Data-Driven Engineering Design
Author | : Ang Liu |
Publisher | : Springer Nature |
Total Pages | : 203 |
Release | : 2021-10-09 |
ISBN-10 | : 9783030881818 |
ISBN-13 | : 3030881814 |
Rating | : 4/5 (18 Downloads) |
Book excerpt: 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.