Data-Driven Engineering Design

von Ang Liu, Yuchen Wang, Xingzhi Wang

197 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Technologie, allgemein Konstruktion, Entwurf
• ISBN: 9783030881832
• Sprache: Englisch
• Erscheinungsdatum: 10.10.2022
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing