Data-Driven Engineering Design

This book explores how data can be used to drive engineering design, presenting frameworks and case studies for conceptual design, complexity management, customization, and product service integration. It appeals to a broad audience and offers promising research questions.

\n Format: Hardback
\n Length: 197 pages
\n Publication date: 10 October 2021
\n Publisher: Springer Nature Switzerland AG
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The book delves into the emerging realm of data-driven engineering design, recognizing the pivotal role of data in the era of big data. As global manufacturers harness the power of data, this book aims to demonstrate how data can be effectively leveraged to drive the early-stage design process. By combining established design methodologies with emerging data science techniques, the book presents a comprehensive collection of theoretically sound and practically viable design frameworks. These frameworks address a wide range of critical design activities, such as conceptual design, complexity management, smart customization, smart product design, product service integration, and more.

To illustrate the practical applications of data-driven engineering design, the book includes detailed case studies that showcase the successful implementation of these frameworks in real-world scenarios. Furthermore, the book concludes with a series of promising research questions that encourage further exploration in this field.

With its broad scope, the book appeals to a diverse readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design. By embracing the power of data, this book empowers designers to create innovative and effective solutions that meet the ever-changing demands of the industry.

\n Weight: 460g\n
Dimension: 160 x 243 x 18 (mm)\n
ISBN-13: 9783030881801\n
Edition number: 1st ed. 2022\n