Dr. Ed Sickafus Memorial Archives
(3) Sickafus' Books, Overviews, Tutorials, etc.
Ed Sickafus
Compiled by Toru Nakagawa (OGU)
Posted: Mar. 22, 2020
Dr. Ed Sickafus Memorial Archives (3) Sickafus' Books, Overviews, Tutorials, etc. |
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Posted: Mar. 22, 2020 |
Editor's Note (Toru Nakagawa, Feb. 26, 2020):
This page shows a list of Books, Overviews, Tutorials, etc. written by Dr. Ed Sickafus.
Each book is shown with its bibliographic records, table of contents.
Original English texts are either posted here in PDF accessible withbuttons, or not posted here yet at moment waiting for the treatment decisions. In case of USIT Overview eBook, the Japanese translation version is posted already in this Web site (in 2004)
Sickafus Memorial Archive Welcome page  |
(5) Sickafus' USIT site |
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Japanese Archives Index page  |
Sickafus' Books, Overviews, Tutorials, etc. (compiled by Toru Nakagawa, Feb. 23, 2020)
Short name |
Title |
Author (year) |
Publication form |
English text |
Japanese text |
(1) USIT Textbook  |
Unified Structured Inventive Thinking: How to Invent | Ed Sickafus (1997) | Book, published by Ntelleck, 488 pages | Not posted yet | no |
| (2) USIT Overview (eBook) |
Unified Structured Inventive Thinking - An Overview | Ed Sickafus (2001) |
Digital posting in www.u-sit.net (2003); |
Posted in PDF |
posted (2004) |
| (3) Book HSTP |
Heuristics for Solving Technical Problems - Theory, Derivation, Application | Ed Sickafus (2004) |
Book, digital posting, 113 pages |
Posted in PDF |
no |
| (4) HI Textbook |
Heuristic Innovation: Engaging both brain hemispheres in rapidly solving technical problems for multiple solution concepts | Ed Sickafus (2006) |
Book, digital posting in www.u-sit.net (2007); |
Posted in PDF |
no |
| (5) Brief USIT Tutorial |
A Brief Tutorial on Unified Structured Inventive Thinking | Ed Sickafus (2014) |
ICSI 2014 Tutorial, digital posting in edsickafus.wordpress.com; 48 pages |
Posted in PDF |
no |
Note (TN, Feb. 26, 2020): Following is announced in the USIT Web site (in 2007), but not mentioned in the WordPress site (in 2015). Arrangement from now on will be announced in the near future by Kurt Ed Sickafus. For the time being, the USIT Textbook will not be posted here in this Memorial Archives. Other textbooks (HSTP and HI), USIT Overview, Brief USIT Tutorial, and all other papers and articles by Dr. Ed Sickafus are posted publicly in his Web sites and in this Archive and are downloadable without any charge or any registration.
Purchase Textbooks (Jul. 2007, in www.u-sit.net, Ed Sickafus)
Special Offer: Both the USIT-textbook (hardbound, $44.50) and the HI-textbook (electronic, pdf, $22.50) are available for the price of one – $44.50 US – plus shipping&handling for the hardbound book. This offer is good while the USIT-textbooks remain in stock. Payment may be made by check drawn on a US bank or by credit card service provided by PayPal. After completing registration and publication selections you will be transferred to PayPal to complete a credit card purchase. The USIT textbook will be delivered by Preferred US Mail. The HI textbook will be mailed to your email address at the end of completing your transaction with PayPal.
In the WordPress site (edsickafus.wordpress.com) (Sept. 2015)
The HI-textbook is made downloadable without charge, but there is no mention on the USIT Textbook.
(1) USIT Textbook:
"Unified Structured Inventive Thinking: How to Invent"
(Ed N. Sickafus, NTELLECK, 1997; 488 pages)
Note (TN, Feb. 27, 2020): English text is not posted in thie Archives yet, waiting for the arrangement.
Dr. Sickafus introduces the USIT textbook as follows in his USIT Site:
Introduction of the USIT Textbook (Ed Sickafus, in www.u-sit.net)
The basics of structured problem solving of routine day-to-day design-type problems and of problems requiring invention are taught in the "Unified Structured Inventive Thinking – How to Invent" textbook.
