Volume II: Design Concept Generation and Improvement
Buch, Englisch, 390 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-40933-1
Verlag: Springer
This volume shows how conceptual design can be approached systematically to create breakthrough products and improve existing ones under intense competition. It focuses on the fuzzy front end, where early decisions about product functions and architecture can strongly influence later competitiveness. The Innovative Design Thinking framework draws on propositional logic, Axiomatic Design Theory, and Relative Complexity Theory to make conceptual reasoning explicit, traceable, and teachable. The volume presents methods for concept formation, categorization, selection, zigzagging, root-cause diagnosis, partial redesign, and sequence management, together with human-led, AI-supported conceptual design agents and application examples. It is intended for advanced students, researchers, engineers, designers, product developers, and system architects seeking practical methods for developing logically feasible, functionally simple, physically viable, and competitive product concepts.
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
Weitere Infos & Material
Part 1: The role of conceptual design in breakthrough product development.- Conceptual design as the socio-technical bridge of breakthrough product development.- The innovative design thinking framework for conceptual design.- Part 2: Generating new design concepts to create breakthrough products.- Concept formation step: Make logical propositions to establish concept options.- Concept categorization step: Classify the functional structures of concept options.- Concept selection step: Choose a physically viable concept and refine it through zigzagging.- Part 3: Improving existing design concepts to sustain breakthrough products.- Concept improvement strategy to address root causes of non-competitive products.- Partial redesign strategy: Using TRIZ to resolve contradictions and reduce couplings.- Sequence management strategy: Using the DCS algorithm to find optimal execution sequences.- Part 4: Potential impacts of artificial intelligence on innovative conceptual design.- Large language models, design language, and agent architecture for conceptual design.- LLM-supported conceptual-design agents for concept generation and improvement.




