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Basic 8D Problem Solving:
Tools & Methods
A.R. Alvarez
ARA TRAINING
ARA (Dec 2015)- Š 2015 -
ARA TRAINING
Basic Problem Solving
ARA (Dec 15)- Š 2015 - 2
ARA TRAINING
Problem Solving Outline
īŽ Part 1: Overview of Methods (Plan)
īŽ Problem Solving Principles
īŽ Contrasting Different Approaches
īŽ PDCA / 4D & 8D Framework
īŽ D1 – D2: Form Team & Define Problem
īŽ Part 2: Step-By-Step Problem Solving (Do)
īŽ D3: Implement Containment
īŽ D4: Identify Possible Root Causes
īŽ D5: Identify Root Cause Corrective Actions
īŽ Part 3: Problem Solving Wrap-Up (Check & Act)
īŽ D6 – D8: Verify Corrective Actions, Prevent Recurrence,
Document Results & Recognize Team
īŽ Appendix
Basic Problem Solving
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Methods For Problem Solving ?
Basic Problem Solving
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No One Way to Problem Solving
Success
But Some Are Better Than Others
Good Ones Have Many Common
Elements
Basic Problem Solving
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Integrate Different Perspective
Data
Driven
Knowledge
Driven
Question
Driven
Integrate
Basic Problem Solving
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Utilize Simple Tools
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Ask & Answer Simple Questions
īŽ What is The Problem?
īŽ Why is it a Problem?
īŽ What Are The Goals?
īŽ How Long Will it Take to Solve?
īŽ How Much Will it Cost to Solve?
Get Tracked & Managed Like a Project
Basic Problem Solving
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Avoid Artificial Constraints
īŽ Constraints Will Always Exist
īŽ Real Constraints Need to Be Respected, But Also
Challenged
īŽ Where Can Constraints Appear During Problem
Solving?
īŽ How Do You Become Aware & Overcome Constraints?
Sub-Conscious Assumed Very Real
Constraints
Basic Problem Solving
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Fit Method to Problem
Different Problems May Require Different
Approaches
Use as Simple an Approach as Possible
Be
Adaptive
Basic Problem Solving
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PDCA: Problem Solving
Plan
(Define Problem, Pick Factors, â€Ļ)
Do
(Design / Execute Experiments)
Check
(Analysis / Implementation / Verification)
Act
(Make Conclusion, Define Next Step)
Basic Problem Solving
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FOCUS Problem Solving Method
īŽ Find the Problem (Often the Problem Finds You)
īŽ Organize a Team
īŽ Clarify Problem
īŽ Understand Problem
īŽ Select Solution
How is It Similar? How Different? How Complete?
http://www.mindtools.com/pages/article/focus-model.htm?utm_source=nl&utm_medium=email&utm_campaign=13May14#np
Basic Problem Solving
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Kepner - Tregoe
1. Define the Problem (Situation Appraisal)
2. Describe the Problem (Problem Analysis)
3. Establish Possible Causes (Decision Analysis)
4. Test the Most Probable Cause (Potential
Problem Analysis)
5. Verify the True Cause
How is It Similar? How Different? How Complete?
itSM Solutions “Thinking About Problems: Kepner-Tregoe” May 2015
Basic Problem Solving
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Edmond’s Creative Problem Solving
Step 1 - Curious Observation
Step 2 - Is There a Problem?
Step 3 - Goals & Planning
Step 4 - Search, Explore, & Gather the Evidence
Step 5 - Generate Creative & Logical Solutions
Step 6 - Evaluate the Evidence
Step 7 - Make the Educated Guess (Hypothesis)
Step 8 - Challenge the Hypothesis
Step 9 - Reach a Conclusion
Step 10 - Suspend Judgment
Step 11 - Take Action
How is It Similar? How Different? How Complete?
http://www.problemsolving.net/ps9-3of4-fullproblem.html
Template in
Appendix
Basic Problem Solving
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Problem Solving Concept Map
How is It Similar?
How Different?
How Complete?
http://www.studygs.net/problem/problemsolvingo.htm
Basic Problem Solving
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Consensus-Oriented Decision-Making
The CODM model was developed by psychologist, Dr. Tim Hartnett, and it was published his 2010 book
Consensus-Oriented Decision-Making
Consensus-Oriented Problem Solving??
īŽ Frame The Problem
īŽ Have an Open Discussion
īŽ Identify Underlying Concerns
īŽ Develop Proposals
īŽ Choose Direction
īŽ Develop Preferred Solution
īŽ Close
How is It Similar? How Different? How Complete?
http://www.mindtools.com/pages/article/codm.htm?utm_source=nl&utm_medium=email&utm_campaign=13May14#np
Basic Problem Solving
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(4)
Identify
Possible Root
Causes
(3)
Implement
Containment
(2)
Define
Problem
(1)
Form Team
(7)
Prevent
Recurrence
(8)
Document
Results &
Recognize
Team
(5)
Identify Root
Cause Corrective
Actions
(6)
Verify
Corrective
Actions
8D
Process
8D Problem Solving Method
Adapted From “The 8 Discipline Problem
Solving Process, Brenda Roos)
Basic Problem Solving
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8D Problem Solving Method
īŽ Problem Solving Methodology That:
īŽ Clearly Defines a Problem
īŽ Allows for Appropriate Interim Containment Action
īŽ Analyzes Problems Using Data & Basic Statistical Tools
īŽ Drives to Find The Root Cause of The Problem
īŽ Corrects The Problem By Eliminating The Root Cause
īŽ Implements Mistake Proofing to Prevent Reoccurrence
īŽ Uses “Lessons Learned” Concepts as Prevention Step
Don’t Limit 8D’s Use to Just Customer Related
“Quality” Problems
It Doesn’t Need to Be 8D, 4D is Fine in Many Situations
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8D Project Overview Template
Business Impact
Revenue $10M
Customer
Relationship
Medium
Organization High
D1 D2 D3 D4 D5 D6 D7 D8
At D1 3/13/13 3/13/13 3/16/13 3/18/13 3/19/13 3/20/13 3/22/13 3/24/13
Previous
Review
3/13/13 3/13/13 3/16/13 3/23/13 3/24/12 3/25/13 3/26/13 3/27/13
Current
Plan
3/13/13 3/13/13 3/17/13 3/23/13 3/25/13 3/25/13 3/26/13 3/27/13
Key Requirements
Eliminate Customer Line Fallout
No Change in Any Product Spec
< 3% Increase in Product Cost
< 10% Increase in Step Mfg Cycle Time
Problem Definition
Performance
Gap:
Actual =
Target =
Customer
Line Fallout
1,000 PPM
< 10 PPM
Time in
Existence
90 Days
Time to Solve < 7 Days
Product/Service Touch Sensor
Customer Apple
Organizations PE, TE, Mkt
Priority (1 – 5) 4
Team Lead Isabel
Team KY, TA, KG, ..
