Data-Driven Engineering Design [Hardcover]

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.- User-Generated Content Analysis for Customer Needs Elicitation.- Data-driven Conceptual Design.- Management of Constraints, Complexities, and Contradictions in the Data Era.- Blockchain-based Data-driven Smart Customisation.- Data-driven Design of Smart Product.- Data-driven Smart Product Service System.- Digital Twin for Data-driven Engineering Design.- Enabling Technologies of Data-driven Engineering Design.

Dr. Ang Liu is an Associate Professor of Engineering Design at the School of Mechanical and Manufacturing Engineering, University of New South Wales, Australia. He received his M.S. and Ph.D. degrees from the University of Southern California, in 2008 and 2012, respectively. He is an Associate Member of the International Academy for Production Engineering (CIRP), Fellow of the PLuS AllianclãX