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.