Problem Complexity
Type (L,M,H) Medium
COL Budget
(Fcst/Actual)
4
Time Per
Cycle
24 Hrs
Containment Impact
Customer: None
Manufacturer: 5% Yield Loss ($0.50)
Mfg: 20% Capacity Reduction (1Mu/Mth)
Mfg: 10% Increased Cycle Time (6 Hrs)
Root Cause / Corrective Action
RC Hypothesis/Confirmed: Test Hole at X
CA Status: In Progress
Note: Add Any Key Customer Delivery Dates / Description Above if Different From Dx
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4D Project Overview Template
Business Impact
Revenue $10M
Customer
Relationship
Medium
Organization High
Plan Containment
Root Cause
Identified
Root Cause CA
Implemented
At D1 3/13/13 3/13/13 3/16/13 3/18/13
Previous Review 3/13/13 3/13/13 3/16/13 3/23/13
Current
Plan
3/13/13 3/13/13 3/17/13 3/23/13
Key Requirements
Eliminate Customer Line Fallout
No Change in Any Product Spec
< 3% Increase in Product Cost
< 10% Increase in Step Mfg Cycle Time
Problem Definition
Performance
Gap:
Actual =
Target =
Customer
Line Fallout
1,000 PPM
< 10 PPM
Time in
Existence
90 Days
Time to Solve < 7 Days
Product/Service Touch Sensor
Customer Apple
Organizations PE, TE, Mkt
Priority (1 – 5) 4
Team Lead Isabel
Team KY, TA, KG, ..
Problem Complexity
Type (L,M,H) Medium
COL Budget
(Fcst/Actual)
4
Time Per
Cycle
24 Hrs
Containment Impact
Customer: None
Manufacturer: 5% Yield Loss ($0.50)
Mfg: 20% Capacity Reduction (1Mu/Mth)
Mfg: 10% Increased Cycle Time (6 Hrs)
Root Cause / Corrective Action
RC Hypothesis/Confirmed: Test Hole at X
CA Status: In Progress
Note: Add Any Key Customer Delivery Dates / Description Above if Different From Above
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Best Practices in Problem Solving
(Don’t Over-Complicate)
īŽ Clear, Concise Problem Definition
īŽ Starts With Broad Perspective
īŽ Gets Alignment Across Organizations
īŽ Breaks Down Problem
īŽ Questions Data, Knowledge Base, Assumptions
īŽ Critically Focuses Data
īŽ Eliminates Artificial Constraints
īŽ Drives Convergence & Critical Path
īŽ Is Self-Correcting
īŽ Balances Planning & Doing
īŽ Balances Root Cause Fix & Containment
īŽ Is Properly Tracked & Progress Communicated
īŽ Appropriately Documented
Describe Problem
(With Data)
Propose
Hypotheses
Test Hypotheses
(With Data)
Implement
Appropriate Fix
Basic Problem Solving
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Pick Your Problems: Pareto Analysis
īŽ Vital Few, Trivial Many
īŽ Many Things Need Improvement
īŽ Where To Start?
īŽ Cooperation
īŽ Communication
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Basic Problem Solving
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PDCA: Problem Solving
Plan
(Define Problem, Pick Factors, â€Ļ)
Do
(Design / Execute Experiments)
Check
(Analysis / Implementation / Verification)
Act
(Make Conclusion, Define Next Step)
Basic Problem Solving
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(3)
Implement
Containment
(2)
Define
Problem
(1)
Form Team
(5)
Identify Root
Cause Corrective
Actions
8D
Process
8D Problem Solving Method
(4)
Identify
Possible Root
Causes
(6)
Verify
Corrective
Actions
(7)
Prevent
Recurrence
(8)
Document
Results &
Recognize
Team
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I. Form Team
īŽ Who Should Be on the Team?
īŽ Start Small, Grow Team as Problem Definition (D2)
Evolves
īŽ Team Leader
īŽ Team Members (Cross-Functional?)
īŽ Roles & Responsibilities
īŽ “Rapid” Decision Making Process
(Recommend, Agree, Performs, Input, Decides)
īŽ How to Determine Priority?
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(3)
Implement
Containment
(2)
Define
Problem
(1)
Form Team
(5)
Identify Root
Cause Corrective
Actions
8D
Process
8D Problem Solving Method
(4)
Identify
Possible Root
Causes
(6)
Verify
Corrective
Actions
(7)
Prevent
Recurrence
(8)
Document
Results &
Recognize
Team
Basic Problem Solving
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II. Problem Definition
īŽ Arguably The Most Important Step in the Process
īŽ But The One Most Often Done Poorly
īŽ Insure That Problem (& Size) is Real – Don’t Assume!
īŽ Problem Definition Elements:
īŽ Products or Service Impacted
īŽ Quantified Performance Gap (Scope): Current vs. Target
īŽ Temporal: 1) Time in Existence, 2) Time to Solve
īŽ Quantified Impact: Both Company and Customer
īŽ Priority (Dollarizing Extent of Problem Helps Set Priority)
īŽ Specify Both Financial and Non-Financial Impact
īŽ Specify Not Just Desired Outcome, But Also By When
īŽ Modify Team as Necessary
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īŽ Crises:
īŽ Fast Action, Big Differences
īŽ Simple Experiments
īŽ Development/Yield Enhancement
īŽ More Time, Smaller Differences, Cause & Effect
īŽ 2 Level Factorials, Blocked Designs
īŽ Discovery
īŽ Longer Time, Complete Knowledge
īŽ Response Surface, Steepest Ascent
Problem Landscape: Urgency
D. Welter, Motorola
U
R
G
E
N
C
Y
Basic Problem Solving
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Problem Landscape: Assumptions
īŽ Assumptions Guide Behavior, Affect Thinking and
Therefore Problem Solving
īŽ Broad Categories: Casual, Prescriptive & Paradigmatic
īŽ You Can’t Help But Make Assumptions; Dig Deep
Enough & You’ll Always Hit an Assumption
īŽ Implicit or Hidden Assumptions Abound
īŽ Some are Good, Even Necessary; Some Not So Good
īŽ How to Uncover Assumptions?
īŽ How to Differentiate “Good” vs. “Bad” Assumptions?
