* 
1.19547 
1.13172 
41 
5.08993 
-1.00000 
* 
* 
Ov erall Capability Observ ed Perf ormance Exp. "Within" Perf ormance Exp. "Ov erall" Perf ormance 
Potential (Within) Capability 
Process Data 
Wi thin 
Overal l 
HOLE #1 HOLE # 2 
0.8 
0.4 
0.0 
MUFFLER HANGER BRACKET - HOLE LOCATION 
(means are indicated by solid circles) 
ANALYSIS OF VARIANCE 
Source DF SS MS F P 
Factor 1 0.0038 0.0038 0.05 0.826 
Error 48 3.7236 0.0776 
Total 49 3.7274 
FASCIA LOCATING HOLE & 
MUFFLER HANGER LOCATING HOLE 
DETERMINED AS INSIGNIFICANT “X” 
y=f(x) 
The current design muffler 
assembly aid positions the 
pipe to the center of tunnel, 
which is 4.2 mm from design 
position. This translates 13 
mm muffler body movement 
toward the fascia area. 
y=f(x) 
Muffler assembly aids used 
during installation require 
detailed 4.2 mm offset 
positioning feature to meet 
design intent. 
REDESIGNED ASSEMBLY AID 
• incorporated the 4.2 mm design 
CURRENT ASSEMBLY AID 
• 4.2 mm offset from design allows 
pipe position to vary when installed 
D M A I C R 
VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles 
VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
6-PANEL 
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DMAICR 
IMPROVE PANEL (Minimum requirements): 
1)What is the optimal Y=f(x) solution? 
2)How was optimal solution verified? (Statistical proof that the solution works.) 
3)Key actions taken and work plan to improve. Work plan must include: 
a.Permanent/Interim actions, 
b.Sample size, 
c.Next steps if trial is successful, 
d.Next steps if trial is NOT successful, 
e.Part availability if trial is successful, 
f.Additional actions pending. 
4)Validation of fix after implementation. Before and after process capability of Y, showing variable data histograms, attribute data, etc. 
Additional Tools:(add slide(s) to capture backup Improve material) 
•Design of Experiments (Main Effect & Interaction Plots, ANOVA Tables) 
•Regression Analysis 
•Correlation Analysis 
•Hypothesis Testing 
•Cost / Benefit Analysis 
•Process Mapping (should be)
6-PANEL 
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20 25 30 35 40 45 
LSL Target 
IMPROVEMENT VALIDATED 
Sable Muffler Clearance to Facia - 
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 
2.03 
2.03 
* 
* 
* 
2.63 
2.63 
* 
* 
3.25054 
2.51058 
120 
36.8375 
17.0000 
30.0000 
* 
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance 
Potential (Within) Capability 
Process Data 
Within 
Overall 
10 15 20 25 30 
LSL Target 
BASELINE PERFORMANCE 
Sable Muffler Clearance to Facia - 
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 
255141.04 
* 
255141.04 
239276.82 
* 
239276.82 
216216.22 
* 
216216.22 
0.22 
0.22 
* 
* 
* 
0.24 
0.24 
* 
* 
3.36607 
3.12746 
37 
19.2162 
17.0000 
30.0000 
* 
Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance 
Potential (Within) Capability 
Process Data 
Within 
Overall 
Improved y=f(x) 
A. Incorporate trimmed 
fascia and sheet metal for 
clearance. 
B. Muffler hanger bracket 
design modified, along 
with fascia and sheet 
metal change improved 
clearance 15 mm. 
Hypothesis Testing Statistically Confirms Improvement of Y 
One-way ANOVA: FASCI-END (IMPROVEMENT), FASCIA-PRE (BASELINE) 
Analysis of Variance 
Source DF SS MS F P 
Factor 1 8781.3 8781.3 822.74 0.000 
Error 155 1654.4 10.7 
Total 156 10435.6 
Individual 95% CIs For Mean 
Based on Pooled StDev 
Level N Mean StDev ----------+---------+---------+------ 
FASCI-EN 120 36.838 3.244 (*) 
FASCIA-P 37 19.216 3.343 (-*-) 
----------+---------+---------+------ 
Pooled StDev = 3.267 24.0 30.0 36.0 
Implementation Workplan 
Permanent / Before/After 
Interim Actions Who/When Indicators 
Concern C11298746 Robert Bryer 0.2 Cpk (B) 
Revised Sable Fascia (AAP-PVT) 1.2 Cpk (A) 
and sheet metal for In production 
additional clearance. Jan., 2002 
Concern C11272097 Steve Hornby 1.2 Cpk (B) 
Redesigned muffler (PTSE D&R) 2.0 Cpk (A) 
assy aid to meet design March, 2002 
y and z specification. 
All trails successful, see sample size above. All actions 
and parts in house and implemented, March 5th, 2002. 
BEFORE: Oct. 15, 2001 AFTER: March 1, 2002 
D M A I C R 
VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles 
VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
6-PANEL 
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D M A I C R 
Example of Weibull 
Plotting B10 Life 
Improvement 
FRONT AND REAR BRAKES CHASSIS ROLL DYNO-NOISE 
BEFORE AND AFTER DESIGN CHANGED 
0.30% 
17.80% 
0.00% 
5.00% 
10.00% 
15.00% 
20.00% 
Front Baseline Front New Insulator & 
Chamfer 
Percent Occurrence of Noisy Stops 
Additional Improve Phase Examples – Verification Data requires solid 
statistical evidence using adequate sample size showing the fix is permanent. 
