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Data-Driven Engineering Design (Hardcover, 1st ed. 2022) Loot Price: R1,492
Discovery Miles 14 920
You Save: R95 (6%)
Data-Driven Engineering Design (Hardcover, 1st ed. 2022): Ang Liu, Yu-Chen Wang, Xingzhi Wang

Data-Driven Engineering Design (Hardcover, 1st ed. 2022)

Ang Liu, Yu-Chen Wang, Xingzhi Wang

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List price R1,587 Loot Price R1,492 Discovery Miles 14 920 | Repayment Terms: R140 pm x 12* You Save R95 (6%)

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: October 2021
First published: 2022
Authors: Ang Liu • Yu-Chen Wang • Xingzhi Wang
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 197
Edition: 1st ed. 2022
ISBN-13: 978-3-03-088180-1
Categories: Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD)
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
Books > Computing & IT > Applications of computing > Databases > General
LSN: 3-03-088180-6
Barcode: 9783030881801

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