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2014 
2014-09-04 
INNOVATION CENTRIC GROUP 
1 
ROOT CAUSE ANALYSIS
2 
What is a Root Cause Analysis? 
Is an approach for identifying the underlying causes of why an incident occurred 
so that the most effective solutions can be identified and implemented. 
It's typically used when something goes badly, but can also be used when 
something goes well. 
Within an organization, problem solving, incident investigation and root cause 
analysis are all fundamentally connected by three basic questions: 
What's the problem? 
Why did it happen? 
What will be done to prevent it?
3 
Root Cause Analysis Basis 
Above de 
surface 
“Obvious” 
Symptom of “The Weed” 
the problem 
Bellow the 
surface “Not 
Obvious” 
Underlying “The Root” 
Causes
4 
Cause Mapping Method of 
Root Cause Analysis 
In the Cause Mapping method, the word root, in root cause analysis refers to the 
causes that are beneath the surface. 
Most organizations mistakenly use the term "root cause" to identify the one, main 
cause. Focusing on a single cause can limit the solutions set resulting in better 
solutions being missed. A Cause Map provides a simple visual explanation of all 
the causes that were required to produce the incident. 
The root is the system of 
causes that reveals all of the 
different options for solutions.
5 
Cause Mapping Method of 
3 Basic Steps 
Define / GOALS 
Analyze / CAUSES 
Prevent / 
SOLUTIONS 
Define the issue by its 
impact to overall goals 
Analyze the causes in a 
visual map 
Prevent or mitigate any 
negative impact to the 
goals by selecting the 
most effective solutions.
6 
Root Causes Phases 
1 
• Define the Problem. 
• Define process defect (CTQ) NAL resources to participate in this activity (see ICG six sigma 
presentation) 
2 
• Measure the Problem 
3 
• Root Cause analysis (5 Why's, fishbone tools) / Run monthly reports / Review individual transactions. Review JE 
back up/ Quantify issues (type) resulting in J/E's (process defect). Incorrect coding, wrong AFE, Wrong CC, 
incorrect accounting month. / Rationalize data by : vendor, Originator, Issue type 
4 
• Plan and develop plan/process to communicate defects to NAL internal resources. Training, 
compliance, vendor performance, etc. 
5 
• Effectiveness of measure future state against initial process baseline. Repeat step 3 Improvement 
6 
• Develop communication plan, internal policies and procedures inclusive of training and Control 
Monitor/ongoing measure ongoing process step 3, 4, 5
USL Target Operational 
Definition # Defect 
7 
ROOT CAUSE ANALYSIS TOOLS 
CTQ Performance Standards 
Output Project Y (Little y ) Measure 
Characteristic 
To Big Y 
CTQ Performance Characteristics 
LSL 
How Process Will 
Be Measured Defect 
Project Y Metric – Continuous Data 
Opp per Unit 
Timeliness The amount of time 
between receipt off 
invoice and/ or 
terms due date and 
payment 
The number of 
days between 
invoice 
matching and 
check 
payment 
- 5 days + 5 days 5 days Any 
Invoice 
beyond 
the 
USL 
and 
LSD 
1
8 
ROOT CAUSE ANALYSIS TOOLS 
DMAIC 
Process Characterization 
Define 
Measure 
Analyze 
Process Optimization 
Improve 
Control 
Executive 
management 
Champions 
Master Black 
Belts 
Black Belt 
Team 
Team 
Team 
Black Belt 
Team 
Team 
Black Belt 
Team 
Team
9 
The DMAIC process 
Define 
Control 
Analyze 
Measure 
Improve
Define “as is” 
and “to be” 
opportunity for 
project. 
Measure current 
process 
performance. 
Analyze the 
problem to find 
out root causes. 
Improve… 
Identify potential 
solutions and 
begin to 
implement them. 
Control the 
performance to 
continue to 
achieve higher 
results. 
10 
Improvement Process: DMAIC
11 
How do we do it? 
What makes DMAIC unique is that it 
focuses on eliminating problems by 
looking at the processes that create 
them, not on assigning blame to people 
or functions. DMAIC helps us research 
and analyze our processes, which then 
leads us to more effective and 
permanent solutions.
