Data-Driven Engineering Design (Paperback)
Paperback 208 pages English Oct 10, 2022
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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, 2022
- Number of pages:
- 208 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 3030881830
- ISBN-13:
- 9783030881832