Data-Driven Engineering Design

Liu, Ang; Wang, Yuchen; Wang, Xingzhi

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.

Details

Published by: Springer

Publication Date: 2021-10-10

Format: Hardcover

ISBN-13: 9783030881801

DOI: 10.1007/978-3-030-88181-8

Dimensions: 235cm x155cm

Pages: 197