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Problem Landscape: Data
īŽ What Data Do You Need at This Stage?
īŽ What Do You Really Know? (Fact, Not Speculation)
īŽ How Much Data Do You Need?
īŽ How are You Going to Get It?
īŽ How Long is It Going to Take You to Get It?
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Initial Data Gathering
IS
īŽ What It is:
īŽ When It is:
īŽ Where It is:
IS NOT
īŽ What It is Not:
īŽ When It is Not:
īŽ Where It is Not:
3 Ws: First Order What, When, Where
Basic Problem Solving
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Initial Data Gathering
Possible Actions & Questions
īŽ 5 Whys ( = How )
(Used Both in Problem Definition & Subsequent Steps)
īŽ Extent ?
īŽ How ?
īŽ Does it Interact ?
īŽ “Solved” Before ?
īŽ What Can Be Done to Clarify Problem?
īŽ Preliminary Hypothesis Driven?
īŽ Who Can Help?
īŽ . . .
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Expanded Data Gathering
IS
Who
ī‚§ Who is affected by the problem?
ī‚§ Who first observed the problem?
ī‚§ To whom was the problem reported?
What
ī‚§ What type of problem is it?
ī‚§ What has the problem (part id, lot #s, etc)?
ī‚§ What is happening with the process?
ī‚§ What changed?
ī‚§ Do we have physical evidence of problem?
Why
ī‚§ Why is this a problem?
ī‚§ Is the process stable (Or Unstable)?
IS NOT
Who
ī‚§ Who is not affected by the problem?
ī‚§ Who did not find the problem?
What
ī‚§ What does not have the problem?
ī‚§ What could be happening but is not?
ī‚§ What could be the problem but is not?
Why
ī‚§ Why is it not a problem?
After ABB 8D Worksheet
5 Ws . . . and . . . 2 Hs
(Who, What, Why, Where, When) (How Many, How Often)
Basic Problem Solving
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Initial Data Gathering: Expanded
IS
Where
ī‚§ Where was the problem observed?
ī‚§ Where does the problem occur?
When
ī‚§ When was the problem first noticed?
ī‚§ When has it been noticed since?
How Much/ Many
ī‚§ How well can problem be measured (gauge)?
ī‚§ Quantity of problem (ppm)?
ī‚§ How much is it costing dollars, people, & time?
How Often
ī‚§ What is the trend (continuous, random,
cyclical)?
ī‚§ Has the problem occurred previously?
IS NOT
Where
ī‚§ Where is the problem not observed?
ī‚§ Where is the problem not located?
When
ī‚§ When could the problem have been
noticed but was not?
How Much/ Many
ī‚§ How big could the problem be but is not?
How Often
ī‚§ What could the trend be but is not?
ī‚§ Why hasn’t the problem been seen
before?
Basic Problem Solving
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Initial Data Gathering
Data Sources & Analysis Tools
īŽ Data Sources:
īŽ SPC Charts
īŽ Historical (Typically Unstructured) Data Tables
īŽ . . .
īŽ Analysis Tools:
īŽ Simple (Or Even Multivariate) Correlation Analysis
īŽ Multi-Vari Charts
īŽ Distribution Analysis and Box Plots
īŽ . . .
Basic Problem Solving
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Something Change . . . Or . . .
“Never Been There” Performance Gap?
“Never Been There”
Time
Desired
Actual
“Something Changed”
Gradual
Change
Performance
Level
Time
Target
Actual
Abrupt
Change
Time
Performance
Level
Target
Actual
Performance
Level
Basic Problem Solving
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Multi-Vari Chart
īŽ Variation is Composed of Levels; One Level Typically
Contains Most of Variation
īŽ What Are Levels of Variation?
â€ĸDie, Wafer, Lot
â€ĸWafer, Run, Shift
â€ĸFurnace, Bank, Fab
â€ĸTester
â€ĸShift
â€ĸFactory / Line
īŽ De-Constructing Levels of Variation Provides Insight Into
Possible Root Causes
Stepper
PolyCD
Shift
1 2 3 4
Basic Problem Solving
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Integrated Problem Solving
Data
Driven
Knowledge
Driven
Question
Driven
Integrate
Basic Problem Solving
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Data Driven: Good Data
īŽ When is Data Bad ?
īŽ Under- vs. Over- Standing
īŽ Causality vs. Correlation
īŽ Data (Sample) Bias
īŽ Sufficiency
īŽ . . .
Don’t Take “Data” at Face Value
Basic Problem Solving
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Knowledge Driven: Good Knowledge
īŽ When is Knowledge Bad ?
īŽ Under- vs. Over- Standing
īŽ Applicability
īŽ Capturing & Using Knowledge
īŽ . . .
Don’t Take “Knowledge” at Face Value
Basic Problem Solving
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Question Driven: Good Questions
īŽ How do You Know This to Be True?
īŽ Response to Information or Descriptive Claim
īŽ Why Should I (We/They) Do This?
īŽ Response to Action, Suggestion, Recommendation . . .
īŽ What is it About ____ That Makes it Good (Bad/OK)?
īŽ Response to Value Judgment
After Dennis Matthies
The Basic Critical Question(s)
Get Good at Asking Insightful Questions
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Matthies’ PQ Basic 7 īƒ° 8
īŽ Go/No Go
īŽ Clarification
īŽ Assumptions
īŽ Basic Critical
īŽ Causes
īŽ Outcomes
īŽ Action
īŽ Uniqueness
īƒ¯ Why Spend Time on This?
īƒ¯ What Exactly do you Mean?
īƒ¯ What are We Assuming?
īƒ¯ How do we Know This is True?
īƒ¯ What Caused This?
īƒ¯ What will be the Effects?
īƒ¯ What Should be Done?
īƒ¯ Is This the Only ...?
Learn to Use The Full Toolkit
After Dennis Matthies
Basic Problem Solving
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Argument Deconstruction
Conclusion
Reason/Evidence
Source
Assumption 1 . . .
Assumption 2 . . .
. . . Assumption n
Stay Alert to Implicit Assumptions
& Weak Source(s) After Dennis Matthies
Basic Problem Solving
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Assumptions: Breaking Them Down
Step 1) Brainstorm / Uncover Assumptions Being Made
Step 2) Evaluate: Ask 3 Questions About Each Assumption
1. How Likely is This Assumption to Be False or Mistaken in Some Way & How?
2. What are the Consequences if this Assumption is False or Mistaken? i.e.
How Astray Will it Lead Us? How Long Would it Take to Recover? How Much
Harm Will Result?
3. If We Don’t Know (or Not Sure) Whether/How Valid This Assumption Is,
Would it Be a Good Use of Resources to Investigate Further?
