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portada Data-Driven Engineering Design

Data-Driven Engineering Design

Yuchen Wang (Author) · Ang Liu (Author) · Xingzhi Wang (Author) · Springer · Paperback

Data-Driven Engineering Design - Liu, Ang ; Wang, Yuchen ; Wang, Xingzhi

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Synopsis "Data-Driven Engineering Design "

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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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