Product family design and optimization: A digital twin-enhanced approach

Pai Zheng, Kendrik Yan Hong Lim

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Complex product family design and optimization has been a major challenge in today's mass customization paradigm. Nevertheless, there is still no context-aware testbed to support it. Digital twin, as an emerging concept empowered by the cutting-edge information and communication technology, has been widely adopted to realize smart product-service systems across many sectors. Owing to its advantages of high-fidelity simulation and cyber-physical interconnectivity, a generic digital twin-driven approach is proposed to support the in-context virtual prototyping and usage condition monitoring of complex product family. A case study of tower crane family design and optimization is further exploited to validate its cost-effectiveness.

Original languageEnglish
Pages (from-to)246-250
Number of pages5
JournalProcedia CIRP
Volume93
DOIs
Publication statusPublished - 2020
Event53rd CIRP Conference on Manufacturing Systems, CMS 2020 - Chicago, United States
Duration: 1 Jul 20203 Jul 2020

Keywords

  • Design optimization
  • Digital twin
  • Product family design
  • Servitization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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