Data-driven engineering design / Ang Liu, Yuchen Wang, Xingzhi Wang.

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Data-driven engineering design / Ang Liu, Yuchen Wang, Xingzhi Wang.

9783030881818 (electronic bk.)
3030881814 (electronic bk.)
9783030881801
3030881806

Cham : Springer, [2022]

©2022

English

1 online resource : illustrations (chiefly color)

10.1007/978-3-030-88181-8 doi

TA174 .L58 2022

620/.00420285

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed October 20, 2021).

Print version: 9783030881801

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