The USIT textbook establishes a unified approach to
∆ self-consistent definitions, ∆ viable problem definition, ∆ logically organized procedure,
∆ plausible root-cause analyses, ∆ solution techniques, ∆ new concept generation,
based on three fundamentals: objects, attributes, and the functions they support.
Examples, demonstrations, and exercises are employed to speed the learning process with deference to logical (left-brain) thinking. USIT addresses the pre-engineering phase of all problem solving – the concept-generation phase. Pre-engineering includes all manner of problems. USIT does not solve problems; nor does any other problem-solving methology – you do!
USIT shows the way to new perspectives of the same thing others face but can't seem to find the insight for creative thinking. You too can invent.[Note (TN, Feb. 26, 2020): The availability and purchase arrangement will be announced by Kurt Ed Sickafus in the near future. English version is not posted here at moment.]
Table of Contents (USIT Textbook)
i Preface
The Missing Link
Techniques for solving technical problems
Creative thinking
Intrigue
Conceptual solutions for conceptual problems
Audience
ii Acknowledgments
iii Table of Contents
iv SIT Flowchart
v Table of Example Problems
PART I PRINCIPLES of STRUCTURED INVENTIVE THINKING1 Introduction
Solving problems
How do you solve problems?
Base-line exercise.
Who needs SIT?
Success with SIT
Layout of the book.2 History of Structured Inventive Thinking
Origin of the Theory of Solving Inventive Problems
Origin of Systematic Inventive Thinking
Origin of Structured Inventive Thinking3 Overview of Structured Inventive Thinking
What SIT is
Confinement --> Creativity
Adapting to SIT
What SIT is not
SIT in Summary
4 Demonstration of Structured Inventive Thinking
Collection of information and problem statement
The Ice Removal Problem
Selection of objects
SIT: The Closed-World Method
Closed-world diagram
Technological contradiction and the qualitative-change graph
SIT: The Particles Method
Problem Situation-to-Ideal Solution Process
Application of Particles
The And/Or tree
SIT: Objects, Attributes and Functions
Objects, Attributes and Functions
SIT: Object-Attribute-Function Expanded CW-Diagram
SIT: Solution Techniques
Uniqueness
Dimensionality
Unification
Pluarlization
Generification of solutions
Conclusions
Comments on Root Cause
Example Problem
5 Information
Define the Problem
The One-Problem Target of SIT
What is the problem?
Ill Defined and Well Defined Problems
Misleading Demonstration Problems
The INFORMATION stage of the SIT process
The One-Problem Target
Filters
Conceptualization
The Graphic Statement
Elevation to a Puzzle
Example #__ The mountain climbing monk.
Example #__ The Bicycle Transmission Invention
A "Flowery" Picture
The Level of the Puzzle
Exercises6 Objects
Tangible Components of a Problem
Fewer is Better
The Closed-world of Objects
Definition of Objects
Selection of a List of Objects
The Bicycle Transmission Problem Continued
Example: Selection of Objects in a Packing Operation
The Two Algorithms of SIT
Exercises
7 The Closed-World Algorithm
The Closed-world diagram
Object connectivity
Rules for object connectivity
Neighborhood and Environmental objects
Compound objects
Finding the most important object
"Desired Effect" lies in the eye of the beholder
No unique CW-diagram
Example: The Ball-Point Pen Problem
Limited Object Sets
Exercise: List of Objects and CW-Diagram
The Qualitative-Change Graph
Technical Contradiction
A Qualitative-Change in a Problem Characteristic
Example of a Qualitative-Change Graph
Exercise: Qualitative Changes in Problem Characteristics
8. The particles-method algorithm
Magical Particles
A Graphic Procedure
The Ideal Solution or Invention
Exercise: Ideal Solutions
The Solution Path Analysis
Metamorphosis from the Problem Situation to the Solution
Example of a Morph Cartoon
When Time is a Factor
Placement of Particles
From "Smart Little People" to "Particles"
Applying Particles
Examples of Particle's Placements
Preferred Particles Locations
The And/Or Tree
Initiation/Termination of Particles
Example of the Roughened Ball Continued
The Particle's Properties Lists
Example of the Roughened Ball Continued
Example: The Ear Wax Problem
9. Objects, Attributes, and Functions
An Object, Attribute, Function Pseudo-Space
Purpose of Expanded CW-Diagrams
What is it -- an Object, an Attribute, or a Function?
