Data-Driven Engineering Design
Produktnummer:
18fc4811d17bd04b88856522a3a25979f0
| Autor: | Liu, Ang Wang, Xingzhi Wang, Yuchen |
|---|---|
| Themengebiete: | Big Data Data-Driven Design Data Science Design Methodology Engineering Design Product Development Product Service System Smart Product |
| Veröffentlichungsdatum: | 10.10.2022 |
| EAN: | 9783030881832 |
| Sprache: | Englisch |
| Seitenzahl: | 197 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
Produktinformationen "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.
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