Data-Driven Engineering Design

Ang Liu, Yuchen Wang, Xingzhi Wang

Research output: Book/Report/Edited volumeBookpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
PublisherSpringer International Publishing
Number of pages197
ISBN (Electronic)9783030881818
ISBN (Print)9783030881801
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

Keywords

  • Big Data
  • Data Science
  • Data-Driven Design
  • Design Methodology
  • Engineering Design
  • Product Development
  • Product Service System
  • Smart Product

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