Two Sample T-Test and Confidence Interval 
Two sample T for Rr Base vs Rr Verif. 
N Mean StDev SE Mean 
Rr Base 22 34.46 1.40 0.30 
Rr Verif 29 32.27 1.31 0.24 
95% CI for mu Rr Base - mu Rr Verif: ( 1.41, 2.96) 
T-Test mu Rr Base = mu Rr Verif (vs not =): T = 5.69 P = 0.0000 DF = 43 
Mean is at the 
Target of 32Sones 
P-Value is less than .05 
Therefore, there is a 
statistical difference 
between means 
Example of hypothesis testing. U152 Explorer wind noise 
level is significantly improved. 
Subgroup 0 10 20 30 40 50 
28 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
Individual Value 
66 
X=33.22 
3.0SL=37 
Baseline 
Noise Level (Base vs Modification) 
Modification
6-PANEL 
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D M A I C R 
0.033 
0.004 
0.000 
0.025 
0.050 
0.075 
0.100 
Baseline New Insulator & Chamfer 
Objective Noise Index 
0 
2 
4 
6 
8 
10 
0 5000 10000 15000 20000 25000 30000 35000 40000 45000 
Cumulative Test Mileage / Vehicle 
Cumulative Incidents / Vehicle 
Example of APG Durability Reliability Analysis 
Cumulative Incidents vs Cumulative Mileage 
APG or CAE/Lab test can be 
used for this Slot) 
Additional Improve Phase Examples – 
Verification with Durability Data 
DYNO: SAE J2521 & Simulated LACT 
operating conditions
6-PANEL 
Page 18 of 23 
D M A I C R 
• Develop a work plan is to include detailed course of actions to fix the problem, including permanent/ 
engineering/process/quality actions, Plant trial schedule and sample size, next step after the trail, etc 
Example - Work Plan 
WORKPLAN DETAIL TIMELINE CHART 
An overall plan showing improvement timelines for implementing containment, interim and permanent 
corrective actions. 
x Problem Definition - The GQRS and AWS indicator pointed out the following area of concern: 
x The PERMANENT/INTERIM engineering/process/quality actions we are working on is/are: 
Item Date Before After Indicator 
1 4/2/02 17% 0.30% % Noisy stop 
x We are running a trial of ___________ pieces 
No trail needed in assembly plants. Development and Test carried out at Dyno Lab 
x If all goes well, we will have parts in house on 4/02/02 (date) 
Explorer Customer experienced Brake Squeal after vehicle sitting at rest over night. Noise on the first few brake applies and 
then goes away. 
Project Improvement 
Action 
New Rubore insulator and chamfer 
Additional Improve Phase Example – 
Workplan detail timeline chart
6-PANEL 
Page 
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DMAICR 
CONTROL PANEL (Minimum requirements): 
1)Graphical (SPC Charts) or analytical proof showing that the process is in control over time, using internal indicators. 
2)What actions are taken to sustain the gains? (Example: Standard Operating Procedure changes (including control plan), permanent design or tooling change, etc.) 
Additional Tools:(add slide(s) to capture backup Control material) 
•Process or Design FMEAs 
•Control Plans for Process and Gage 
•Statistical Process Control 
•Standard Operating Procedures 
•Visual Factory 
•Preventative Maintenance 
•Prevent Recurrence 
•Poka Yoke / Mistake Proofing 
•Document special cause actions (Global 8-D), as necessary.
6-PANEL 
Page 20 of 23 
Subgroup 0 5 10 15 20 25 
41.5 
40.5 
39.5 
38.5 
37.5 
36.5 
35.5 
34.5 
33.5 
32.5 
Sample Mean 
Mean=36.91 
UCL=40.67 
LCL=33.15 
15 
10 
5 
0 
Sample Range 
R=6.521 
UCL=13.79 
LCL=0 
IMPROVEMENT SUSTAINED AND IN CONTROL! 
ITEM CONTROL Xbar/R Chart for Muffler Clearance to Facia 
DATE RESPONSIBLE 
C11298746 Revised Sable Fascia and sheet metal for additional 
clearance. 
In 
production 
Jan 2002. 
Robert Bryer Body Structures 
Engineer AAP-PVT 
C11272097 Redesigned muffler assembly aid to meet design y and z 
specification 
March 2002 Steve Hornby PTSE design 
engineer, Andrew Schmid BB, 
Pat Swann BB 
Submit for financial approval and order new parts 
In plant 
May 2002 
Tuan Nguyen Randy Wright 
AAP PVT 
Audit Plan On going 4 Poster test, M-10 drive, WRAP 
On line clearance checks 
Monitor daily 
Ongoing V.O. 4-poster test M-10 drive, 
WRAP performed at AAP/CAP 
Follow up audit during full production with new aid 
May 2002 Ken Eckert/John 
Kamph/Patricia Swann 
SDS-FMEA-DVP 
review 
Confirm system design requirements in place 
-ER-0052 Ver 15 Clearances Around the Exhaust System 
¡ Req Details 17164 20328 20331 20332 21239 
21240 
¡ Verification Method DVM-0033-ER 
–ER-0005 Ver 11 Exhaust Static Location 
¡ Req Details 23094/23484 
¡ Verification Method 10675 
SDS identified for update 
–ER-0039 Design for Assembly 
¡ Req Details 8624 
¡ Verification Method DVM-0033-ER 
April 2002 Pat Swann, Steve Hornby, 
Hank Newsome 
Dan Valle/Mark Dixon 
L66 (Exhaust System Trouble) warranty trend chart for 2002 Sable 
August 27, 2002 
Containment 10/17/02 
Fascia Change 1/2/02 
Muffler Aid Revised 3/1/02 
D M A I C R 
VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles 
VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
6-PANEL 
Page 21 of 23 
DMAICR 
Total Warranty Spending andUnexpended Warranty Savings: 
•Unexpended roadmap opportunities forall affected model year coverage periods: 
•Warranty-spending savings with roadmap actions: 
•Top spending parts for this CCC: (for each part, please explain) 
•Problem fixed in production 
•Optimized solution availability 
•Supplier is in Warranty Reduction Program 
Yes No 
Yes No 
Yes No 
1)What are your unexpended roadmap opportunities for ’00, ‘01, ’02, and ’03 MY? 
