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.
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