Step 3) Actions Based on Assumption’s Validity
īŽ Create 2X2 Matrix (Consequence vs. Validity) & Parse Assumptions (Next Pg);
i.e. Sort Assumptions Out That Are Highest Uncertainty/Probability of Being
Wrong and That If Not Valid Will Have Significant Consequences
īŽ Make Action Plan For Investigating Those Assumptions Further to Get Broader
View of Risk Inherent in Thought Process
After Dennis Matthies
Basic Problem Solving
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Prioritizing Assumption Evaluation
Consequence of Assumption
Assumption
Validity
Low High
High
Low
Verify /
Double-Check
Underlying
Support
Accept
Investigate &
Reframe
Reframe
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Assumptions: Basic Questions
īŽ What Are You Assuming?
īŽ What is The Person Next to You Assuming?
īŽ What Inferences Are You Making From Your
Assumptions?
īŽ What Could Be Assumed Instead?
īŽ Why Would Someone Make This Assumption?
Reference ??
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Assumptions: Sample Questions
īŽ You Seem to Be Assuming ______. Do I
Understand You Correctly?
īŽ Your Reasoning Depends on The Assumption
That ________. Why Have You Based Your
Reasoning on ______ Instead of ______?
īŽ What Background Information or Data Are
Your Assumptions Based On? Would Knowing
________ Change Your Assumption in Some
Fashion?
Reference ??
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Assumptions: Constraints
īŽ Assumptions About Constraints Common
īŽ Sometimes They are Unconscious
īŽ Sometimes They are a Conscious Assumption
īŽ How Do You Uncover Them?
Basic Problem Solving
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Matthies’ 9 Assumption Categories
īŽ Existence: Assumption That Something Exists
When Someone Says, “The Solution to X Is...” They are Assuming That a Problem Exists
and That There is a Solution for It.
īŽ Uniqueness: There is Only One of Something
In The Above Example, It is Assumed That There is One Solution and One Problem; If
Statement Started With “A” Rather Than “The” No Uniqueness
īŽ Measurement: Assumption That Something Is Measurable
Someone Claims That They Have Found The Solution to X. This Assumes That X is
Measurable and that There is an Accurate Way of Measuring Changes in X.
īŽ Possibility: Something is Possible, or Feasible
When Somebody Says That They Are Trying to Solve a Problem, They Are Assuming That
Finding a Solution is Possible, or That Under The Circumstances it is Feasible. It Could Be
That The Solution is Too Expensive, or Would Take Too Long to Implement, To Be Viable
īŽ Value: Assumption That Something Is Good Or Bad
When Someone Says, “I Have a Great Solution,” They are Obviously Attaching a Value
Assumption – What is The Measure?” After Dennis Matthies
Basic Problem Solving
ARA (Dec 15)- Š 2015 - 50
ARA TRAINING
Matthies’ 9 Category Assumptions
īŽ Audience: In Statements to Others We Make Audience
Assumptions
These Often About Shared Meanings, Shared Values, Or Shared Background.
Ex: Team is Unable to Agree on Which is Solution, X1 or X2 , is Best. Someone Asks,
“What Assumptions Are We Making About How Long X1 or X2 Will Take?” Group Realizes
That Lack of Agreement Stems From Different Assumptions at About How Long (Or How
Hard) X1 or X2 Will Take.
īŽ Category: We Have Categorized Something Correctly
Team Leader Tells Manager The Proposed Solution is Too Expensive. It Could Be That
Solving The Problem is So Critical That Cost is Secondary – Time is the Key Factor.
īŽ Similarity: Majority of Thoughts Are Unconscious Analogies
Team Lead Says “As We Learned in Project X, If We Do Y â€Ļ .” This Assumes That
Solutions Used In Project X Will Work In a Similar Fashion on the New Project.
īŽ Time Constancy: Things Will Stay The Same Over Time
Assuming That Current Conditions are Representative of The Past or That Critical Variables
Stay Constant Over Time are Examples of High Risk Assumption in Problem Solving
After Dennis Matthies
Basic Problem Solving
ARA (Dec 15)- Š 2015 - 51
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Problem Solving Outline
īŽ Part 1: Overview of Methods (Plan)
īŽ Problem Solving Principles
īŽ Contrasting Different Approaches
īŽ PDCA / 4D & 8D Framework
īŽ D1 – D2: Form Team & Define Problem
īŽ Part 2: Step-By-Step Problem Solving (Do)
īŽ D3: Implement Containment
īŽ D4: Identify Possible Root Causes
īŽ D5: Identify Root Cause Corrective Actions
īŽ Part 3: Problem Solving Wrap-Up (Check & Act)
īŽ D6 – D8: Verify Corrective Actions, Prevent Recurrence,
Document Results & Recognize Team
īŽ Appendix
Part 2
Next
Basic Problem Solving
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ARA TRAINING
(4)
Identify
Possible Root
Causes
(3)
Implement
Containment
(2)
Define
Problem
(1)
Form Team
(7)
Prevent
Recurrence
(8)
Document
Results &
Recognize
Team
(5)
Identify Root
Cause Corrective
Actions
(6)
Verify
Corrective
Actions
8D
Process
8D Problem Solving Method

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Basic 8D Problem Solving Tools & Methods - Part 1

  • 1. Basic 8D Problem Solving: Tools & Methods A.R. Alvarez ARA TRAINING ARA (Dec 2015)- Š 2015 - ARA TRAINING
  • 2. Basic Problem Solving ARA (Dec 15)- Š 2015 - 2 ARA TRAINING Problem Solving Outline īŽ Part 1: Overview of Methods (Plan) īŽ Problem Solving Principles īŽ Contrasting Different Approaches īŽ PDCA / 4D & 8D Framework īŽ D1 – D2: Form Team & Define Problem īŽ Part 2: Step-By-Step Problem Solving (Do) īŽ D3: Implement Containment īŽ D4: Identify Possible Root Causes īŽ D5: Identify Root Cause Corrective Actions īŽ Part 3: Problem Solving Wrap-Up (Check & Act) īŽ D6 – D8: Verify Corrective Actions, Prevent Recurrence, Document Results & Recognize Team īŽ Appendix
  • 3. Basic Problem Solving ARA (Dec 15)- Š 2015 - 3 ARA TRAINING Methods For Problem Solving ?