2)What is your warranty-spend savings with road map? 
3)What are your top spending parts for this CCC? For each part: 
•Is the problem fixed in production? 
•Is there an optimal solution? 
•Labor time: More efficient repair process, special service tool 
•Part pricing: Does it meet 70% guideline? 
•Other: Efficient repair procedure (part vs. subassembly) Improved diagnostics-reduced TNI, Policy changes, Customer education to prevent failure 
•Does the supplier participate in Warranty Reduction Program (WRP)?
6-PANEL 
Page 22 of 23 
DMAICR 
REPLICATION PANEL (Minimum requirements): 
1)Who else at Ford could be affected or could benefit? (Replication at another Plant or on another vehicle line?) 
2)Are there any larger business unit or even global intellectual capital effects? (SDS, FMEAs, VDS, etc. in need of updates?) 
3)After 6 months, is the process still in control and the improvement in Y and X sustained? (Control Charts, Proof from Warranty or GQRS, etc.) 
Additional Tools:(add slide(s) to capture backup Replicate/End material) 
•SPC, Control Charting
6-PANEL 
Page 23 of 23 
PROJECT END –PROOF OF SUSTAINMENT: 
Re-validated Process in Control Process Owner (8/27/02 Randy Wright-Atlanta Assembly Plant) 
Improvement Data proves sustainment ( 8/27/02 Capability –0 DPMO, Cpk=2.82) 
AWS Analysis indicates Financial Data Sustained ( Warranty Savings = $152,000/yr, 2.1 R/1000 ) 
REPLICATION (who else across Ford Motor Company could benefit?): Key ActionsIs this Replicable?If Yes, Where?Responsibility 
•Design Change to Assembly AidYes, at sister Plant (CAP)Chicago, ILLOrlando Ventura 
•Design Change to FasciaNo, specific to Taurus/Sable design 
UPDATES TO CORPORATE KNOWLEDGE BASE (who else across Ford Motor Company could benefit?): Core BookChange MadeOwnerDocument #Completed 
Attribute FMEA 
Design FMEA 
Process FMEA 
SDSChanged clearance specs.Dan ValleER-0039 ver118/2/2002 
VDS 
FDVS 
<other specify here> DMAICRCCC: L66 -Exhaust System TroublesVFG: V44 -Mechanical MalfunctionVRT: Powertrain / FuelVEHICLE: 2001 Taurus/SablePART: 5230 Muffler

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6 panel manual training guide by Tonatiuh Lozada Duarte an excellent method of solving problems

  • 1. PROBLEMRESOLUTIONPROCESS 6-PANEL Problem Resolution Process TRAINING MANUAL Tonatiuh Lozada Duarte October2014 Page 1 of 23
  • 2. 6-PANEL Page 2 of 23 Corporate NEEDGlobal 6-Panel Reporting standard: 1)6-Panel Problem Resolution is a high level problem resolution document to capture the key requirements and data to drive decisions through the problem solving phases: Define, Measure, Analyze, Improve, Control, and Replicate. 2)Assist problem solving teams with a template to guide the problem solving process using minimum required DMAIC+R steps to ensure robustness of the resolution. 3)Individual summary panels of each DMAIC+R phase that is simplified and standardized, while allowing for additional information or slides to be inserted as backup information for any of the problem resolution phases. In a high level management report out, communicate with the six summary panels. For a team or quarterback deep dive, unhide information on additional slides. 4)Standardization of problem resolution procedures combining best practices and 6-Sigma methodology on a format that is flexible enough to be used by all business units. 5)Simplified and consistent communication to management in a concise way without having to rewrite what you have done. 6)Encourages management to ask questions in line with the 6-Sigma disciplined methodology.
