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This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design.Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation.Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.
- Author:
- Ang Liu|Yuchen Wang|Xingzhi Wang
- Publisher:
- Springer
- Publication Date:
- Oct 10, 2021
- Number of pages:
- 197 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 3030881806
- ISBN-13:
- 9783030881801