Definitions of Objects Their Attributes, Metrics and Functions
Examples of Objects, Attributes, Metrics and Functions
Forces, Fields and Energy
Motion and Flow
Heat -- an Object, an Attribute, a Function, or the Imperfect Metaphor?
Example of Attribute Created Information
Need of an Object-Attribute-Function Expanded CW-Diagram
Example of Development of an Expanded CW-Diagram -- 1st Stage
Construction of an Expanded CW-Diagram
Example of Development of an Expanded CW-Diagram -- 2nd Stage
Example Problem: "A Physicist's Clock" -- Analysis of a Simple Pendulum
Illustrating the Roles of Objects, Attributes and Functions.
Exercises
10. Solution Techniques
Five Solution Techniques
Uniqueness: An Investigation of Temporal and Spatial Distinction
Temporal uniqueness
Temporal treatments
Spatial uniqeness
Spatial treatments
Object/Attribute uniqueness
Uniqueness solution ploys
Examples of uniqueness
Dimensionality: An attack on attributes
Examples of dimensionality
Pluralization: An attack on objects
Examples of pluralization
Unification: An attack on functions
Examples of unification
Resources for inventive solutions
Heuristics
Solution Templates
The Ice-Block Removal Problem Revisitd for Solution Templates
Transduction Phenomena
SIT Transduction
A Glass/Mercury Thermometer
The Ice-Block Removal Problem Continued:
Examples of Transduction Phenomena
Transduction is a Function
Transduction Analysis
Exercise
11. Generification -- a SIT process
Generification reduces psychological barriers
Solution space
The Generic World
Problem Generification
The butter patty melting problem
Information Generification
Object Generification
Attribute Generification
Function Generification
Examples of function generification
Solution Technique Generification
Transducer Generification
Solution Generification
Summary
12 Single-Object Functional analysis
The One-Object Situation
Focus on Functions
The Functional-Analysis Diagram
Example of A Single-Object Functional Analysis
Improving a product
Select an object
Define the object
Uses for a knob
Functions of a knob
Construction of a functional diagram for a knob
Attributes Associated by Knob Functions
From a Single-Object Functional Analysis to Solution Techniques
Summary of Knob Solution Concepts
Exercise:
13 Contradictions
Altshuller's Use of Contradictions
Israeli's Use of Problem Characteristics
SIT's Use of Contradictions
Methods for Developing Technological Contradictions
Examples of Constructing SIT Technological Contradictions
The lens polisher problem
The light-bulb filament problem
Qualitative-Change Graphs vs Constituent-Contradiction Graphs
Exercises
PART II Example Problems
Introduction
Key to example problems
Example 01: *The lunar and/or head lamp
Example 02: *The forty-ton press
Example 03: The Butter-Patty Melting Problem
Example 04: Solutions for the Ear Wax Problem
Example 05:The Case Hardening Problem
Example 06: The Vapor Cannister Problem
Example 07: The "Smart" Headlamp Problem
Example 08: The Toast Detector Problem
Software security
Experimental timer
The picture hanging kit
13. Potpourri Wrap-Up
1. The Industrial Experience
2. The First SIT Lecture
3. A First SIT Problem
4. Does SIT Work?
5. Introducing SIT Into a Corporation
6. Motivation for this Book
APPENDICES
APPENDIX 1. Principal Functions
A Door Hinge
A Lead Pencil
APPENDIX 2. Two-Attribute-Function Associations
Thermal Energy Content
Heat Flow
Gravitational Force
Potential Energy
Hall Effect
Thompson Effect
Bibliography
Glossary
Index
(2) USIT Overview (eBook):
"Unified Structured Inventive Thinking - An Overview"
(Ed Sickafus, 2001, 46 pages)This Overview article was written by Ed Sickafus in Oct. 2001 and was posted in his USIT Web site in Feb. 2003 (delayed by a year and half, probably for his obtaining the permission from Ford Motor Co.) in the downloadable form only after registration without charge.
I translated it, with the help by K. Kawamo and S. Koshimizu, into Japanese and posted the Japanese version publicly in "TRIZ Home Page in Japan" downloadable after registration without charge.
In this Memorial Archive, the English (as well as Japanese) version in PDF is downloadable, without charge, without registration.
