"Inventive Engineering" Prof. Tomasz Arciszewski
- In Konferencje
http://mason.gmu.edu/~tarcisze/
"Inventive Engineering" Prof. Tomasz Arciszewski, George Mason University
1. Introduction
Domestic industrial competition, international competition and Asian challenge. Importance of inventions in the evolution of technology and in the evolution of societies. Italian Renaissance, Medici Effect and knowledge integration. Renaissance people and seven Da Vinci principles. Creative class and creative environment. Transdisciplinary knowledge: the key to engineering creativity.
2. Cognitive Psychology and Engineering Creativity
Psychological dimension of engineering creativity. Theory of Successful Intelligence. Positive Psychology. Theory of Appreciative Intelligence. Positive thinking intelligence. Science of Well-being. Well-being and engineering creativity. Fixation in engineering design.
3. Innovation Engineering
History and importance. Innovation Engineering and its main components: Inventive Engineering and Entrepreneurial Engineering. Comparison of Inventive and Entrepreneurial Engineering. Three-step process of knowledge transformation into market products: knowledge discovery in science, knowledge transformation and integration in Inventive Engineering leading to inventions and the final utilization of knowledge in the form of inventions in Entrepreneurial Engineering leading to market products. Basic concepts of Inventive Engineering and of Entrepreneurial Engineering.
4. Conceptual Design and Holistic System Architecting
Engineering system. Design process. Conceptual and detailed design. Symbolic and numerical attributes. Design solution space. Routine and inventive design. Basic models of conceptual design. Holistic analysis of a design situation leading to the development of a system architecture. Comparison of conceptual design in engineering with architecting in systems engineering.
5. Morphological Analysis
Zwicky – a modern Renaissance man. Atomists and the concept of an atom. Methodological assumptions. Problem division. Morphological table. Random solution generation. Morphological table and a design solution space. Knowledge acquisition and building a morphological table. Knowledge verification and pegging. Stochastic simulation of the Morphological Analysis using Markov Chains. Application examples in space structures and steel skeleton structures of tall buildings.
6. Brainstorming in Design
Social impact of Brainstorming. Team problem solving. Delayed judgment. Group composition and knowledge integration leading to transdisciplinary knowledge. Ping-pong and transformation of ideas. Preparation of participants and organization of a session. Computer tools, including IdeaFisher.
7. Synectics
Emergence. Brainstorming and Synectics. Team problem solving. Psychological dimension. Analogies and their place in engineering creativity. Basic types of analogies: personal, direct, symbolic, and fantastic. Springboarding. Excursions as the key to knowledge acquisition and creation of transdisciplinary knowledge. Preparation of participants. Computer tools, including MindLink.
8. TRIZ
Altshuller and the method’s history. Patents and acquisition of transdisciplinary knowledge. Physical and technical contradictions. Classification of inventive solutions. Inventive problem. Ideal solution. General description of an engineering system. Pattern elimination of contradictions and the matrix of contradictions. Examples of patterns and their use in inventive problem solving. Nine rules of evolution of engineering systems. Lines of evolution of engineering systems, envelope of lines of evolution and forecasting evolution of engineering systems while building patent fences.
9. Modern Edison System
Edison – a modern Renaissance man. System architecture: five competencies and 25 elements. Solution-centered mindset. Kaleidoscope thinking. Full spectrum engagement. Master mind collaboration. Super value creation. Edison’s System and Inventive Engineering.
10. Bio-inspiration in Inventive Design
Intellectual inspiration and acquisition of abstract knowledge from evolution processes in nature and from solutions occurring in nature. Computational inspiration. Evolution in nature and evolutionary processes in design. Fundamentals of evolutionary design. Conceptual design as an evolutionary search of the design solution space. Computer tools and their use in the inventive design of structural systems in tall buildings. Generative representations and cellular automata in inventive designing.