Define 
Control 
Analyze 
Measure 
Improve 
12 
The DMAIC process
13 
The DMAIC process 
• Deliverable: 
• Identify Customer(s)and project *CTQ’s 
(Critical to Quality) 
A. Identify Project 
CTQs 
• Deliverables: 
• Develop business case 
• Develop the Problem and Goal statements 
• Determine the project scope 
• Select team and define Roles 
• Set project milestones 
B. Develop Team 
Charter 
• Deliverable: 
• High level process map 
C. Define process 
map 
Define Phase
14 
The DMAIC process 
• Deliverable: 
• Identify Measurable CTQ that will be 
improved 
A. Select CTQ 
Characteristics 
• Deliverables: 
• Determine and confirm Specification 
limits for your Y 
B. Define 
performance 
standards 
• Deliverable: 
• Measurement system adequate to 
measure Y 
C. Establish data 
collection plan, validate 
measurement System 
and collect data 
Tools: 
QFD 
Process Mapping 
FMEA 
Pareto 
Cause and Effect Diagram 
Tools: 
Continuous Gage R&R 
Test/Retest 
Attribute Gage R&R 
Measure Phase
15 
The DMAIC process 
• Deliverable: 
• Baseline Current Project 
A. Establish 
Process 
Capability 
• Deliverables: 
• Statistically Define the goal of the 
Project 
B. Define 
performance 
objectives 
• Deliverable: 
• List of statistically Significant Xs, 
Chosen based on Analysis of 
Historical Data 
C. Identify 
Variation 
Sources 
Tools: 
Basic Statistics 
Graphical Analysis 
Sampling 
Continuous Zst, Zit 
Normality 
Discrete Zst, Zit 
Tools: 
Benchmarking 
Tools: 
Process Analysis 
Graphical Analysis 
Hypothesis Testing 
Regression Analysis 
GLM 
Analyze Phase
16 
The DMAIC process 
• Deliverable: 
• Determine the Vital few Xs that are 
causing changes in Y 
A. Screen 
potential 
causes 
• Deliverables: 
• Develop business case 
• Develop the Problem and Goal statements 
• Determine the project scope 
• Select team and define Roles 
• Set project milestones 
B. Develop 
Team Charter 
• Deliverable: 
• High level process map 
C. Define 
process map 
Improve Phase
17 
The DMAIC process 
• Deliverable:" 
• Identify Customer(s)and project CTQ’s" 
A. Identify Project 
CTQs " 
• Deliverables:" 
• Develop business case" 
• Develop the Problem and Goal statements" 
• Determine the project scope" 
• Select team and define Roles" 
• Set project milestones" 
B. Develop Team 
Charter" 
• Deliverable:" 
• High level process map" 
C. Define process 
map" 
Control Phase
18 
ROOT CAUSE ANALYSIS TOOLS 
PROJECT ACTION PLAN 
Monthly Action Plan 
Initiative: 
Process Owner Date 
What How Who When Deliverables 
(Action to Take) (Action Steps) (Accountable) Start Finish
Why can’t 
we pay bills 
on time 
Measurement Methods System 
*Cycle time too long before receipt 
of approved bill for payment. 
*Lack of standardized process/ 
procedures. 
*Bills are not being sent to a central 
location. 
*Approval hierarchy not established/ 
define 
*Inaccurate terms date in 
the system. 
*Poor understanding of 
current system 
capabilities. 
Accounts Payable | Payment Process 
* Deals being made outside of 
vendor NET terms. 
* Holding on to bills too long. 
*Net vendor terms impossible 
to meet 
*No POD’s being sent 
consistent. 
Mother Nature People Materials 
19 
ROOT CAUSE ANALYSIS TOOLS 
FISHBONE
20 
ROOT CAUSE ANALYSIS TOOLS 
BRAINSTORM 
Brainstorm Potential Root Causes 
Problem Statement: 
Rank Potential Root Cause Supporting Data & Analysis?* Source? Who? When? 