  • 3. 6-PANEL Page 3 of 23 6-Panel Problem Resolution is a high level problem resolution document to capture the key requirements used to drive data decision through the problem solving phases: Define, Measure, Analyze, Improve, Control, and Replicate. Improve Phase How can we permanently fix the current product/process? •DOE & ANOVA •Verification data •Durability/CAE/VSA •Work plan Control Phase How can we make the process stay fixed? •Control Plans •SPC –Control Charting •Audit Plans Replicate Phase Who else at Ford can benefit? Update corporate knowledge? Is the gain be sustained? •Replication / Best Practices •Core Books –SDS/VDS/FMEAs •Validate sustain w/ data Define Phase Who is my customer, and what isthe current cost of poor quality? •Voice of the Customer •Defect Definition •Cost of Poor Quality (includeswarranty spending, as necessary) •Project Scope & Goal Measure Phase Which inputs affect ouputs? What is my current processperformance (capability)? Are defects contained? Analyze Phase By how much do X’s affect Y? What confidence do you have? •Graphical Analysis •Hypothesis Testing •Regression Analysis •Additional tools Panel 2 Panel 1 Panel 3 Panel 4 Panel 5 Panel 6 •Fish Bone •Gage R&R, Baseline Capability •Containment Plan Process Layout
  • 4. 6-PANEL Page 4 of 23 DMAICR6-PANEL Header: Identify VRT to CCC cascade of the issue in the header. The following generic fields are listed to identify project ownership (business unit), the customer, affected vehicle, process, and/or part number. Please note:The header “VRT / VFG / CCC” information along with the footer “Project Number / BB Name” information must be updated on the SLIDE MASTER. Goto“View” then “Master” then “Slide Master” to make these changes. CustomerVFG Team / Functional Area NameVRT / Business Unit NameVehicle Name & Model Year / Product NamePart / Process Name & NumberCCC: L66 –Exhaust System TroublesVFG: V44 –Mechanical MalfunctionVRT: Powertrain / FuelVEHICLE: 2001 Taurus / SablePART: 5230 Muffler Manufacturing / Technical Example: Transactional Example: Ford Motor Company PlantsGlobal CustomsMP&LGlobal Customs and Trade Process9801 Duty Preference Program
  • 5. 6-PANEL Page 5 of 23 DMAICR DEFINE PANEL (Minimum requirements): 1)Identify the Project Classification(Safety, Quality, Deliver, Cost…) objectives. Typical quality classifications will be based upon the Single Agenda for Quality data (both low time in service, 3 MIS, and high time in service, 3 YIS) from GQRS and Warranty. Include total annual warranty spending and JD Power data if available. In addition, use internal data indicators to help identify the concern including Best In Class (BIC) and Best In Ford (BIF) data to address customer concerns. 2)Trend Charts and Breakdown of Issue(Internal or External trends, and graphical quantification and pareto formulates a means of prioritizing and help reflect the teams understanding of the major components making up the concern.) Data trend charts over time help define the severity of customer concerns. Data trend charts over time should include annotative updates. If needed, add backup slides. 3)Y=f(x) Cascade(High level Y=f(x) cascade should communicate the scope of the project). 4)CTQ (Critical to Quality) Statement-identifies customer requirements / expectations. 5)Defect Definition of Key Process Output Variable (KPOV or Y)in the form of an engineering metric. 6)Cost of Poor Quality(Cost of the Problem includes all external and internal cost, TGW, Total Warranty Spending and Unexpended Warranty, labor & overhead, etc.) 7)Problem Statement(include scope and goal) Additional Tools:(add slide(s) to capture backup Define material) •Process Mapping (As Is), SIPOC, Is-Is Not Analysis •Unexpended Warranty Calculations •TGW Verbatim Analysis •QFD
  • 6. 6-PANEL Page 6 of 23 VOICE OF THE CUSTOMER: From AWS Verbatims “the vehicle bottoms out, exhaust noise banging on side of vehicle.” CTQ STATEMENT (Customer Requirement): Customers expect no ground out noises from the exhaust system. DEFECT DEFINITION for Y (Engineering Metric): Muffler to body clearance less than 17mm at fascia COST OF POOR QUALITY (TGW, Unexpended Warranty, etc.): $350,000 annually in internal repairs and external warranty. In addition, 2.5 TGWs from 3MIS GQRS surveys. PROBLEM STATEMENT, SCOPE, AND GOAL Owners of 2001 MY Taurus/Sable vehicles indicate that exhaust pipes and muffler to body side ground outs are a significant issue. These ground outs conditions, particularly around the rear fascia & lower control arm, cause noises such as rattles, knocks, bangs, clunks, dings, and rubs. Reduce ground outs by 90%. 2002 L66 Warranty by part 5230- Muffler 16.36 5246-Pipe Assy 4.03 5E212-Catalyst 2.22 5200-Muffler 2.07 5A294-Muffler Brkt 1.22 NPF 1.08 All others 1.8 Y=f(x) CASCADE: Y= L66= f (Muffler, Pipe, etc.) Muffler= f ( Ground outs, etc.) Ground Outs= f (clearance to fascia) Project Y D M A I C R 3 MIS R/1000 TREND CHARTS and BREAKDOWN OF ISSUE: L66 (Exhaust System Trouble) warranty 2002 Sable VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler TOTAL WARRANTY SPENDING: $315K (2002 CY) PROJECT CLASSIFICATION: SAQ #26 L66 - Exhaust System Troubles ’01 MY ’99 MY 3 MIS 3 YIS TGW 4 6 CUST SAT LOSS 0.43 0.61 CPU 0.27 2.11 R/1000 1.04 3.54 JD Power 0.4 Consumer Reports n/a for L66
