Data-Driven Engineering Design

£54.99

Data-Driven Engineering Design

Technical design Production and industrial engineering Computer-aided design (CAD) Databases

Authors: Ang Liu, Yuchen Wang, Xingzhi Wang

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Collection: Engineering

Language: English

Published by: Springer

Published on: 9th October 2021

Format: LCP-protected ePub

Size: 30 Mb

ISBN: 9783030881818


Introduction

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.

Content and Methodology

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.

Target Audience

Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

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