*Common types of data and analysis Analysis description: 
Detailed Process 
Review Careful walkthrough of the process step by step to determine the source, nature and frequency of the problem 
Process Mapping Detailed process flow analysis to understand all the steps of the process, how the problem occurs and to document the process flow 
Visual Analysis Visual examination of the problem and visual documentation such as digital photos and videos 
Cause and Effect 
(Event) Analysis Examination of the potential relationship of factors and or event conditions on the problem 
Data Collection and 
Analysis Measurement of performance from the product or process and an analysis of current data and associated factor effects 
Additional Tests and 
Experiments Additional tests or experiments designed to understand the current situation and determine the root cause
21 
ROOT CAUSE ANALYSIS TOOLS 
DATA COLLECTION PLAN 
Data Collection Plan 
Define What to Measure 
Define How to Measure 
Who will 
Sample Plan 
Do it? 
Type of 
Operational 
Measurement 
Data Tags 
Needed 
Data 
Collection 
Person(s) 
What? 
Where? 
When? 
How 
Many? 
Measure 
Measure 
Definition 
or Test 
Method 
to Stratify the 
Data 
Method 
Assigned 
Name of X or Y Clear definition of Visual Data tags are Manual? State What Location How 
The 
number 
parameter attribute or 
the 
measurement inspection defined for the Spreadsheet? who has measure is for often of data 
or condition discrete defined in such a or automated measure. Such 
Computer 
based? the being data the points 
to be data, 
way as to 
achieve test? as: time, date, etc. responsibility? collected collection data collected 
measured product or 
repeatable 
results 
Test 
instruments location, tester, is per sample 
process from multiple are defined. line, customer, collected 
data observers buyer, operator, 
Procedures for etc. 
data collection 
are defined.
22 
ROOT CAUSE ANALYSIS TOOLS 
Data Collection Purpose 
We are collecting data to give us a statistical understanding of our ability to pay invoices in accordance with the 
performance standards of +/- 5 days from the net terms invoice due date 
What to Measure (output measure(s) and segmentation factors) 
Measure 
Name 
Measure 
Type (Y, X) 
How to Measure 
Data Type 
(Discrete/ 
Continuous) 
Sampling Plan (Scheme, Frequency, Size) 
COPIS 
Location 
(O,P,I) 
Operational Definition 
Timeliness Y Continuous O The timeframe between invoice receipt date (compliant) 
and payment date vs. non compliant invoices 
Collect sample invoices during a week’s period which we believe to be a fair representation of the US payables flow . 
We captured all payables during this period and sample size is #of invoices.
23 
ROOT CAUSE ANALYSIS TOOLS 
Xs & Ys 
Measure Relationships 
Responses or Outputs (Ys) 
Factors (Xs) 
Dependent Variable USL LSL Target Independent Variable(s) USL LSL Target
24 
ROOT CAUSE ANALYSIS TOOLS 
ROUTE CAUSE ANALYSIS TIMELINE 
Project Name: Start Date: 2014-08-01 
Use lines and or color bars to indicate start and stop dates for each activity 
Phase: Activity Start Date End Date Assigned to: 2014-08-01 2014-08-02 2014-08-03 2014-08-04 2014-08-05 2014-08-06 
1. Define and 
Contain the 
Problem 
2. Measure the 
Problem 
3. Perform 
Root Cause 
Analysis 
4. Plan and 
Implement 
Improvement 
5. Assess 
Effectiveness of 
Improvement 
6. Standardize 
and Control 
7. Realize and 
Reflect
25 
ROOT CAUSE ANALYSIS TOOLS 
DPMO CALCULATOR 
DPMO Calculator 
This template calculates the DPMO using the number of defects. 
Total number of units: 2500 
Number of defects: 4 
Opportunities for Error in one unit: 20 
DPMO = 80 
Not sure of what goes into the units? 
The Data Processing Dept supervisor wants to calculate the DPMO of data entry errors in her dept. 
A total of 2,500 forms were processed that day, and the supervisor finds 4 fields with error. 
There are 20 entry fields on each data entry form. 