USIT Overview, eBook (in English)
(Feb. , 2020)
USIT Overview, eBook (in Japanese translation): HTML page
(Oct. 18, 2004)
Table of Contents (USIT Overview)
Author biographical sketch
Contents
Flow ChartChapter I. Introduction
Historical notes; Content of this overview; Acknowledgements; Span of USIT
Chapter II. How to think about USIT
Chapter III. Definitions
Chapter IV. Thinking-Aid Models
O-A-F contact model; Electronic feedback model; Span of USIT
Chapter V. USIT Flow Chart
Chapter VI. Well-Defined USIT Problem
A well-defined problem exercise
Chapter VII. Closed-World Method
Closed-world diagram ; O-A-F statements; Qualitative-change graph
Chapter VIII. Particles Method
Morph cartoon ; And/or tree ; Creation/annihilation boilerplate
Chapter IX. USIT Solution Techniques
Uniqueness; Dimensionality ; Pluralization; Distribution ; Transduction; Generification
Chapter X. How to apply USIT
Chapter XI. ConclusionAppendix A. Miscellaneous exercises
Appendix B. Additional Resources
Appendix C. USIT Textbook Order Form
Appendix D. License Agreement
(3) Book HSTP:
"Heuristics for Solving Technical Problems - Theory, Derivation, Application",
(Ed Sickafus, Ntelleck, 2004, 113 pages)This is a new book written by Dr. Ed Sickafus in Nov. 2004. I received the PDF file from him via email.
He posted this book in the digital form publicly in his USIT site in 2004.
However, he did not highlight this book in his (rebuilt) USIT Web site in Jul. 2007. I don't know why.The English version in PDF, which I received in Nov. 2004, is now posted here publicly. Downloadable, without charge without registration.
HTSP Book (in English, PDF)
Abstract
Heuristics used by engineers and scientists in solving design-type problems are the non-algorithmic, empirical tricks, tools, and techniques learned academically and from experience. They do not solve problems. Instead they give pause to look at problems in different ways for new insights. An axiomatic basis consisting of six assumptions, inferred from the physical world of interacting objects, is used for a first-time derivation of heuristics. The derivation leads to a surprising number of heuristics.
As the axioms are couched in generic terms, independent of a particular field's argot, the resulting heuristics are also generic. Hence, a particular derived heuristic can be adapted to a specific field by wording it appropriately. This allows personalization of derived heuristics. Conversely, it provides a unified system for cataloging personal heuristics in a generic classification. These derived heuristics and their underlying strategies constitute a new problem-solving methodology. The resulting methodology presents problem solvers an attribute-centered methodology in contrast to conventional objectcentered methodologies.
Table of Contents (HSTP Book)
Abstract
Derivation of Heuristics in Three PartsPart I – Use of Heuristics in Problem Solving
Introduction
Heuristics in Mathematics
Definition of heuristics and intuition
Examples of heuristics used by technologists in problem solving, Table 1.
Heuristics seed the subconscious
The use of heuristics in problem solving
Unstructured brainstorming
Background
Structured, problem-solving methodologies
Origin of heuristics
A simple model of cognition
Perspectives and biases in problem solving
Abstraction of heuristics
Comments on the method
The Method for Abstract Deduction of Heuristics
Application of heuristics to a physical-world problem
Problem-definition phase
Problem-analysis phase
Problem-solution phase
Summary of heuristics used, Table 2.
Abstract heuristics – no physical-world references
Application of heuristics to an abstract problem
Problem-definition phase
Problem-analysis phase
Problem-solution phase
Summary of new graphic heuristics for an abstract problem, Table 3
Abstract heuristics for abstract problems
Graphic representation of heuristics
Comments on the adaptation of derived heuristics to other fields.
