Hao Zhang

TL;DR: A digital twin-driven manufacturing cyber-physical system (MCPS) for parallel controlling of smart workshop under mass individualization paradigm is presented and addresses a bi-level online intelligence in proactive decision making for the organization and operation of manufacturing resources.

TL;DR: The digital twin merges physics-based system modeling and distributed real-time process data to generate an authoritative digital design of the system at pre-production phase and a digital twin-based analytical decoupling framework is developed to provide engineering analysis capabilities and support the decision-making over the system designing and solution evaluation.

TL;DR: A digital twin-driven methodology for rapid individualised designing of the automated flow-shop manufacturing system using physics-based system modelling and distributed semi-physical simulation to provide engineering solution analysis capabilities and generates an authoritative digital design of the system at pre-production phase is presented.

TL;DR: Two key enabling technologies for enabling the customized and software-defined design of flow-type smart manufacturing systems are presented, including the generalized encapsulation of the quad-play CMCO model and the digital twin technique.

TL;DR: Current mass individualisation and service-oriented paradigm calls for high flexibility and agility in the warehouse system to adapt changes in products, so a novel digital twin-draconian system is proposed.