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Data-Driven Engineering Design eBook

by Ang Liu, Xingzhi Wang e Yuchen Wang
language: english
Publisher: Springer International Publishing, October of 2021 ‧
72,86€
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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.

Data-Driven Engineering Design

by Ang Liu, Xingzhi Wang e Yuchen Wang

Property Description
ISBN: 9783030881818
Publisher: Springer International Publishing
Release Date: October of 2021
Language: English
Format: eBook
File Format and Compatibility:
Collection: Engineering
Categories: eBooks in English > Art > Design and Illustration
eBooks in English > Engineering > General Engineering
EAN: 9783030881818
Acessibilidade: Ver características de acessibilidade indicadas pelo editor