  • 4. Basic Problem Solving ARA (Dec 15)- Š 2015 - 4 ARA TRAINING No One Way to Problem Solving Success But Some Are Better Than Others Good Ones Have Many Common Elements
  • 5. Basic Problem Solving ARA (Dec 15)- Š 2015 - 5 ARA TRAINING Integrate Different Perspective Data Driven Knowledge Driven Question Driven Integrate
  • 6. Basic Problem Solving ARA (Dec 15)- Š 2015 - 6 ARA TRAINING Utilize Simple Tools
  • 7. Basic Problem Solving ARA (Dec 15)- Š 2015 - 7 ARA TRAINING Ask & Answer Simple Questions īŽ What is The Problem? īŽ Why is it a Problem? īŽ What Are The Goals? īŽ How Long Will it Take to Solve? īŽ How Much Will it Cost to Solve? Get Tracked & Managed Like a Project
  • 8. Basic Problem Solving ARA (Dec 15)- Š 2015 - 8 ARA TRAINING Avoid Artificial Constraints īŽ Constraints Will Always Exist īŽ Real Constraints Need to Be Respected, But Also Challenged īŽ Where Can Constraints Appear During Problem Solving? īŽ How Do You Become Aware & Overcome Constraints? Sub-Conscious Assumed Very Real Constraints
  • 9. Basic Problem Solving ARA (Dec 15)- Š 2015 - 9 ARA TRAINING Fit Method to Problem Different Problems May Require Different Approaches Use as Simple an Approach as Possible Be Adaptive
  • 10. Basic Problem Solving ARA (Dec 15)- Š 2015 - 10 ARA TRAINING PDCA: Problem Solving Plan (Define Problem, Pick Factors, â€Ļ) Do (Design / Execute Experiments) Check (Analysis / Implementation / Verification) Act (Make Conclusion, Define Next Step)
  • 11. Basic Problem Solving ARA (Dec 15)- Š 2015 - 11 ARA TRAINING FOCUS Problem Solving Method īŽ Find the Problem (Often the Problem Finds You) īŽ Organize a Team īŽ Clarify Problem īŽ Understand Problem īŽ Select Solution How is It Similar? How Different? How Complete? http://www.mindtools.com/pages/article/focus-model.htm?utm_source=nl&utm_medium=email&utm_campaign=13May14#np
  • 12. Basic Problem Solving ARA (Dec 15)- Š 2015 - 12 ARA TRAINING Kepner - Tregoe 1. Define the Problem (Situation Appraisal) 2. Describe the Problem (Problem Analysis) 3. Establish Possible Causes (Decision Analysis) 4. Test the Most Probable Cause (Potential Problem Analysis) 5. Verify the True Cause How is It Similar? How Different? How Complete? itSM Solutions “Thinking About Problems: Kepner-Tregoe” May 2015
  • 13. Basic Problem Solving ARA (Dec 15)- Š 2015 - 13 ARA TRAINING Edmond’s Creative Problem Solving Step 1 - Curious Observation Step 2 - Is There a Problem? Step 3 - Goals & Planning Step 4 - Search, Explore, & Gather the Evidence Step 5 - Generate Creative & Logical Solutions Step 6 - Evaluate the Evidence Step 7 - Make the Educated Guess (Hypothesis) Step 8 - Challenge the Hypothesis Step 9 - Reach a Conclusion Step 10 - Suspend Judgment Step 11 - Take Action How is It Similar? How Different? How Complete? http://www.problemsolving.net/ps9-3of4-fullproblem.html Template in Appendix
  • 14. Basic Problem Solving ARA (Dec 15)- Š 2015 - 14 ARA TRAINING Problem Solving Concept Map How is It Similar? How Different? How Complete? http://www.studygs.net/problem/problemsolvingo.htm
  • 15. Basic Problem Solving ARA (Dec 15)- Š 2015 - 15 ARA TRAINING Consensus-Oriented Decision-Making The CODM model was developed by psychologist, Dr. Tim Hartnett, and it was published his 2010 book Consensus-Oriented Decision-Making Consensus-Oriented Problem Solving?? īŽ Frame The Problem īŽ Have an Open Discussion īŽ Identify Underlying Concerns īŽ Develop Proposals īŽ Choose Direction īŽ Develop Preferred Solution īŽ Close How is It Similar? How Different? How Complete? http://www.mindtools.com/pages/article/codm.htm?utm_source=nl&utm_medium=email&utm_campaign=13May14#np
  • 16. Basic Problem Solving ARA (Dec 15)- Š 2015 - 16 ARA TRAINING (4) Identify Possible Root Causes (3) Implement Containment (2) Define Problem (1) Form Team (7) Prevent Recurrence (8) Document Results & Recognize Team (5) Identify Root Cause Corrective Actions (6) Verify Corrective Actions 8D Process 8D Problem Solving Method Adapted From “The 8 Discipline Problem Solving Process, Brenda Roos)
  • 17. Basic Problem Solving ARA (Dec 15)- Š 2015 - 17 ARA TRAINING 8D Problem Solving Method īŽ Problem Solving Methodology That: īŽ Clearly Defines a Problem īŽ Allows for Appropriate Interim Containment Action īŽ Analyzes Problems Using Data & Basic Statistical Tools īŽ Drives to Find The Root Cause of The Problem īŽ Corrects The Problem By Eliminating The Root Cause īŽ Implements Mistake Proofing to Prevent Reoccurrence īŽ Uses “Lessons Learned” Concepts as Prevention Step Don’t Limit 8D’s Use to Just Customer Related “Quality” Problems It Doesn’t Need to Be 8D, 4D is Fine in Many Situations
  • 18. Basic Problem Solving ARA (Dec 15)- Š 2015 - 18 ARA TRAINING 8D Project Overview Template Business Impact Revenue $10M Customer Relationship Medium Organization High D1 D2 D3 D4 D5 D6 D7 D8 At D1 3/13/13 3/13/13 3/16/13 3/18/13 3/19/13 3/20/13 3/22/13 3/24/13 Previous Review 3/13/13 3/13/13 3/16/13 3/23/13 3/24/12 3/25/13 3/26/13 3/27/13 Current Plan 3/13/13 3/13/13 3/17/13 3/23/13 3/25/13 3/25/13 3/26/13 3/27/13 Key Requirements Eliminate Customer Line Fallout No Change in Any Product Spec < 3% Increase in Product Cost < 10% Increase in Step Mfg Cycle Time Problem Definition Performance Gap: Actual = Target = Customer Line Fallout 1,000 PPM < 10 PPM Time in Existence 90 Days Time to Solve < 7 Days Product/Service Touch Sensor Customer Apple Organizations PE, TE, Mkt Priority (1 – 5) 4 Team Lead Isabel Team KY, TA, KG, .. Problem Complexity Type (L,M,H) Medium COL Budget (Fcst/Actual) 4 Time Per Cycle 24 Hrs Containment Impact Customer: None Manufacturer: 5% Yield Loss ($0.50) Mfg: 20% Capacity Reduction (1Mu/Mth) Mfg: 10% Increased Cycle Time (6 Hrs) Root Cause / Corrective Action RC Hypothesis/Confirmed: Test Hole at X CA Status: In Progress Note: Add Any Key Customer Delivery Dates / Description Above if Different From Dx