Object
Information as an object
Attribute
Function
Object abstraction
Note on Mathematical Heuristics
Comparison of twelve mathematical heuristics with known and derived heuristics, Table 4
Conclusion of Part IPart II – Derivation of Heuristics
Derivation of Heuristics
Definitions
Axioms
Known Heuristics
Abstraction
Problem state
Problem-state – to – Solution-state strategies
Problem State graphic model
Solution State graphic models
Characterization of attributes
Analysis of solution states
Solution by utilization
Solution by A-F-A linking
Solution by nullification
Solution by elimination
Graphic metaphors as solution heuristics
Spatial and temporal heuristics
Solution by transposition
Paired spatial | temporal attributes, Table 3
Summary of Heuristics for Problem Statement, Analysis, and Solution
Phraseology in words and graphics
Conclusion of Part IIPart III – Demonstration of Derived Heuristics
Introduction
Inventing a belt – a problem to be solved (using the newly derived heuristics)
Deduction of problem definition information
An unwanted effect as a strategy for invention
Graphic problem statement
Solution by utilization
Solution by utilization using A-F-A linking
Solution by nullification
Solution by elimination
Conclusion of Part IIIAcknowledgements
Glossary
ReferencesAbout the Author
(4) "Heuristic Innovation" Textbook
"Heuristic Innovation – Engaging Both Brain Hemispheres In Rapidly Solving Technical Problems For Multiple Solution Concepts"
(Ed N. Sickafus, Ntelleck, LLC, 2006, 260 pages) (www.u-sit.net)Note (TN, Mar. 17, 2020): Dr. Sickafus published this book in the form of hard cover printed book, and sold together with the USIT Textbook at the sales price of 2 textboks for the former price of USIT Textbook. (in 2006).
In the new WordPress site (in 2015), the original English version of this textbook is downloadable without charge after registration.
Hence this textbook is posted publicly here in this Memorial Archives.HI Textbook in PDF
Introduction to HI Textbook (Ed Sickafus, in www.u-sit.net, Jul. 2007)
For those who have attained confidence in the discipline of USIT, the textbook "Heuristic Innovation" brings new emphasis to its practice designed to streamline inventive thinking by stressing more the engagement of both brain hemispheres and less the use of structure. See (1) in Essays.
Mini-lectures in the "U-SIT and Think Newsletter"cover a wide range of USIT related topics mostly focusing on techniques for learning and applying USIT methodology to all manner of problems.
This "HI" textbook is an extension of USIT for greater speed and creativity by those who are practiced in the fundamentals of USIT. Basic definitions of USIT, their application, and ways of thinking about them are taken directly from USIT. The USIT practitioner who understands the structure of USIT is weaned from dependence on that structure in favor of more efficient practice that focuses almost entirely on problem definition, a la USIT. Flow-chart tedium is deprecated. The process uses no flow chart but instead iteratively develops the problem definition in ever deepening detail and understanding. Creativity is expressed through the practice of accomodating both brain hemispheres in developing problem definition and in finding solution concepts. Multiple heuristics are used in many ways. So important are these devices that a section is devoted to their generification and derivation from six fundamental axioms of problem solving.
Table of Contents (of "Heuristic Innovation" Textbook)
Dedication iii
Table of Contents v
Table of Examples ix
To all problem solvers xi
Preface xv
Organization of heuristic innovation in three parts xviiPart A Mental Problem Solving – How the Mind Solves Technical Problems 1
Goal of heuristic innovation 1
Procedure 2
Assumptions 2
Analogy of visual cues and problem-solving seeds 7
Using seeds 8
Solutions 11
Causes and effects in a well-defined problem 12
Plausible root-cause analysis 17
Forms of the proforma graphic 21
Focus on attribute → unwanted effect → attribute units 21
Orphan attributes 23
Questions having answers / Problems having solution concepts 23
Inventing problems 23
How do seeds work? 24
Generification of problem definition 27
Iteration in mental problem solving 29
Natural thinking in problem solving 30
The neural chemistry of problem solving 32
Brain lateralization 34
The struggle between intuition and logic 34
Resolving the struggle between intuition and logic 36
Brain divergence 37
Transition from structured to unstructured problem solving 38Part B Application of heuristics 41
Preface 41
Origins 43
Proof of efficacy 44
Introduction 45
Structured problem solving from TRIZ to USIT 45
The model of heuristic innovation 48
Logical problem solving – a linear path 51
