The new wave of Industry 4.0 is transforming manufacturing factories into data-rich
environments. This provides an unprecedented opportunity to feed large amount of sensing …

The new wave of Industry 4.0 is transforming manufacturing factories into data-rich
environments. This provides an unprecedented opportunity to feed large amounts of sensing …

With rapid advancements in Cyber-Physical manufacturing, the Internet of Things,
Simulation software, and Machine Learning algorithms, the applicability of Industry 4.0 is …

With advancements in automation technologies in manufacturing industries, there is an
increasing demand for realtime analytics to aid in performance prediction, production …

Current algorithms, computations, and solutions that predict how humans will engage in
smart manufacturing are insufficient for real-time activities. In this paper, a digital-twin …

Manufacturing processes are becoming increasingly digital. As this trend unfolds, many
companies often struggle to determine what they should be doing to drive and deliver real …

A digital twin refers to a virtual representation of a physical asset or system throughout its
lifecycle (Mikell and Clark 2018). It leverages the Internet of Things (IoT) to facilitate learning …

The adoption of a digital twin for a smart factory offers several advantages, such as improved
production and reduced costs, and energy consumption. Due to the growing demands of the …

Reality shows that, despite promises to facilitate the analysis of manufacturing systems, the
use of state-of-the-art tools and techniques may become a challenging effort. Reliable data …

Simulation modelling has been a widely used tool for analyzing manufacturing systems and
improving their performance. Although, little attention has been paid to the application of …