  • 19. Basic Problem Solving ARA (Dec 15)- Š 2015 - 19 ARA TRAINING 4D Project Overview Template Business Impact Revenue $10M Customer Relationship Medium Organization High Plan Containment Root Cause Identified Root Cause CA Implemented At D1 3/13/13 3/13/13 3/16/13 3/18/13 Previous Review 3/13/13 3/13/13 3/16/13 3/23/13 Current Plan 3/13/13 3/13/13 3/17/13 3/23/13 Key Requirements Eliminate Customer Line Fallout No Change in Any Product Spec < 3% Increase in Product Cost < 10% Increase in Step Mfg Cycle Time Problem Definition Performance Gap: Actual = Target = Customer Line Fallout 1,000 PPM < 10 PPM Time in Existence 90 Days Time to Solve < 7 Days Product/Service Touch Sensor Customer Apple Organizations PE, TE, Mkt Priority (1 – 5) 4 Team Lead Isabel Team KY, TA, KG, .. Problem Complexity Type (L,M,H) Medium COL Budget (Fcst/Actual) 4 Time Per Cycle 24 Hrs Containment Impact Customer: None Manufacturer: 5% Yield Loss ($0.50) Mfg: 20% Capacity Reduction (1Mu/Mth) Mfg: 10% Increased Cycle Time (6 Hrs) Root Cause / Corrective Action RC Hypothesis/Confirmed: Test Hole at X CA Status: In Progress Note: Add Any Key Customer Delivery Dates / Description Above if Different From Above
  • 20. Basic Problem Solving ARA (Dec 15)- Š 2015 - 20 ARA TRAINING Best Practices in Problem Solving (Don’t Over-Complicate) īŽ Clear, Concise Problem Definition īŽ Starts With Broad Perspective īŽ Gets Alignment Across Organizations īŽ Breaks Down Problem īŽ Questions Data, Knowledge Base, Assumptions īŽ Critically Focuses Data īŽ Eliminates Artificial Constraints īŽ Drives Convergence & Critical Path īŽ Is Self-Correcting īŽ Balances Planning & Doing īŽ Balances Root Cause Fix & Containment īŽ Is Properly Tracked & Progress Communicated īŽ Appropriately Documented Describe Problem (With Data) Propose Hypotheses Test Hypotheses (With Data) Implement Appropriate Fix
  • 21. Basic Problem Solving ARA (Dec 15)- Š 2015 - 21 ARA TRAINING Pick Your Problems: Pareto Analysis īŽ Vital Few, Trivial Many īŽ Many Things Need Improvement īŽ Where To Start? īŽ Cooperation īŽ Communication
  • 22. Basic Problem Solving ARA (Dec 15)- Š 2015 - 22 ARA TRAINING
  • 23. Basic Problem Solving ARA (Dec 15)- Š 2015 - 23 ARA TRAINING PDCA: Problem Solving Plan (Define Problem, Pick Factors, â€Ļ) Do (Design / Execute Experiments) Check (Analysis / Implementation / Verification) Act (Make Conclusion, Define Next Step)
  • 24. Basic Problem Solving ARA (Dec 15)- Š 2015 - 24 ARA TRAINING (3) Implement Containment (2) Define Problem (1) Form Team (5) Identify Root Cause Corrective Actions 8D Process 8D Problem Solving Method (4) Identify Possible Root Causes (6) Verify Corrective Actions (7) Prevent Recurrence (8) Document Results & Recognize Team
  • 25. Basic Problem Solving ARA (Dec 15)- Š 2015 - 25 ARA TRAINING I. Form Team īŽ Who Should Be on the Team? īŽ Start Small, Grow Team as Problem Definition (D2) Evolves īŽ Team Leader īŽ Team Members (Cross-Functional?) īŽ Roles & Responsibilities īŽ “Rapid” Decision Making Process (Recommend, Agree, Performs, Input, Decides) īŽ How to Determine Priority?
  • 26. Basic Problem Solving ARA (Dec 15)- Š 2015 - 26 ARA TRAINING (3) Implement Containment (2) Define Problem (1) Form Team (5) Identify Root Cause Corrective Actions 8D Process 8D Problem Solving Method (4) Identify Possible Root Causes (6) Verify Corrective Actions (7) Prevent Recurrence (8) Document Results & Recognize Team
  • 27. Basic Problem Solving ARA (Dec 15)- Š 2015 - 27 ARA TRAINING II. Problem Definition īŽ Arguably The Most Important Step in the Process īŽ But The One Most Often Done Poorly īŽ Insure That Problem (& Size) is Real – Don’t Assume! īŽ Problem Definition Elements: īŽ Products or Service Impacted īŽ Quantified Performance Gap (Scope): Current vs. Target īŽ Temporal: 1) Time in Existence, 2) Time to Solve īŽ Quantified Impact: Both Company and Customer īŽ Priority (Dollarizing Extent of Problem Helps Set Priority) īŽ Specify Both Financial and Non-Financial Impact īŽ Specify Not Just Desired Outcome, But Also By When īŽ Modify Team as Necessary
  • 28. Basic Problem Solving ARA (Dec 15)- Š 2015 - 28 ARA TRAINING īŽ Crises: īŽ Fast Action, Big Differences īŽ Simple Experiments īŽ Development/Yield Enhancement īŽ More Time, Smaller Differences, Cause & Effect īŽ 2 Level Factorials, Blocked Designs īŽ Discovery īŽ Longer Time, Complete Knowledge īŽ Response Surface, Steepest Ascent Problem Landscape: Urgency D. Welter, Motorola U R G E N C Y
  • 29. Basic Problem Solving ARA (Dec 15)- Š 2015 - 29 ARA TRAINING Problem Landscape: Assumptions īŽ Assumptions Guide Behavior, Affect Thinking and Therefore Problem Solving īŽ Broad Categories: Casual, Prescriptive & Paradigmatic īŽ You Can’t Help But Make Assumptions; Dig Deep Enough & You’ll Always Hit an Assumption īŽ Implicit or Hidden Assumptions Abound īŽ Some are Good, Even Necessary; Some Not So Good īŽ How to Uncover Assumptions? īŽ How to Differentiate “Good” vs. “Bad” Assumptions?