Problem definition – the heart of heuristic innovation 52
Engaging both hemispheres of cognition 55
Metaphors – thought starters 54
Awareness images 55
Metaphorical images 56
Hemispheres of cognition 57
Goal of studying cognitive-hemisphere modes of thinking 57
What our two cognitive hemispheres have to offer 58
When do we use both logical and intuitive thinking traits? 61
Ambiguous metaphors 63
Filters 64
Two objects – ultimate focus 66
Introduction of thought paths 67
Examples of thought paths found through attribute paring 68
Depth of understanding of an effect 74
Using thought paths 74
Attribute pairing in ambiguous effects 75
Thought paths fond through attribute triplets 80
Images in problem solving 82
A real-world problem 82
More on cognitive-hemisphere thinking traits 90
Heuristics 94
Strategy for heuristic innovation demonstration 94
Demonstration problem: the loose wire-harness connectors 96
Construction of a problem statement 96
Simple sketch 97
Discussion 99
Iteration of problem statement 100
Iteration of heuristics 103
Utilize an unwanted effect 103
Eliminate an unwanted effect 104
Nullify an unwanted effect 104
Challenge assumptions 105
Take objects to extremes 105
Take attributes to extremes 106
The transition from USIT to heuristic innovation 111
The USIT plausible root-cause heuristic 111
The heuristic-innovation transition 113
How to invent from an unwanted effect 114
Left behind? 118
In the end, it is problem analysis 118
Conclusion 120Part C Theory, Derivation, and Application of Heuristics 123
Preface 123
Overview 124I. Theory for Derivation of Heuristics 125
Introduction 125
Heuristics in mathematics 125
Definition of heuristics and intuition 126
Table C1. Examples of heuristics used by technologists in problem solving 127
Heuristics seed the subconscious 127
The use of heuristics in problem solving 128
Unstructured brainstorming 129
Background 130
Structured, problem-solving methodologies 130
Origin of heuristics 130
A simple model of cognition 130
Perspectives and biases in problem solving 131
Abstraction of heuristic 133
Comments on the method 133
The Method for Derivation of Abstract Heuristics 135
Application of heuristics to a physical-world problem 135
Problem-definition phase 135
Problem-analysis phase 137
Problem-solution phase 141
Table C2. Summary of heuristics used 146
Abstract heuristics – no physical-world references 147
Application of heuristics to an abstract problem 148
Problem-definition phase 148
Problem-analysis phase 149
Problem-solution phase 149
Table C3. Summary of new graphic heuristics for an abstract problem 155
Abstract heuristics for abstract problems 155
Graphic representation of heuristics 156
Comments on the adaptation of derived heuristics to other fields 157
Object 159
Information as an object 159
Attribute 160
Function 160
Object abstraction 161
Note on Mathematical Heuristics 162
Table C4. Comparison of twelve mathematical heuristics with known and derived heuristics 162II. Derivation of Heuristics 163
Introduction 163
Common rules / uncommon language 163
Derivation 164
Definitions 164
Axioms 165
Known Heuristics 166
Abstraction 167
Problem state 167
Problem-state – to – Solution-state strategies 169
Problem State graphic model 170
Solution State graphic models 170
Characterization of Attributes 171
Analysis of solution states with example solutions 174
Solution by utilization 174
Table C5. Space-time attribute modifications for solution by utilization 175
Examples of solution by utilization 177
Solution by A-F-A linking 179
Solution by nullification 181
Solution by elimination 184
Graphic metaphors as solution heuristics 185
Table C6 Random two-attribute arrangements and their metaphorical implications. 186
Spatial and temporal heuristics 188
Solution by transposition 190
Table C7. Paired spatial | temporal attributes 191
Table C8. Summary of Heuristics for Problem Statement, Analysis and Solution 193
Summary of heuristic strategies for problem solving 196
Solution strategies 196
Phraseology in words and graphics 198
Conclusion of Derivation of Heuristics 199III. Application of Derived Heuristics 201
Introduction 1201
Inventing a belt – a problem to be solved using the newly derived heuristics 202
Deduction of problem definition information 202
An unwanted effect as a strategy for invention 203
Graphic problem statement 205
Solution by utilization 207
Solution by utilization using A-F-A linking 210
Solution by nullification 212
Solution by elimination 214
Conclusion of Application of Derived Heuristics 216
AppendicesA1. Infovores crave information 217
A2. For managers: Strategic partitioning of problem-solving resources 219
Glossary 223
References 231
Exercises 233
Acknowledgements 237
About the Author 239
Index 241
Examples – Ideas, partial demonstrations, completed exercises, etc.
