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

Pai Zheng; Kendrik Yan Hong Lim

doi:10.1016/j.procir.2020.05.162

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

Pai Zheng, Kendrik Yan Hong Lim

Research output: Journal article publication › Conference article › Academic research › peer-review

21 Citations (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 language	English
Pages (from-to)	246-250
Number of pages	5
Journal	Procedia CIRP
Volume	93
DOIs	https://doi.org/10.1016/j.procir.2020.05.162
Publication status	Published - 22 Sept 2020
Event	53rd CIRP Conference on Manufacturing Systems, CMS 2020 - Chicago, United States Duration: 1 Jul 2020 → 3 Jul 2020

Keywords

Design optimization
Digital twin
Product family design
Servitization

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

More information

10.1016/j.procir.2020.05.162

http://hdl.handle.net/10397/89040

Cite this

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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.",

keywords = "Design optimization, Digital twin, Product family design, Servitization",

author = "Pai Zheng and {Hong Lim}, {Kendrik Yan}",

note = "Funding Information: The authors would like to acknowledge the financial support from the Start-up und fF or New Recruits (1-BE2X, Project ID: P0031040) at the Hong Kong Polytechnic University, HKSAR, China, and the professional advice of Prof. Cai Yiyu from Nanyang Technological University, Singapore. Publisher Copyright: {\textcopyright} 2020 The Authors. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 53rd CIRP Conference on Manufacturing Systems, CMS 2020 ; Conference date: 01-07-2020 Through 03-07-2020",

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AU - Hong Lim, Kendrik Yan

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PY - 2020/9/22

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N2 - 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.

AB - 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.

KW - Design optimization

KW - Digital twin

KW - Product family design

KW - Servitization

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U2 - 10.1016/j.procir.2020.05.162

DO - 10.1016/j.procir.2020.05.162

M3 - Conference article

AN - SCOPUS:85092438819

SN - 2212-8271

VL - 93

SP - 246

EP - 250

JO - Procedia CIRP

JF - Procedia CIRP

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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