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Preface
Foreword
Chapter
1
Introduction
Scope, Industrial and Historical Background
Productivity, Quality and Welfare
Chapter
2. PURPOSE and METHODOLOGY
Purpose
Background
Overall Statement
CHAPTER
3. SOCIAL AND ECONOMIC EFFECTS OF THE MANUFACTURING SYSTEM
Abstract
Background
Numerical Control, Flexible Manufacturing Systems and Computer-Aided
Design and Manufacture
The Manufacturing System Concept
Man and the Manufacturing System
Two Basic Human Needs Behind Manufacturing
The Automation, the Wealth and the Investments
An Increased Social Concern
The Holistic View of Today
CHAPTER
4. COMPUTER INTEGRATED MANUFACTURING - A driving force in
the development
Abstract
Introduction
Two basic Human Needs behind Manufacturing
For CIM we need a Scientific Base
Three Production Systems within CIM
Principles of Organization
Integration of Science and Engineering
The Innovative and Operative Processes
CIM seen as our Tool
FMS, Work Satisfaction and Human Development
Computer Aided Design of MPS is important within the IPS
CIM, the Natural Resources and Pollution
CHAPTER
5. BASIC PRINCIPLES FOR MANUFACTURING SYSTEM DESIGN IN A
HUMAN CONTEXT
Abstract
The Manufacturing System Steadily Meeting new requirements
Innovative Development and Efficient Production
Environmental Sustainability is a Must
Responsible Product Realization Team Work, Design Decisions
and Modeling
Manufacturing with Limited Manpower - Productivity
Information Technology Improved Product Realization
To Organize for Goal-oriented Team Work
The Concrete Way
The Order Oriented Way
Standard/Customer adaption
The Neat Way 64 Traditonal/Lean
The Sustainable Way
The Concurrent Way
The Ingenious Way
To Organize for a New Learning Organization
Three Key Factors
CHAPTER
6. CONCURRENT ENGINEERING
Abstract
What is Concurrent Engineering?
History
Objectives for Concurrent Engineering
Approach to Concurrent Engineering
Work Organization in Concurrent Engineering
Tools Important to the Success of Concurrent Engineering
Future Possibilities to Improve the Concurrent Engineering
Tools
Rapid Prototyping
Industrial Experiences and Results
Conclusions
CHAPTER
7. NEEDS AND POSSIBILITIES FOR A SCIENCE OF industrial production
Abstract
Manufacturing Technology
In Search of Improved Scientific Base of Industrial Production
The Nature and Overall Principal Role of the Industrial
Production System
How can we define the Need for Scientific Knowledge to Improve
Industrial Production?
Science of Engineering
Current trends in the development, which influence the need
for new scientific knowledge
Scientific Subjects, Basic Engineering Subjects and Applied
Engineering Subjects
Excellent Manufacturing requires Excellent Knowledge
Knowledge, a Human Attribute
Knowledge and its Nature
Scientific Methods to Improve Engineering Development
Mathematical Modeling of Products and Production Systems
CIM Requires Solid Scientific Knowledge
New Knowledge Areas are needed in Manufacturing
Concluding Remarks
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CHAPTER
8. DESIGN - A CORE ELEMENT WITHIN THE SCIENCE OF ENGINEERING
Abstract
Needs, Tools and Knowledge
Design Extends Reality
Concurrent Engineering
Customized, Customer Order Controlled Production
Computer Aided Design
Engineering Design Industrial Competitiveness
Classes of Engineering Design Methods According to Principle
of Evolution
Manufacturing System Design Decomposition
Conclusions
CHAPTER
9. THEORY OF KNOWLEDGE AND SCIENTIFIC BASE OF INDUSTRIAL
INNOVATION
Summary
Engineering
Design creates new objects meeting new requirements
Axiomatic Design a scientific model of customised engineering
The Nature of Knowledge and possibility of Objective Knowledge
Real Knowledge and Fantasy important in Engineering
The Nature of Engineering Science and the Innovation Process
The Inherent Logic of the Innovation Process
Decision world
Good design must Satisfy the User
Functional and Esthetic Satisfaction
Concurrency in the development of products and processes
is important
The Hermeneutic principle is useful for the Analysis of
Industrial Processes
Modeling, a way to handle knowledge relevant for design-objects
not existing yet
CHAPTER
10. ECONOMIC GROWTH, INDUSTRIAL PRODUCTION AND TEM TOTAL
EFFECTIVITY MANAGEMENT Summary and Conclusions
Abstract
Conclusions
Wealth and conditions for stable economic growth
Change or stability?
Total Effectiveness Management by Means
Innovation and production
The Inherent Logic of the Innovation Process
Axiom
Decision world
Quality
Productivity
Conclusions on Quality and Productivity through Engineering
Design
Theory for Concurrent Engineering
Sustainability through Learning and Competence - Human competence
world
Innovative competence
Model world
Final Conclusions
Appendix
1
Fundamental Principles Behind Axiomatic Design
Appendix
2
Fundamental Principles Behind Robust Design
The Taguchi method
Appendix
3
Fundamental Principles behind Theory of Inventive Problem
Solving
The Theory of Inventive Problem Solving
Appendix
4
Notes on Complexity, Difficulty and Axiomatic Design
Appendix
5
Can a Consistent Set of Principles for Engineering Design
be defined with Axiomatic Design as a Base?
Background
Principles Versus methodologies
The Principles of Axiomatic Design
The Principles of the Theory of Inventive Problem Solving,
TRIZ
Opportunities
Voice of the Customer
TRIZ as a Complement to Axiomatic Design
Axiomatic Design as a Base for Concurrent Engineering and
Design for Manufacture
Robust Design through Axiomatic Design and the Taguchi Method
Axiomatic Design Combined with Product Modeling
Large Flexible System Design
Knowing, Learning, Understanding and Doing Based upon Axiomatic
Design Principles
Structured Analysis and Design Technique and Axiomatic Design
Conclusions
Appendix
6
Axiomatic Design Concepts
Domains and mapping
TERMINOLOGY
ABBREVIATIONS
REFERENCES
INDEX
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