For this scenario: 
Total number of units = 2,500 
Number of defects = 4 
Opportunities for error in one unit = 20
26 
ROOT CAUSE ANALYSIS TOOLS 
MEASUREMENT SYSTEM ANALYSIS 
u In order to measure our project, we will be utilizing the 
following methods: 
ü FMEA 
ü Pareto Charts 
ü Customized reports/Spreadsheets (pre-Six Sigma 
process actuals - vs. Post-process actuals 
annualized) 
u The measuring journey is continuous in order to 
guarantee success. Over time, customers change, 
processes change, people change, suppliers 
change.
27 
ROOT CAUSE ANALYSIS TOOLS 
FMEA INFORMATION SHEET 
Potential Failure Modes and 
Effects Analysis (Information 
Sheet) 
PFMEA Number: 
Process Name: 
Process 
Responsibility: 
Prepared By: 
Affected Product(s): 
PFMEA Key Date: 
PFMEA Origination 
Date: 
PFMEA Revision Date: 
Core Team Members:
28 
ROOT CAUSE ANALYSIS TOOLS 
PROCESS/ PRODUCT FMEA 
Process Step 
What is the 
process step 
Key process Input 
What us the 
key process 
input 
Potential failure mode 
What is the 
impact on the 
Key Output 
Variables 
(Customer 
Requirements) 
or internal 
requirements? 
SEV 
How Severe is 
the effect to 
the cusotmer? 
Potential Causes 
What causes 
the Key Input 
to go wrong? 
OCC 
How often 
does cause or 
FM occur? 
Current Controls 
What are the 
existing 
controls and 
procedures 
(inspection and 
test) that 
prevent eith 
the cause or 
the Failure 
Mode? Should 
include an 
SOP number.
29 
ROOT CAUSE ANALYSIS TOOLS 
F SEVERITY 
Effect Criteria: Severity of Effect Defined Ranking 
Hazardous: 
May endanger operator. Failure mode affects safe vehicle operation and / or involves noncompliance 
Without Warning 
WITHOUT 10 
with government regulation. Failure will occur warning. 
Hazardous: With 
Warning 
May endanger operator. Failure mode affects safe vehicle operation and / or involves noncompliance 
with government regulation. Failure will occur WITH warning. 
9 
Very High Major disruption to production line. 100% of product may have to be scrapped. Vehicle / item 
inoperable, loss of primary function. Customer very dissatisfied. 
8 
High Minor disruption to production line. Product may have to be sorted and a portion (less than 100%) 
scrapped. Vehicle operable, but at a reduced level of performance. Customer dissatisfied. 
7 
Moderate 
Minor disruption to production line. A portion (less than 100%) may have to be scrapped (no sorting). 
Vehicle / item operable, but some comfort / convenience item(s) inoperable. Customers experience 
discomfort. 
6 
Low Minor disruption to business. 100% of transactions may have to be reworked. 5 
Very Low Minor disruption to business. Defect noticed by most users 4 
Minor Minor disruption to business . A portion (less than 100%) of the transactions may have to be reworked 
Defect noticed by some users 
3 
Very Minor Minor disruption to business. A portion (less than 100%) of the may have to be reworked 2 
None No effect. 1
30 
ROOT CAUSE ANALYSIS TOOLS 
F OCCURANCE 
Probability of Failure Possible Failure Rates Cpk Ranking 
Very High: ≥ 1 in 2 
< 0.33 10 
Failure is almost inevitable 1 in 3 ≥ 0.33 
9 
High: Generally associated with 
processes similar to previous 1 in 8 ≥ 0.51 
8 
processes that have often failed 1 in 20 ≥ 0.67 
7 
Moderate: Generally associated with 
processes similar to 1 in 80 ≥ 0.83 
6 
previous processes which have 1 in 400 ≥ 1.00 
5 
experienced occasional failures, but not 
in major proportions 1 in 2,000 ≥ 1.17 
4 
Low: Isolated failures associated with 
similar processes 1 in 15,000 ≥ 1.33 
3 
Very Low: Only isolated failures 
associated with almost identical 
processes 
1 in 150,000 ≥ 1.5 
2 
Remote: Failure is unlikely. No failures 
ever associated with almost identical 
processes 
≤ 1 in 1,500,000 
≥ 1.67 
1
31 
ROOT CAUSE ANALYSIS TOOLS 
F DETECTION 
Detection Criteria: Liklihood the existence of a defect will be detected by test 
content before product advances to next or subsequent process 
Ranking 
Almost Impossible Test content detects < 80 % of failures 
10 
Very Remote Test content must detect 80 % of failures 
9 
Remote Test content must detect 82.5 % of failures 
8 
Very Low Test content must detect 85 % of failures 
7 
Low Test content must detect 87.5 % of failures 
6 
Moderate Test content must detect 90 % of failures 
5 
Moderately High Test content must detect 92.5 % of failures 
4 
High Test content must detect 95 % of failures 
3 
Very High Test content must detect 97.5 % of failures 
2 
Almost Certain Test content must detect 99.5 % of failures 
1
32 
ROOT CAUSE ANALYSIS TOOLS 
Process Control Plan 
The control phase will consist of the 
deployment of a process to permanently 
sample and take actions regarding the 
current process DPMO metrics. 
