Adoption of digital twins in smart factories, that model real statuses of manufacturing systems
through simulation with real time actualization, are manifested in the form of increased …

Reliability assessment refers to the process of evaluating reliability of components or
systems during their lifespan or prior to their implementation. In the manufacturing industry …

Digital twins enjoy increasing interest in a diverse array of industrial sectors, such as
manufacturing, healthcare, urban planning, etc. Their usefulness depends on the robustness …

In this work, we integrate the concepts of Industry 4.0, smart manufacturing, and sustainable
manufacturing in a model that provides a conceptual framework for the study of long-term …

Modern manufacturing systems can benefit from the use of digital tools to support both short-
and long-term decisions. Meanwhile, such systems reached a high level of complexity and …

Many existing manufacturing systems still rely heavily on human workers as the backbone of
their production processes. Such systems are commonly termed labor-intensive. Develo** …

Integrating expert knowledge in data-driven Digital Twins can lead to better-informed
underlying models. Achieving systematic integration, however, remains a complex …

Industry increasingly focuses on data-driven digital twins of production lines, especially for
planning, controlling and optimising applications. However, the lack of open data on …

The recent Industry 4.0 (I4. 0) initiative has a heavy focus on enabling flexible production,
such that production systems can react dynamically and cost-effectively to respond to market …

Accurate reliability modeling of manufacturing systems results in reduced maintenance costs
and increased profits. The growing research field of data-driven reliability modeling seeks to …