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Engineering Design Methods: Strategies for Product Design
TLDR
In this paper, the authors discuss the nature of design, the design process, and how to learn to design, as well as how to manage the process of designing and managing design strategies.Abstract:
About the Author. Acknowledgements. Introduction. Part One: Understanding Design. 1. The Nature of Design. Design Activities. Design Problems. Problem Structures. 2. Design Ability. What Designers Say. How Designers Think. Learning to Design. 3. The Design Process. Descriptive Models. Prescriptive Models. An Integrative Model. Part Two: Doing Design. 4. New Design Procedures. Systematic Procedures. Design Methods. Creative Methods. Rational Methods. 5. Identifying Opportunities. The User Scenarios Method. 6. Clarifying Objectives. The Objectives Tree Method. 7. Establishing Functions. The Function Analysis Method. 8. Setting Requirements. The Performance Specification Method. 9. Determining Characteristics. The Quality Function Deployment Method. 10. Generating Alternatives. The Morphological Chart Method. 11. Evaluating Alternatives. The Weighted Objectives Method. 12. Improving Details. The Value Engineering Method. Part Three: Managing Design. 13. Design Strategies. What is a Design Strategy? Frameworks for Action. Strategy Control. Setting Strategies and Choosing Tactics. 14. Product Development. Product Design. Product Planning. Product Innovation. References. Index.read more
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Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
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Describing the creative design process by the integration of engineering design and cognitive psychology literature
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The Informed Design Teaching and Learning Matrix
David Crismond,Robin Adams +1 more
TL;DR: This paper’s theoretical contribution is an emergent educational theory of informed design that identifies key performance dimensions relevant to K–16 engineering and STEM educational contexts.
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Using AHP and TOPSIS approaches in customer-driven product design process
TL;DR: A framework that integrates the analytical hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS) to assist designers in identifying customer requirements and design characteristics, and help achieve an effective evaluation of the final design solution is presented.