Develop a process to monitor a couple 
of pre-defined output variables on a 
regular basis.
2014 
2014-09-04 
INNOVATION CENTRIC GROUP 
33

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Root cause analysis by: ICG Team

  • 1. 2014 2014-09-04 INNOVATION CENTRIC GROUP 1 ROOT CAUSE ANALYSIS
  • 2. 2 What is a Root Cause Analysis? Is an approach for identifying the underlying causes of why an incident occurred so that the most effective solutions can be identified and implemented. It's typically used when something goes badly, but can also be used when something goes well. Within an organization, problem solving, incident investigation and root cause analysis are all fundamentally connected by three basic questions: What's the problem? Why did it happen? What will be done to prevent it?
  • 3. 3 Root Cause Analysis Basis Above de surface “Obvious” Symptom of “The Weed” the problem Bellow the surface “Not Obvious” Underlying “The Root” Causes
  • 4. 4 Cause Mapping Method of Root Cause Analysis In the Cause Mapping method, the word root, in root cause analysis refers to the causes that are beneath the surface. Most organizations mistakenly use the term "root cause" to identify the one, main cause. Focusing on a single cause can limit the solutions set resulting in better solutions being missed. A Cause Map provides a simple visual explanation of all the causes that were required to produce the incident. The root is the system of causes that reveals all of the different options for solutions.
  • 5. 5 Cause Mapping Method of 3 Basic Steps Define / GOALS Analyze / CAUSES Prevent / SOLUTIONS Define the issue by its impact to overall goals Analyze the causes in a visual map Prevent or mitigate any negative impact to the goals by selecting the most effective solutions.
  • 6. 6 Root Causes Phases 1 • Define the Problem. • Define process defect (CTQ) NAL resources to participate in this activity (see ICG six sigma presentation) 2 • Measure the Problem 3 • Root Cause analysis (5 Why's, fishbone tools) / Run monthly reports / Review individual transactions. Review JE back up/ Quantify issues (type) resulting in J/E's (process defect). Incorrect coding, wrong AFE, Wrong CC, incorrect accounting month. / Rationalize data by : vendor, Originator, Issue type 4 • Plan and develop plan/process to communicate defects to NAL internal resources. Training, compliance, vendor performance, etc. 5 • Effectiveness of measure future state against initial process baseline. Repeat step 3 Improvement 6 • Develop communication plan, internal policies and procedures inclusive of training and Control Monitor/ongoing measure ongoing process step 3, 4, 5
  • 7. USL Target Operational Definition # Defect 7 ROOT CAUSE ANALYSIS TOOLS CTQ Performance Standards Output Project Y (Little y ) Measure Characteristic To Big Y CTQ Performance Characteristics LSL How Process Will Be Measured Defect Project Y Metric – Continuous Data Opp per Unit Timeliness The amount of time between receipt off invoice and/ or terms due date and payment The number of days between invoice matching and check payment - 5 days + 5 days 5 days Any Invoice beyond the USL and LSD 1
  • 8. 8 ROOT CAUSE ANALYSIS TOOLS DMAIC Process Characterization Define Measure Analyze Process Optimization Improve Control Executive management Champions Master Black Belts Black Belt Team Team Team Black Belt Team Team Black Belt Team Team
  • 9. 9 The DMAIC process Define Control Analyze Measure Improve
  • 10. Define “as is” and “to be” opportunity for project. Measure current process performance. Analyze the problem to find out root causes. Improve… Identify potential solutions and begin to implement them. Control the performance to continue to achieve higher results. 10 Improvement Process: DMAIC
  • 11. 11 How do we do it? What makes DMAIC unique is that it focuses on eliminating problems by looking at the processes that create them, not on assigning blame to people or functions. DMAIC helps us research and analyze our processes, which then leads us to more effective and permanent solutions.