  • 7. 6-PANEL Page 7 of 23 D M A I C R Explorer N17 (Brakes Noisy) Trend Over Time R/1000 5/31/02 Cutoff Date / 60 Day Logic 0 2 4 6 8 10 12 14 16 18 Jan-01 Mar-01 May-01 Jul-01 Sep-01 Nov-01 Jan-02 Mar-02 Production Month R/1000 1MIS BIF 3MIS BIF 6MIS BIF 9MIS BIF 1MIS 3MIS 6MIS 9MIS 12MIS Explorer N17 (Brakes Noisy) Trend Over Time CPU 5/31/02 Cutoff Date / 60 Day Logic 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 36892 36951 37012 37073 37135 37196 37258 37317 Production Month CPU 1MIS BIF 6MIS BIF 9MIS BIF 3MIS BIF 1MIS 3MIS 6MIS 9MIS 12MIS Explorer (U152) Top 100 Overall Rank VRT VFG CCC's CCC Description CUST SAT LOSS TGW R/1000 3MIS CPU 3MIS JDP 2002 (Problems/100) 2002 MY High Miles (CPU) 21 Chassis V21 N17 Brakes Noisy 0.25 67 3.43 0.37 6.3 1.85 40 (BIC) .42 (BIF) .03 (BIF) 3.9 (BIC) Brake Noise Indicators
  • 8. 6-PANEL Page 8 of 23 DMAICR MEASURE PANEL (Minimum requirements): 1)Fishbone (Cause & Effect Diagram).Identify the key process input variables (KPIV or Xs) that affect your KPOV (Y) most (display ranking). (This is the first stage of root cause analysis, in the analyze phase you will validate the root cause with data). 2)MSA –Measurement System Analysis. Validate the Measurement System for your KPOV (Y), Gage R&R stated as % Study. (May be needed for both Ysand Xsperformed in other stages of the project.) 3)Determine the Baseline Process Capabilityof your KPOV (Y) 4)Containment Plan-state actions taken to protect the customer, including statistical evidence validating action (before and after data). If containment is not needed, state why. While the team is working on permanent solution, containment actions are required to protect the customer 100%. Example of actions include Stop-ship, 100% inspection, Quarantine stock, QR’s supplier. Use additional slides with visual aids to this panel to drive home your containment resolutions. Effectiveness of containment actions must be shown with Before and After indicator. Containment Plans should include: 1. Metric/Indicator that is used to find the issue at: (a) Supplier facility, before shipping to Ford facility, (b) Assembly plant, before shipping to customers. 2. Before and after statistical data evidence showing the issue is contained (Cpk, defect rate, etc) Additional Tools:(add slide(s) to capture backup Measure material) •Cause & Effect Matrix •P-Diagram •PFMEA and/or DFMEA •SPC •Rolled Throughput Yield
  • 9. 6-PANEL Page 9 of 23 10 15 20 25 30 LSL Target FASCIA CLEARANCE TO MUFFLER OLD- ALL 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 * 30.0000 17.0000 19.2162 37 3.12746 3.36607 * * 0.24 0.24 * * * 0.22 0.22 216216.22 * 216216.22 239276.82 * 239276.82 255141.04 * 255141.04 Process Data Potential (Within) Capability Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance Within Overall CONTAINMENT (state reasoning if not required): Process Owner Date Before Data After Data 100% audit (clearances at fascia / lower control arm. John Smith 10/17/01 0.24 Cpk 1.23 Cpk • When necessary, reposition muffler assembly to obtain adequate clearance. • If muffler does not shift to desired position, loosen joint attachment & reposition assembly. MSA & Process Capability:  Engineering TestRequirement Muffler to Body Clearance (17-30 mm)  Gage R&R = 15 % Study  Baseline Capability (Oct. 15, 2001): • Z = 0.72 • DPMO = 255,141 • Cpk = 0.24 (note: short term) Data Collection plan includes all circled, highly ranked X’s D M A I C R Process Elements Element OK A Investigating B Element Not Capable C Element Removed D A A B B B B B A B VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
  • 10. 6-PANEL Page 10 of 23 DMAICR •Fishbone diagram is one of the most widely used tools in quality management. Example –Brake Cold Squeal Fish Bone Diagram FISHBONE Cause and Effect diagram is a problem solving tool used to identify and graphically display all possible causes of a problem or effect. It helps a team to discover root cause(s). Additional tools can and should be used to deep dive in the measure phase to help prioritize the KPIV –Key Process Input Variables: causeand effect priority matrix, fault tree / contribution analysis, process / design FMEAs, is/is not analysis, process mapping, etc. Environment Customer Usage System Interactions Piece to Piece Vartiation Aging Wear Design Brake application (line pressure) Vehicle speed Braking distance Driving habits (D) Cooling of Brake System (D) Pad modal parameters (A) Material Property Variation Surface Friction Variation Manufacturing misassembly (D) Rotor/Hub Alignment Pad Geometric Variations Pad Damping Deterioration Running Clearance Sys Damping Deterioration Pad/Lining Wear/Cracked Aging of Slide Pin Wear Shape of lining (A) Uneven Rotor Wear Lining material Characteristics (A) Humidity(wet/dry)/ water/Moisture absorption (A) Contaminates Corrosion Road salts Solvents Temperature Road inputs Customer’s Maintenance Schedules (D) Incorrect Maintenance (D) Road Quality (D) Lot Rot Deceleration rate Suspension Interactions (D) Body Sensitivities (Acoustic/Vibration (D) Rotor Warping Rotor Scorching Booster Noise Filter Wear Rotor Geometric Variations Thickness of lining material (A) Pad/Rotor pressure distribution (even/uneven)when apply brake (B) Chamfers in lining (A) Slots in lining Insulator type Insulator damping/damping material (A) Caliper design Rotor modal parameter Process Elements Element OKA InvestigatingB Element Not Capable C Element Removed D Important: Look for Internal Indicator at Supplier facility and Assembly plant
