Data-Driven Engineering Design, (Hardcover)
XAF 49438
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- 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.
| Publication date | October, 2021 |
| Author | Ang Liu |
| Book format | Hardcover |
| Genre | Computing & Internet |
| Pages | 197 |
| Age group | Adult |
| Binding type | Case Binding |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Springer International Publishing |
| Educational level | College |
| Reading level | General/Trade |
| Subgenre | Industrial Design |
| Original languages | English |
| Edu focus | Engineering, Technology |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Technology & Engineering |
| Edition | 2022 Edition |
| Language | English |
| Pub date | 2021-10-10 |
| Item Weight | 2 lbs (910 grams) |
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Data-Driven Engineering Design, (Hardcover)
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