  • 12. Define Control Analyze Measure Improve 12 The DMAIC process
  • 13. 13 The DMAIC process • Deliverable: • Identify Customer(s)and project *CTQ’s (Critical to Quality) A. Identify Project CTQs • Deliverables: • Develop business case • Develop the Problem and Goal statements • Determine the project scope • Select team and define Roles • Set project milestones B. Develop Team Charter • Deliverable: • High level process map C. Define process map Define Phase
  • 14. 14 The DMAIC process • Deliverable: • Identify Measurable CTQ that will be improved A. Select CTQ Characteristics • Deliverables: • Determine and confirm Specification limits for your Y B. Define performance standards • Deliverable: • Measurement system adequate to measure Y C. Establish data collection plan, validate measurement System and collect data Tools: QFD Process Mapping FMEA Pareto Cause and Effect Diagram Tools: Continuous Gage R&R Test/Retest Attribute Gage R&R Measure Phase
  • 15. 15 The DMAIC process • Deliverable: • Baseline Current Project A. Establish Process Capability • Deliverables: • Statistically Define the goal of the Project B. Define performance objectives • Deliverable: • List of statistically Significant Xs, Chosen based on Analysis of Historical Data C. Identify Variation Sources Tools: Basic Statistics Graphical Analysis Sampling Continuous Zst, Zit Normality Discrete Zst, Zit Tools: Benchmarking Tools: Process Analysis Graphical Analysis Hypothesis Testing Regression Analysis GLM Analyze Phase
  • 16. 16 The DMAIC process • Deliverable: • Determine the Vital few Xs that are causing changes in Y A. Screen potential causes • Deliverables: • Develop business case • Develop the Problem and Goal statements • Determine the project scope • Select team and define Roles • Set project milestones B. Develop Team Charter • Deliverable: • High level process map C. Define process map Improve Phase
  • 17. 17 The DMAIC process • Deliverable:" • Identify Customer(s)and project CTQ’s" A. Identify Project CTQs " • Deliverables:" • Develop business case" • Develop the Problem and Goal statements" • Determine the project scope" • Select team and define Roles" • Set project milestones" B. Develop Team Charter" • Deliverable:" • High level process map" C. Define process map" Control Phase
  • 18. 18 ROOT CAUSE ANALYSIS TOOLS PROJECT ACTION PLAN Monthly Action Plan Initiative: Process Owner Date What How Who When Deliverables (Action to Take) (Action Steps) (Accountable) Start Finish
  • 19. Why can’t we pay bills on time Measurement Methods System *Cycle time too long before receipt of approved bill for payment. *Lack of standardized process/ procedures. *Bills are not being sent to a central location. *Approval hierarchy not established/ define *Inaccurate terms date in the system. *Poor understanding of current system capabilities. Accounts Payable | Payment Process * Deals being made outside of vendor NET terms. * Holding on to bills too long. *Net vendor terms impossible to meet *No POD’s being sent consistent. Mother Nature People Materials 19 ROOT CAUSE ANALYSIS TOOLS FISHBONE
  • 20. 20 ROOT CAUSE ANALYSIS TOOLS BRAINSTORM Brainstorm Potential Root Causes Problem Statement: Rank Potential Root Cause Supporting Data & Analysis?* Source? Who? When? *Common types of data and analysis Analysis description: Detailed Process Review Careful walkthrough of the process step by step to determine the source, nature and frequency of the problem Process Mapping Detailed process flow analysis to understand all the steps of the process, how the problem occurs and to document the process flow Visual Analysis Visual examination of the problem and visual documentation such as digital photos and videos Cause and Effect (Event) Analysis Examination of the potential relationship of factors and or event conditions on the problem Data Collection and Analysis Measurement of performance from the product or process and an analysis of current data and associated factor effects Additional Tests and Experiments Additional tests or experiments designed to understand the current situation and determine the root cause