Complete problems:
Erasure smudge 5, 8–17, 19, 23-29,
Pin and balloon 49-55, 64-81
Loose wire-harness 96-110
Hand-held binoculars 135-145
Engineering scale-up:
Audio speech compression 2
Graphic proforma:
Trunk lid and airbag 3
Erasure smudge 24, 25-26, 28
Pin and balloon 70
A law and a suspect 160
Specimen and glass slide 166
Rod and solid 168
N2 and O2 (speed control) 177
Polymer and location 182
Belt and swabs 182
Front wheel and rear wheel 183
Cell and blood 183
Belt and buckle 205, 207
Belt: stress and creep 210, 211
Images and metaphors
Laundry room leak 81-89
Introspection
Jigsaw puzzle 91
Volume of a sphere 92
Inventing an electric motor 92
Invention:
Computer mouse 115-117
Men's trousers belt 202-215
Problem statements (well defined and not so well defined)"
Pin and balloon 497, 51-53,
Four saloons 61-62
Two trains and a bumble bee 63
Solution by utilization:
Nitrogen and oxygen 177
Solution using A-F-A links:
Pedal and driver (speed control) 180
Solution by nullification:
Polymer birefringence 182
Conveyor belt and swabs 182
Turn radius of a vehicle 183
Pancreas cells in silicon holes 183
Solution by elimination:
Car radio temptation 184
Exercises
Practice metaphors 6
Sticky asphalt 39
Flag pole invention 39
Solution vs. concept 39
Balloon sketch error 53
Two trains and a bumble bee 63
Reactions to Fig. B.3 64
Ice cream 67
Reactions to language 121
Problem from one's own field 121
Apples in a box 121
E1– A fix-it problem 233
E2 – Reverse engineering 233
E3 – Attributes 233
E4 – Generification of objects 233
E5 – Points of contact 234
E6 – Invention 234
E7 – Well-defined problem 234
E8 – Functions 234
E9 – Object minimization 234
E10 – Solution strategies 235
E11 – Attribute pairing from lists of randomly selected attributes 235
E12 – Attribute pairing in ambiguous effects 236
(More examples are found in Ref. 1)
(5) Brief USIT Tutorial:
"A Brief Tutorial on Unified Structured Inventive Thinking"
(Ed Sickafus, ICSI 2014, Tutorial, 48 pages)Original English Text is posted here in PDF.
Abstract
USIT is a simplified, structured problem solving (SPS) methodology. It is applicable in all fields of problem solving where problems can be defined in terms of objects, attributes, and functions. In its original phase of development, emphasis was focused on simplification of SPS methodologies such as TRIZ and related spin-offs. The logic of technology was the grail. In its second phase, emphasis has been expanded to suppress logic producing a broader solution space. USIT involves bimodal thinking using mental mechanics and mental strategies. Cognitive psychology research, in the past ten years, has discovered that during mental processing of information creative thinking precedes conscious logic. Once creative thinking is established as being illogical it becomes a bit too presumptive to seed the brain with logical clues – the common choice of SPS methodologies. Bimodel thinking in the second phase involves two levels, conscious and unconscious thinking. Using suppression of logic augments the scope of USIT, logic is not eliminated.
The goal of USIT is to seed the brain to employ all of its resources for generating new ideas. USIT operates within one's mental resources of training and personal experience. Paper and pencil are the only auxiliary tools that are needed. Both phases of USIT development are covered briefly. The first phase began in Ford Motor Company Research Laboratory in 1985, the second in Ntelleck in 2000
Table of Contents (of Brief USIT Tutorial)
Abstract
1. Introduction
2. USIT
2.1 Phase I Logical USIT Heuristics
Well-Defined Problem; Point of Contact; OAF Usage; Object-Object Diagram; Minimize Number of Objects; Plausible root cause(s); Cause-effect analysis; OAF statements; Information as an Object; Focus on one problem; Sketches; USIT flow chart; Solution Strategies; That's It! A Brief Tutorial That Has Shown All Details of the Example Problems
2.2 Abbreviations
3.0 USIT Phase II
3.1 The Unconscious/Conscious Bilevel Model of the Brain
3.2 A New Model of Bilevel Thinking.
3.3 Concepts Seed New Concepts
3.4 Comments on access of images.
3.5 Where Logic Stands in Innovative Problem Solving.
3.6 USIT Phase II heuristics:
3.7 Comments on Pre-Engineering Solution Concepts
3.8 How Can We Know Our Unconscious is Solving Problems?4.0 Addenda
4.1 Introductory Example of a Real-World Problem for those not Familiar with SPS
The Problem;
Reference
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Last updated on May 25, 2020. Access point: Editor: nakagawa@ogu.ac.jp
