Abstract
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.
| Original language | English |
|---|---|
| Publisher | Springer International Publishing |
| Number of pages | 197 |
| ISBN (Electronic) | 9783030881818 |
| ISBN (Print) | 9783030881801 |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
| Externally published | Yes |
Keywords
- Big Data
- Data Science
- Data-Driven Design
- Design Methodology
- Engineering Design
- Product Development
- Product Service System
- Smart Product
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