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(Ebook) Data-Driven Engineering Design 2022nd Edition by Liu, Ang, Wang, Yuchen, Wang, Xingzhi ISBN 9783030881801, 3030881806

  • SKU: EBN-35111718
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Authors:Liu, Ang, Wang, Yuchen, Wang, Xingzhi
Pages:206 pages.
Year:2021
Editon:1st ed. 2022
Publisher:Springer
Language:english
File Size:5.29 MB
Format:pdf
ISBNS:9783030881801, 3030881806
Categories: Ebooks

Product desciption

(Ebook) Data-Driven Engineering Design 2022nd Edition by Liu, Ang, Wang, Yuchen, Wang, Xingzhi ISBN 9783030881801, 3030881806

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.
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