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Data-Driven Engineering Design (Hardcover, 1st ed. 2022): Ang Liu, Yu-Chen Wang, Xingzhi Wang Data-Driven Engineering Design (Hardcover, 1st ed. 2022)
Ang Liu, Yu-Chen Wang, Xingzhi Wang
R1,778 Discovery Miles 17 780 Ships in 12 - 17 working days

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.

Data-Driven Engineering Design (Paperback, 1st ed. 2022): Ang Liu, Yu-Chen Wang, Xingzhi Wang Data-Driven Engineering Design (Paperback, 1st ed. 2022)
Ang Liu, Yu-Chen Wang, Xingzhi Wang
R1,766 Discovery Miles 17 660 Ships in 10 - 15 working days

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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