  • 11. 6-PANEL Page 11 of 23 D M A I C R Example of Additional Tool – U152 Brake Cold Squeal Is/Is Not Analysis IS IS NOT U152 4X4 U152 4X2 Foundation brake (caliper, rotor, pads, insulator) Other chassis component or other component of the brake system Defect Brake squeal dominated at 6.6-6.8kHz range. Groan, grind, or rattle Foundation brake (caliper, rotor, pads, insulator) Squeal can be observed outside/ inside vehicle Front and rear brakes. Front noise is dominant Isolated to the front or rear axle. First observed Normal morning braking, cold dyno test Dyno testing (brake and vehicle) Normal customer, public road First observed GQRS Dealer, fleet, and various dyno/vehicle tests, JD Power, R/1000, GQRS Usually in the morning with cold temperature and high humidity Hot/warm noise or low humidity conditions Noise on the first few brake applies and then goes away. Repeatable after first few stops or continuous Brake rotor temperature -10°C < t < 20°C Hot Low mileage and high mileage Isolated to low or high mileage. All U152 vehicles built through 4/2/02 Some Production months Trend It is cold squeal and depends on temperature and humidity. The TGW's typically range from 60-70. It is not warm/hot noise or observed in low humidity conditions Problem Statement: Brake squeal/audible noise. Problem solving worksheet ("Is/Is Not Profile") HOW BIG Problem description WHEN WHERE WHAT Object How many affected On Object NOTE: ONE THING WE SHOULD MAKE CERTAIN IS THAT WE SHOULD NOT LET THE IDENTIFICATION OF THE ROOT CAUSE (ANALYZE PHASE) BE A DETRIMENT TO THE TIMELY COMPLETION OF THE CONTAINMENT PLAN. AN INSPECTION, SORTING, STOP SHIP, ETC. MAY BE REQUIRED TO PROTECT THE CUSTOMER WITHOUT KNOWING THE "ROOT CAUSE".
  • 12. 6-PANEL Page 12 of 23 DMAICR ANALYZE PANEL (Minimum requirements): 1)Which Inputs (Xs) affect my Outputs most (with data)? 2)How many samples do you need to draw conclusions? 3)What level of confidence do you have in your conclusions? Additional Tools:(add slide(s) to capture backup Analyze material) •Graphical Analysis & Hypothesis Testing •Regression Analysis •Correlation Analysis •Process FMEA •P-Diagram •Contribution Analysis •Multi-vari studies •Shainin Analysis
  • 13. 6-PANEL Page 13 of 23 0 2 4 6 8 LSL Fascia locating holes on snow shoe 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 (Ov erall) StDev (Within) Sample N Mean LSL Target USL 0.18 * 0.18 0.04 * 0.04 0.00 * 0.00 1.70 1.70 * * * 1.79 1.79 * * 1.19547 1.13172 41 5.08993 -1.00000 * * Ov erall Capability Observ ed Perf ormance Exp. "Within" Perf ormance Exp. "Ov erall" Perf ormance Potential (Within) Capability Process Data Wi thin Overal l HOLE #1 HOLE # 2 0.8 0.4 0.0 MUFFLER HANGER BRACKET - HOLE LOCATION (means are indicated by solid circles) ANALYSIS OF VARIANCE Source DF SS MS F P Factor 1 0.0038 0.0038 0.05 0.826 Error 48 3.7236 0.0776 Total 49 3.7274 FASCIA LOCATING HOLE & MUFFLER HANGER LOCATING HOLE DETERMINED AS INSIGNIFICANT “X” y=f(x) The current design muffler assembly aid positions the pipe to the center of tunnel, which is 4.2 mm from design position. This translates 13 mm muffler body movement toward the fascia area. y=f(x) Muffler assembly aids used during installation require detailed 4.2 mm offset positioning feature to meet design intent. REDESIGNED ASSEMBLY AID • incorporated the 4.2 mm design CURRENT ASSEMBLY AID • 4.2 mm offset from design allows pipe position to vary when installed D M A I C R VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
  • 14. 6-PANEL Page 14 of 23 DMAICR IMPROVE PANEL (Minimum requirements): 1)What is the optimal Y=f(x) solution? 2)How was optimal solution verified? (Statistical proof that the solution works.) 3)Key actions taken and work plan to improve. Work plan must include: a.Permanent/Interim actions, b.Sample size, c.Next steps if trial is successful, d.Next steps if trial is NOT successful, e.Part availability if trial is successful, f.Additional actions pending. 4)Validation of fix after implementation. Before and after process capability of Y, showing variable data histograms, attribute data, etc. Additional Tools:(add slide(s) to capture backup Improve material) •Design of Experiments (Main Effect & Interaction Plots, ANOVA Tables) •Regression Analysis •Correlation Analysis •Hypothesis Testing •Cost / Benefit Analysis •Process Mapping (should be)
