Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in
manufacturing, along with mass customization, better quality, and improved productivity. It …

As the Industry 4.0 takes shape, human operators experience an increased complexity of
their daily tasks: they are required to be highly flexible and to demonstrate adaptive …

With the development and application of advanced technologies such as Cyber Physical
System, Internet of Things, Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud …

Abstract Machine learning (ML)(a subset of artificial intelligence that focuses on autonomous
computer knowledge gain) is actively being used across many domains, such as …

Over the last two decades, a concept called Digital Twin has evolved rapidly. Yet, there is no
unified definition of the term. Based on a literature study and an industrial case study, an …

Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide
enhanced transportation options to meet the growing demand for efficient transportation …

Abstract Contemporary Cloud Manufacturing-as-a-Service (CMaaS) platforms now promise
customers instant pricing and access to a large capacity of manufacturing nodes. However …

Cyber-physical systems are integrations of computation, networking, and physical processes
and they are increasingly finding applications in manufacturing. Cloud manufacturing …

Traceability is the ability to follow a product along its lifecycle. It ensures product safety and
quality along the supply chain, managing information generated by several players. Even …