Xin Chen

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: The definitions, frameworks, major design steps, new blueprint models, key enabling technologies, design cases, and research directions of digital twins-based SMS design are presented and it is expected that this survey will shed new light on urgent industrial concerns in developing new SMSs in the Industry 4.0 era.

TL;DR: A novel digital twin-driven approach to achieving improved system performance while minimizing the overheads of the reconfiguration process by automating and rapidly optimizing it is proposed.