Data-Driven Engineering Design

By Ang Liu, Xingzhi Wang, Yuchen Wang

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3030881830
• ISBN13: 9783030881832
• Release Date: October 2022
• Publisher: Springer
• Length: 197 Pages
• Weight: 0.66 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"