Work

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

Year: 2020

Type: article

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.

Source: Procedia CIRP

DOI: 10.1016/j.procir.2020.05.162

Authors: Pai Zheng, Kendrik Yan Hong Lim

Institutions: Hong Kong Polytechnic University, Nanyang Technological University

Language: English

Topic: Product Development and Customization

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Nanyang Technological University