  • 30. Basic Problem Solving ARA (Dec 15)- Š 2015 - 30 ARA TRAINING Problem Landscape: Data īŽ What Data Do You Need at This Stage? īŽ What Do You Really Know? (Fact, Not Speculation) īŽ How Much Data Do You Need? īŽ How are You Going to Get It? īŽ How Long is It Going to Take You to Get It?
  • 31. Basic Problem Solving ARA (Dec 15)- Š 2015 - 31 ARA TRAINING Initial Data Gathering IS īŽ What It is: īŽ When It is: īŽ Where It is: IS NOT īŽ What It is Not: īŽ When It is Not: īŽ Where It is Not: 3 Ws: First Order What, When, Where
  • 32. Basic Problem Solving ARA (Dec 15)- Š 2015 - 32 ARA TRAINING Initial Data Gathering Possible Actions & Questions īŽ 5 Whys ( = How ) (Used Both in Problem Definition & Subsequent Steps) īŽ Extent ? īŽ How ? īŽ Does it Interact ? īŽ “Solved” Before ? īŽ What Can Be Done to Clarify Problem? īŽ Preliminary Hypothesis Driven? īŽ Who Can Help? īŽ . . .
  • 33. Basic Problem Solving ARA (Dec 15)- Š 2015 - 33 ARA TRAINING Expanded Data Gathering IS Who ī‚§ Who is affected by the problem? ī‚§ Who first observed the problem? ī‚§ To whom was the problem reported? What ī‚§ What type of problem is it? ī‚§ What has the problem (part id, lot #s, etc)? ī‚§ What is happening with the process? ī‚§ What changed? ī‚§ Do we have physical evidence of problem? Why ī‚§ Why is this a problem? ī‚§ Is the process stable (Or Unstable)? IS NOT Who ī‚§ Who is not affected by the problem? ī‚§ Who did not find the problem? What ī‚§ What does not have the problem? ī‚§ What could be happening but is not? ī‚§ What could be the problem but is not? Why ī‚§ Why is it not a problem? After ABB 8D Worksheet 5 Ws . . . and . . . 2 Hs (Who, What, Why, Where, When) (How Many, How Often)
  • 34. Basic Problem Solving ARA (Dec 15)- Š 2015 - 34 ARA TRAINING Initial Data Gathering: Expanded IS Where ī‚§ Where was the problem observed? ī‚§ Where does the problem occur? When ī‚§ When was the problem first noticed? ī‚§ When has it been noticed since? How Much/ Many ī‚§ How well can problem be measured (gauge)? ī‚§ Quantity of problem (ppm)? ī‚§ How much is it costing dollars, people, & time? How Often ī‚§ What is the trend (continuous, random, cyclical)? ī‚§ Has the problem occurred previously? IS NOT Where ī‚§ Where is the problem not observed? ī‚§ Where is the problem not located? When ī‚§ When could the problem have been noticed but was not? How Much/ Many ī‚§ How big could the problem be but is not? How Often ī‚§ What could the trend be but is not? ī‚§ Why hasn’t the problem been seen before?
  • 35. Basic Problem Solving ARA (Dec 15)- Š 2015 - 35 ARA TRAINING Initial Data Gathering Data Sources & Analysis Tools īŽ Data Sources: īŽ SPC Charts īŽ Historical (Typically Unstructured) Data Tables īŽ . . . īŽ Analysis Tools: īŽ Simple (Or Even Multivariate) Correlation Analysis īŽ Multi-Vari Charts īŽ Distribution Analysis and Box Plots īŽ . . .
  • 36. Basic Problem Solving ARA (Dec 15)- Š 2015 - 36 ARA TRAINING Something Change . . . Or . . . “Never Been There” Performance Gap? “Never Been There” Time Desired Actual “Something Changed” Gradual Change Performance Level Time Target Actual Abrupt Change Time Performance Level Target Actual Performance Level
  • 37. Basic Problem Solving ARA (Dec 15)- Š 2015 - 37 ARA TRAINING Multi-Vari Chart īŽ Variation is Composed of Levels; One Level Typically Contains Most of Variation īŽ What Are Levels of Variation? â€ĸDie, Wafer, Lot â€ĸWafer, Run, Shift â€ĸFurnace, Bank, Fab â€ĸTester â€ĸShift â€ĸFactory / Line īŽ De-Constructing Levels of Variation Provides Insight Into Possible Root Causes Stepper PolyCD Shift 1 2 3 4
  • 38. Basic Problem Solving ARA (Dec 15)- Š 2015 - 38 ARA TRAINING Integrated Problem Solving Data Driven Knowledge Driven Question Driven Integrate
  • 39. Basic Problem Solving ARA (Dec 15)- Š 2015 - 39 ARA TRAINING Data Driven: Good Data īŽ When is Data Bad ? īŽ Under- vs. Over- Standing īŽ Causality vs. Correlation īŽ Data (Sample) Bias īŽ Sufficiency īŽ . . . Don’t Take “Data” at Face Value
  • 40. Basic Problem Solving ARA (Dec 15)- Š 2015 - 40 ARA TRAINING Knowledge Driven: Good Knowledge īŽ When is Knowledge Bad ? īŽ Under- vs. Over- Standing īŽ Applicability īŽ Capturing & Using Knowledge īŽ . . . Don’t Take “Knowledge” at Face Value
  • 41. Basic Problem Solving ARA (Dec 15)- Š 2015 - 41 ARA TRAINING Question Driven: Good Questions īŽ How do You Know This to Be True? īŽ Response to Information or Descriptive Claim īŽ Why Should I (We/They) Do This? īŽ Response to Action, Suggestion, Recommendation . . . īŽ What is it About ____ That Makes it Good (Bad/OK)? īŽ Response to Value Judgment After Dennis Matthies The Basic Critical Question(s) Get Good at Asking Insightful Questions
  • 42. Basic Problem Solving ARA (Dec 15)- Š 2015 - 42 ARA TRAINING Matthies’ PQ Basic 7 īƒ° 8 īŽ Go/No Go īŽ Clarification īŽ Assumptions īŽ Basic Critical īŽ Causes īŽ Outcomes īŽ Action īŽ Uniqueness īƒ¯ Why Spend Time on This? īƒ¯ What Exactly do you Mean? īƒ¯ What are We Assuming? īƒ¯ How do we Know This is True? īƒ¯ What Caused This? īƒ¯ What will be the Effects? īƒ¯ What Should be Done? īƒ¯ Is This the Only ...? Learn to Use The Full Toolkit After Dennis Matthies
  • 43. Basic Problem Solving ARA (Dec 15)- Š 2015 - 43 ARA TRAINING Argument Deconstruction Conclusion Reason/Evidence Source Assumption 1 . . . Assumption 2 . . . . . . Assumption n Stay Alert to Implicit Assumptions & Weak Source(s) After Dennis Matthies