  • 21. 21 ROOT CAUSE ANALYSIS TOOLS DATA COLLECTION PLAN Data Collection Plan Define What to Measure Define How to Measure Who will Sample Plan Do it? Type of Operational Measurement Data Tags Needed Data Collection Person(s) What? Where? When? How Many? Measure Measure Definition or Test Method to Stratify the Data Method Assigned Name of X or Y Clear definition of Visual Data tags are Manual? State What Location How The number parameter attribute or the measurement inspection defined for the Spreadsheet? who has measure is for often of data or condition discrete defined in such a or automated measure. Such Computer based? the being data the points to be data, way as to achieve test? as: time, date, etc. responsibility? collected collection data collected measured product or repeatable results Test instruments location, tester, is per sample process from multiple are defined. line, customer, collected data observers buyer, operator, Procedures for etc. data collection are defined.
  • 22. 22 ROOT CAUSE ANALYSIS TOOLS Data Collection Purpose We are collecting data to give us a statistical understanding of our ability to pay invoices in accordance with the performance standards of +/- 5 days from the net terms invoice due date What to Measure (output measure(s) and segmentation factors) Measure Name Measure Type (Y, X) How to Measure Data Type (Discrete/ Continuous) Sampling Plan (Scheme, Frequency, Size) COPIS Location (O,P,I) Operational Definition Timeliness Y Continuous O The timeframe between invoice receipt date (compliant) and payment date vs. non compliant invoices Collect sample invoices during a week’s period which we believe to be a fair representation of the US payables flow . We captured all payables during this period and sample size is #of invoices.
  • 23. 23 ROOT CAUSE ANALYSIS TOOLS Xs & Ys Measure Relationships Responses or Outputs (Ys) Factors (Xs) Dependent Variable USL LSL Target Independent Variable(s) USL LSL Target
  • 24. 24 ROOT CAUSE ANALYSIS TOOLS ROUTE CAUSE ANALYSIS TIMELINE Project Name: Start Date: 2014-08-01 Use lines and or color bars to indicate start and stop dates for each activity Phase: Activity Start Date End Date Assigned to: 2014-08-01 2014-08-02 2014-08-03 2014-08-04 2014-08-05 2014-08-06 1. Define and Contain the Problem 2. Measure the Problem 3. Perform Root Cause Analysis 4. Plan and Implement Improvement 5. Assess Effectiveness of Improvement 6. Standardize and Control 7. Realize and Reflect
  • 25. 25 ROOT CAUSE ANALYSIS TOOLS DPMO CALCULATOR DPMO Calculator This template calculates the DPMO using the number of defects. Total number of units: 2500 Number of defects: 4 Opportunities for Error in one unit: 20 DPMO = 80 Not sure of what goes into the units? The Data Processing Dept supervisor wants to calculate the DPMO of data entry errors in her dept. A total of 2,500 forms were processed that day, and the supervisor finds 4 fields with error. There are 20 entry fields on each data entry form. For this scenario: Total number of units = 2,500 Number of defects = 4 Opportunities for error in one unit = 20
  • 26. 26 ROOT CAUSE ANALYSIS TOOLS MEASUREMENT SYSTEM ANALYSIS u In order to measure our project, we will be utilizing the following methods: ü FMEA ü Pareto Charts ü Customized reports/Spreadsheets (pre-Six Sigma process actuals - vs. Post-process actuals annualized) u The measuring journey is continuous in order to guarantee success. Over time, customers change, processes change, people change, suppliers change.