  • 15. 6-PANEL Page 15 of 23 20 25 30 35 40 45 LSL Target IMPROVEMENT VALIDATED Sable Muffler Clearance to Facia - 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 2.03 2.03 * * * 2.63 2.63 * * 3.25054 2.51058 120 36.8375 17.0000 30.0000 * Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance Potential (Within) Capability Process Data Within Overall 10 15 20 25 30 LSL Target BASELINE PERFORMANCE Sable Muffler Clearance to Facia - 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 255141.04 * 255141.04 239276.82 * 239276.82 216216.22 * 216216.22 0.22 0.22 * * * 0.24 0.24 * * 3.36607 3.12746 37 19.2162 17.0000 30.0000 * Overall Capability Observed Performance Exp. "Within" Performance Exp. "Overall" Performance Potential (Within) Capability Process Data Within Overall Improved y=f(x) A. Incorporate trimmed fascia and sheet metal for clearance. B. Muffler hanger bracket design modified, along with fascia and sheet metal change improved clearance 15 mm. Hypothesis Testing Statistically Confirms Improvement of Y One-way ANOVA: FASCI-END (IMPROVEMENT), FASCIA-PRE (BASELINE) Analysis of Variance Source DF SS MS F P Factor 1 8781.3 8781.3 822.74 0.000 Error 155 1654.4 10.7 Total 156 10435.6 Individual 95% CIs For Mean Based on Pooled StDev Level N Mean StDev ----------+---------+---------+------ FASCI-EN 120 36.838 3.244 (*) FASCIA-P 37 19.216 3.343 (-*-) ----------+---------+---------+------ Pooled StDev = 3.267 24.0 30.0 36.0 Implementation Workplan Permanent / Before/After Interim Actions Who/When Indicators Concern C11298746 Robert Bryer 0.2 Cpk (B) Revised Sable Fascia (AAP-PVT) 1.2 Cpk (A) and sheet metal for In production additional clearance. Jan., 2002 Concern C11272097 Steve Hornby 1.2 Cpk (B) Redesigned muffler (PTSE D&R) 2.0 Cpk (A) assy aid to meet design March, 2002 y and z specification. All trails successful, see sample size above. All actions and parts in house and implemented, March 5th, 2002. BEFORE: Oct. 15, 2001 AFTER: March 1, 2002 D M A I C R VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
  • 16. 6-PANEL Page 16 of 23 D M A I C R Example of Weibull Plotting B10 Life Improvement FRONT AND REAR BRAKES CHASSIS ROLL DYNO-NOISE BEFORE AND AFTER DESIGN CHANGED 0.30% 17.80% 0.00% 5.00% 10.00% 15.00% 20.00% Front Baseline Front New Insulator & Chamfer Percent Occurrence of Noisy Stops Additional Improve Phase Examples – Verification Data requires solid statistical evidence using adequate sample size showing the fix is permanent. Two Sample T-Test and Confidence Interval Two sample T for Rr Base vs Rr Verif. N Mean StDev SE Mean Rr Base 22 34.46 1.40 0.30 Rr Verif 29 32.27 1.31 0.24 95% CI for mu Rr Base - mu Rr Verif: ( 1.41, 2.96) T-Test mu Rr Base = mu Rr Verif (vs not =): T = 5.69 P = 0.0000 DF = 43 Mean is at the Target of 32Sones P-Value is less than .05 Therefore, there is a statistical difference between means Example of hypothesis testing. U152 Explorer wind noise level is significantly improved. Subgroup 0 10 20 30 40 50 28 29 30 31 32 33 34 35 36 37 38 Individual Value 66 X=33.22 3.0SL=37 Baseline Noise Level (Base vs Modification) Modification
  • 17. 6-PANEL Page 17 of 23 D M A I C R 0.033 0.004 0.000 0.025 0.050 0.075 0.100 Baseline New Insulator & Chamfer Objective Noise Index 0 2 4 6 8 10 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 Cumulative Test Mileage / Vehicle Cumulative Incidents / Vehicle Example of APG Durability Reliability Analysis Cumulative Incidents vs Cumulative Mileage APG or CAE/Lab test can be used for this Slot) Additional Improve Phase Examples – Verification with Durability Data DYNO: SAE J2521 & Simulated LACT operating conditions
  • 18. 6-PANEL Page 18 of 23 D M A I C R • Develop a work plan is to include detailed course of actions to fix the problem, including permanent/ engineering/process/quality actions, Plant trial schedule and sample size, next step after the trail, etc Example - Work Plan WORKPLAN DETAIL TIMELINE CHART An overall plan showing improvement timelines for implementing containment, interim and permanent corrective actions. x Problem Definition - The GQRS and AWS indicator pointed out the following area of concern: x The PERMANENT/INTERIM engineering/process/quality actions we are working on is/are: Item Date Before After Indicator 1 4/2/02 17% 0.30% % Noisy stop x We are running a trial of ___________ pieces No trail needed in assembly plants. Development and Test carried out at Dyno Lab x If all goes well, we will have parts in house on 4/02/02 (date) Explorer Customer experienced Brake Squeal after vehicle sitting at rest over night. Noise on the first few brake applies and then goes away. Project Improvement Action New Rubore insulator and chamfer Additional Improve Phase Example – Workplan detail timeline chart
  • 19. 6-PANEL Page 19 of 23 DMAICR CONTROL PANEL (Minimum requirements): 1)Graphical (SPC Charts) or analytical proof showing that the process is in control over time, using internal indicators. 2)What actions are taken to sustain the gains? (Example: Standard Operating Procedure changes (including control plan), permanent design or tooling change, etc.) Additional Tools:(add slide(s) to capture backup Control material) •Process or Design FMEAs •Control Plans for Process and Gage •Statistical Process Control •Standard Operating Procedures •Visual Factory •Preventative Maintenance •Prevent Recurrence •Poka Yoke / Mistake Proofing •Document special cause actions (Global 8-D), as necessary.
