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Engineering

Mathematics & Science

Industrial Engineering

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B2B & B2C

<P>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.</P>

Data-Driven Engineering Design

DATA-DRIVEN ENGINEERING DESIGN

Duration

Duration Unit Of Measure

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Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
1: Data-Driven Engineering Design.
2: User-Generated Content Analysis for Customer Needs Elicitation.
3: Data-Driven Conceptual Design.
4: Management of Constraints, Complexities, and Contradictions in the Data Era.
5: Blockchain-Based Data-Driven Smart Customization.
6: Data-Driven Design of Smart Product.
7: Data-Driven Smart Product Service System.
8: Digital Twin for Data-Driven Engineering Design.
9: Enabling Technologies of Data-Driven Engineering Design.

Data-Driven Engineering Design.css-1p8rvzy{position:absolute;padding-left:8px;}

Data-Driven Engineering Design