This paper provides an overview of the current state-of-the-art digital twin and digital thread
technology in industrial operations. Both are transformational technologies that have the …

The digital twin (DT) incorporates measured data from the physical domain to create as-built
or as-manufactured and as-operated product models. To comprehend some implications of …

Engineered solutions are becoming more complex and multi‐disciplinary in nature. This
evolution requires new techniques to enhance design and analysis tasks that incorporate …

A design methodology for mechatronic systems is proposed, relying on an integrated
framework for engineering solutions with continuous interaction among different fields of …

As engineering applications require management of ever larger volumes of data, ontologies
offer the potential to capture, manage, and augment data with the capability for automated …

Simple Summary This paper introduces a holistic framework, underpinned by Category
Theory, for the process of conceptual modeling of complex engineered systems, generically …

To realize a holistic, model-based systems engineering approach centered on an evolving
system model one needs an Authoritative Source of Truth (AST) as part of the digital …

Digital Twins are digital representations of systems in the Internet of Things (IoT) that are
often based on AI models that are trained on data from those systems. Semantic models are …

This article discusses knowledge representation using ontologies and semantic web
technologies to enable artificial intelligence (AI) for Systems Engineering. Technology trends …

The digital thread, as a crucial technology for industrial digitization and the realization of
smart manufacturing, has garnered extensive attention and research in recent years …