  • 27. 27 ROOT CAUSE ANALYSIS TOOLS FMEA INFORMATION SHEET Potential Failure Modes and Effects Analysis (Information Sheet) PFMEA Number: Process Name: Process Responsibility: Prepared By: Affected Product(s): PFMEA Key Date: PFMEA Origination Date: PFMEA Revision Date: Core Team Members:
  • 28. 28 ROOT CAUSE ANALYSIS TOOLS PROCESS/ PRODUCT FMEA Process Step What is the process step Key process Input What us the key process input Potential failure mode What is the impact on the Key Output Variables (Customer Requirements) or internal requirements? SEV How Severe is the effect to the cusotmer? Potential Causes What causes the Key Input to go wrong? OCC How often does cause or FM occur? Current Controls What are the existing controls and procedures (inspection and test) that prevent eith the cause or the Failure Mode? Should include an SOP number.
  • 29. 29 ROOT CAUSE ANALYSIS TOOLS F SEVERITY Effect Criteria: Severity of Effect Defined Ranking Hazardous: May endanger operator. Failure mode affects safe vehicle operation and / or involves noncompliance Without Warning WITHOUT 10 with government regulation. Failure will occur warning. Hazardous: With Warning May endanger operator. Failure mode affects safe vehicle operation and / or involves noncompliance with government regulation. Failure will occur WITH warning. 9 Very High Major disruption to production line. 100% of product may have to be scrapped. Vehicle / item inoperable, loss of primary function. Customer very dissatisfied. 8 High Minor disruption to production line. Product may have to be sorted and a portion (less than 100%) scrapped. Vehicle operable, but at a reduced level of performance. Customer dissatisfied. 7 Moderate Minor disruption to production line. A portion (less than 100%) may have to be scrapped (no sorting). Vehicle / item operable, but some comfort / convenience item(s) inoperable. Customers experience discomfort. 6 Low Minor disruption to business. 100% of transactions may have to be reworked. 5 Very Low Minor disruption to business. Defect noticed by most users 4 Minor Minor disruption to business . A portion (less than 100%) of the transactions may have to be reworked Defect noticed by some users 3 Very Minor Minor disruption to business. A portion (less than 100%) of the may have to be reworked 2 None No effect. 1
  • 30. 30 ROOT CAUSE ANALYSIS TOOLS F OCCURANCE Probability of Failure Possible Failure Rates Cpk Ranking Very High: ≥ 1 in 2 < 0.33 10 Failure is almost inevitable 1 in 3 ≥ 0.33 9 High: Generally associated with processes similar to previous 1 in 8 ≥ 0.51 8 processes that have often failed 1 in 20 ≥ 0.67 7 Moderate: Generally associated with processes similar to 1 in 80 ≥ 0.83 6 previous processes which have 1 in 400 ≥ 1.00 5 experienced occasional failures, but not in major proportions 1 in 2,000 ≥ 1.17 4 Low: Isolated failures associated with similar processes 1 in 15,000 ≥ 1.33 3 Very Low: Only isolated failures associated with almost identical processes 1 in 150,000 ≥ 1.5 2 Remote: Failure is unlikely. No failures ever associated with almost identical processes ≤ 1 in 1,500,000 ≥ 1.67 1
  • 31. 31 ROOT CAUSE ANALYSIS TOOLS F DETECTION Detection Criteria: Liklihood the existence of a defect will be detected by test content before product advances to next or subsequent process Ranking Almost Impossible Test content detects < 80 % of failures 10 Very Remote Test content must detect 80 % of failures 9 Remote Test content must detect 82.5 % of failures 8 Very Low Test content must detect 85 % of failures 7 Low Test content must detect 87.5 % of failures 6 Moderate Test content must detect 90 % of failures 5 Moderately High Test content must detect 92.5 % of failures 4 High Test content must detect 95 % of failures 3 Very High Test content must detect 97.5 % of failures 2 Almost Certain Test content must detect 99.5 % of failures 1
  • 32. 32 ROOT CAUSE ANALYSIS TOOLS Process Control Plan The control phase will consist of the deployment of a process to permanently sample and take actions regarding the current process DPMO metrics. Develop a process to monitor a couple of pre-defined output variables on a regular basis.
  • 33. 2014 2014-09-04 INNOVATION CENTRIC GROUP 33