Synopsis
Preface. Part One: The Design Process: Properties, Paradigms and the Evolutionary Structure. 1. Introduction and Overview. 2. Design as Scientific Problem-Solving. 3. Introductory Case Studies. Part Two: Formal Design Theory (FDT). 4. Representation of Design Artifacts. 5. The Idealized Design Process. 6. Modeling the Evolutionary Design Process. 7. Guided Heuristics in Engineering Design. 8. The Measurement of a Design Structural and Functional Complexity. 9. Statistical Analysis of the Time Complexity Measure. Part Three: Algorithmic and Heuristic Methods for Design Decision Support. 10. Intelligent Advisory Tool for Design Decomposition. 11. Physical Design of Printed Circuit Boards: Group Technology Approach. 12. Physical Design of Printed Circuit Boards: Genetic Algorithm Approach. 13. Adaptive Learning for Successful Design. 14. Maintaining Consistency in the Design Process. 15. Constraint-Based Design of Faired Parametric Curves. 16. Creating a Consistent 3-D Virtual Last for Problems in the Shoe Industry. Part Four: Detailed Design Applications. 17. Design of a Wormgear Reducer: A Case Study. 18. Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study. 19. Maintaining Design Consistency: Examples. 20. Cases in Evolutionary Design Processes. Part Five: Practical Considerations. 21. Concluding Reflections. Index.
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