  • 44. Basic Problem Solving ARA (Dec 15)- Š 2015 - 44 ARA TRAINING Assumptions: Breaking Them Down Step 1) Brainstorm / Uncover Assumptions Being Made Step 2) Evaluate: Ask 3 Questions About Each Assumption 1. How Likely is This Assumption to Be False or Mistaken in Some Way & How? 2. What are the Consequences if this Assumption is False or Mistaken? i.e. How Astray Will it Lead Us? How Long Would it Take to Recover? How Much Harm Will Result? 3. If We Don’t Know (or Not Sure) Whether/How Valid This Assumption Is, Would it Be a Good Use of Resources to Investigate Further? Step 3) Actions Based on Assumption’s Validity īŽ Create 2X2 Matrix (Consequence vs. Validity) & Parse Assumptions (Next Pg); i.e. Sort Assumptions Out That Are Highest Uncertainty/Probability of Being Wrong and That If Not Valid Will Have Significant Consequences īŽ Make Action Plan For Investigating Those Assumptions Further to Get Broader View of Risk Inherent in Thought Process After Dennis Matthies
  • 45. Basic Problem Solving ARA (Dec 15)- Š 2015 - 45 ARA TRAINING Prioritizing Assumption Evaluation Consequence of Assumption Assumption Validity Low High High Low Verify / Double-Check Underlying Support Accept Investigate & Reframe Reframe
  • 46. Basic Problem Solving ARA (Dec 15)- Š 2015 - 46 ARA TRAINING Assumptions: Basic Questions īŽ What Are You Assuming? īŽ What is The Person Next to You Assuming? īŽ What Inferences Are You Making From Your Assumptions? īŽ What Could Be Assumed Instead? īŽ Why Would Someone Make This Assumption? Reference ??
  • 47. Basic Problem Solving ARA (Dec 15)- Š 2015 - 47 ARA TRAINING Assumptions: Sample Questions īŽ You Seem to Be Assuming ______. Do I Understand You Correctly? īŽ Your Reasoning Depends on The Assumption That ________. Why Have You Based Your Reasoning on ______ Instead of ______? īŽ What Background Information or Data Are Your Assumptions Based On? Would Knowing ________ Change Your Assumption in Some Fashion? Reference ??
  • 48. Basic Problem Solving ARA (Dec 15)- Š 2015 - 48 ARA TRAINING Assumptions: Constraints īŽ Assumptions About Constraints Common īŽ Sometimes They are Unconscious īŽ Sometimes They are a Conscious Assumption īŽ How Do You Uncover Them?
  • 49. Basic Problem Solving ARA (Dec 15)- Š 2015 - 49 ARA TRAINING Matthies’ 9 Assumption Categories īŽ Existence: Assumption That Something Exists When Someone Says, “The Solution to X Is...” They are Assuming That a Problem Exists and That There is a Solution for It. īŽ Uniqueness: There is Only One of Something In The Above Example, It is Assumed That There is One Solution and One Problem; If Statement Started With “A” Rather Than “The” No Uniqueness īŽ Measurement: Assumption That Something Is Measurable Someone Claims That They Have Found The Solution to X. This Assumes That X is Measurable and that There is an Accurate Way of Measuring Changes in X. īŽ Possibility: Something is Possible, or Feasible When Somebody Says That They Are Trying to Solve a Problem, They Are Assuming That Finding a Solution is Possible, or That Under The Circumstances it is Feasible. It Could Be That The Solution is Too Expensive, or Would Take Too Long to Implement, To Be Viable īŽ Value: Assumption That Something Is Good Or Bad When Someone Says, “I Have a Great Solution,” They are Obviously Attaching a Value Assumption – What is The Measure?” After Dennis Matthies
  • 50. Basic Problem Solving ARA (Dec 15)- Š 2015 - 50 ARA TRAINING Matthies’ 9 Category Assumptions īŽ Audience: In Statements to Others We Make Audience Assumptions These Often About Shared Meanings, Shared Values, Or Shared Background. Ex: Team is Unable to Agree on Which is Solution, X1 or X2 , is Best. Someone Asks, “What Assumptions Are We Making About How Long X1 or X2 Will Take?” Group Realizes That Lack of Agreement Stems From Different Assumptions at About How Long (Or How Hard) X1 or X2 Will Take. īŽ Category: We Have Categorized Something Correctly Team Leader Tells Manager The Proposed Solution is Too Expensive. It Could Be That Solving The Problem is So Critical That Cost is Secondary – Time is the Key Factor. īŽ Similarity: Majority of Thoughts Are Unconscious Analogies Team Lead Says “As We Learned in Project X, If We Do Y â€Ļ .” This Assumes That Solutions Used In Project X Will Work In a Similar Fashion on the New Project. īŽ Time Constancy: Things Will Stay The Same Over Time Assuming That Current Conditions are Representative of The Past or That Critical Variables Stay Constant Over Time are Examples of High Risk Assumption in Problem Solving After Dennis Matthies
  • 51. Basic Problem Solving ARA (Dec 15)- Š 2015 - 51 ARA TRAINING Problem Solving Outline īŽ Part 1: Overview of Methods (Plan) īŽ Problem Solving Principles īŽ Contrasting Different Approaches īŽ PDCA / 4D & 8D Framework īŽ D1 – D2: Form Team & Define Problem īŽ Part 2: Step-By-Step Problem Solving (Do) īŽ D3: Implement Containment īŽ D4: Identify Possible Root Causes īŽ D5: Identify Root Cause Corrective Actions īŽ Part 3: Problem Solving Wrap-Up (Check & Act) īŽ D6 – D8: Verify Corrective Actions, Prevent Recurrence, Document Results & Recognize Team īŽ Appendix Part 2 Next
  • 52. Basic Problem Solving ARA (Dec 15)- Š 2015 - 52 ARA TRAINING (4) Identify Possible Root Causes (3) Implement Containment (2) Define Problem (1) Form Team (7) Prevent Recurrence (8) Document Results & Recognize Team (5) Identify Root Cause Corrective Actions (6) Verify Corrective Actions 8D Process 8D Problem Solving Method