As the supply chain has an important impact on product carbon footprint (PCF), it is a crucial
issue to estimate PCF across sustainable supply chain (SSC). As the current researches …

Digital twins (DT), aiming to improve the performance of physical entities by leveraging the
virtual replica, have gained significant growth in recent years. Meanwhile, DT technology …

In the wake of the continuous deepening of the application of new generation information
technology in the manufacturing field, digital twin, as a most new active factors for smart …

Digital Twin (DT) implementation in manufacturing plants has attracted increasing attention.
Owing to advancements in the use of technologies related to Industry 4.0 pillars, such as the …

The prediction accuracy of the remaining useful life of rolling bearings is greatly affected by
the size of sample data, and it is difficult to obtain enough fault samples in practical …

A framework for creating and updating digital twins for dynamical systems from a library of
physics-based functions is proposed. The sparse Bayesian machine learning is used to …

The digital twin is currently recognized as a key technology allowing the digital
representation of a real-world system. In smart manufacturing, the digital twin enables the …

The potential of digital twin technology to generate virtual models and simulations of real
assets and processes has contributed to the widespread adoption of this technology across …

Digital twin has aroused extensive attention of international academia and industry to
support future interaction with the physical and virtual world. Although the research and …

In order to support advanced collaborations among smart products, services, users and
service providers in a smart product and service ecosystem (S-PSS), this paper proposed a …