Инженерное проектирование, управляемое данными ANG LIU

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.

• Autor: Ang Liu, Yuchen Wang
• Wydawnictwo: Springer
• Rok wydania: 2021
• Okładka: twarda
• Liczba stron: 197
• Wymiary: 16 x 24.3 x 1.8 cm
• Ilustracje: 51 Illustrations, color; 4 Illustrations, black and white; IX, 197 p. 55 illus., 51 illus. in color.
• Język: angielski
• ISBN: 9783030881801