  • 20. 6-PANEL Page 20 of 23 Subgroup 0 5 10 15 20 25 41.5 40.5 39.5 38.5 37.5 36.5 35.5 34.5 33.5 32.5 Sample Mean Mean=36.91 UCL=40.67 LCL=33.15 15 10 5 0 Sample Range R=6.521 UCL=13.79 LCL=0 IMPROVEMENT SUSTAINED AND IN CONTROL! ITEM CONTROL Xbar/R Chart for Muffler Clearance to Facia DATE RESPONSIBLE C11298746 Revised Sable Fascia and sheet metal for additional clearance. In production Jan 2002. Robert Bryer Body Structures Engineer AAP-PVT C11272097 Redesigned muffler assembly aid to meet design y and z specification March 2002 Steve Hornby PTSE design engineer, Andrew Schmid BB, Pat Swann BB Submit for financial approval and order new parts In plant May 2002 Tuan Nguyen Randy Wright AAP PVT Audit Plan On going 4 Poster test, M-10 drive, WRAP On line clearance checks Monitor daily Ongoing V.O. 4-poster test M-10 drive, WRAP performed at AAP/CAP Follow up audit during full production with new aid May 2002 Ken Eckert/John Kamph/Patricia Swann SDS-FMEA-DVP review Confirm system design requirements in place -ER-0052 Ver 15 Clearances Around the Exhaust System ¡ Req Details 17164 20328 20331 20332 21239 21240 ¡ Verification Method DVM-0033-ER –ER-0005 Ver 11 Exhaust Static Location ¡ Req Details 23094/23484 ¡ Verification Method 10675 SDS identified for update –ER-0039 Design for Assembly ¡ Req Details 8624 ¡ Verification Method DVM-0033-ER April 2002 Pat Swann, Steve Hornby, Hank Newsome Dan Valle/Mark Dixon L66 (Exhaust System Trouble) warranty trend chart for 2002 Sable August 27, 2002 Containment 10/17/02 Fascia Change 1/2/02 Muffler Aid Revised 3/1/02 D M A I C R VRT: Powertrain / Fuel VFG: V44 - Mechanical Malfunction CCC: L66 - Exhaust System Troubles VEHICLE: 2001 Taurus/Sable PART: 5230 Muffler
  • 21. 6-PANEL Page 21 of 23 DMAICR Total Warranty Spending andUnexpended Warranty Savings: •Unexpended roadmap opportunities forall affected model year coverage periods: •Warranty-spending savings with roadmap actions: •Top spending parts for this CCC: (for each part, please explain) •Problem fixed in production •Optimized solution availability •Supplier is in Warranty Reduction Program Yes No Yes No Yes No 1)What are your unexpended roadmap opportunities for ’00, ‘01, ’02, and ’03 MY? 2)What is your warranty-spend savings with road map? 3)What are your top spending parts for this CCC? For each part: •Is the problem fixed in production? •Is there an optimal solution? •Labor time: More efficient repair process, special service tool •Part pricing: Does it meet 70% guideline? •Other: Efficient repair procedure (part vs. subassembly) Improved diagnostics-reduced TNI, Policy changes, Customer education to prevent failure •Does the supplier participate in Warranty Reduction Program (WRP)?
  • 22. 6-PANEL Page 22 of 23 DMAICR REPLICATION PANEL (Minimum requirements): 1)Who else at Ford could be affected or could benefit? (Replication at another Plant or on another vehicle line?) 2)Are there any larger business unit or even global intellectual capital effects? (SDS, FMEAs, VDS, etc. in need of updates?) 3)After 6 months, is the process still in control and the improvement in Y and X sustained? (Control Charts, Proof from Warranty or GQRS, etc.) Additional Tools:(add slide(s) to capture backup Replicate/End material) •SPC, Control Charting
  • 23. 6-PANEL Page 23 of 23 PROJECT END –PROOF OF SUSTAINMENT: Re-validated Process in Control Process Owner (8/27/02 Randy Wright-Atlanta Assembly Plant) Improvement Data proves sustainment ( 8/27/02 Capability –0 DPMO, Cpk=2.82) AWS Analysis indicates Financial Data Sustained ( Warranty Savings = $152,000/yr, 2.1 R/1000 ) REPLICATION (who else across Ford Motor Company could benefit?): Key ActionsIs this Replicable?If Yes, Where?Responsibility •Design Change to Assembly AidYes, at sister Plant (CAP)Chicago, ILLOrlando Ventura •Design Change to FasciaNo, specific to Taurus/Sable design UPDATES TO CORPORATE KNOWLEDGE BASE (who else across Ford Motor Company could benefit?): Core BookChange MadeOwnerDocument #Completed Attribute FMEA Design FMEA Process FMEA SDSChanged clearance specs.Dan ValleER-0039 ver118/2/2002 VDS FDVS <other specify here> DMAICRCCC: L66 -Exhaust System TroublesVFG: V44 -Mechanical MalfunctionVRT: Powertrain / FuelVEHICLE: 2001 Taurus/SablePART: 5230 Muffler