Implementing digital technologies and digital twins (DT) in operating industrial units is one of
the key problems in smart production. Metallurgical plants require a solution to implement in …

The noise in sensor data has a substantial impact on the reliability and accuracy of (ML)
algorithms. A comprehensive framework is proposed to analyze the effects of diverse noise …

While new production areas (greenfields) have state-of-the-art technologies for
implementing digitalization, existing production areas (brownfields) and devices must first be …

In manufacturing and assembly operations, Overall Equipment Effectiveness (OEE) is a
frequently used quantitative metric for measuring the overall productivity of a single …

Abstract Overall Equipment Effectiveness (OEE) has remained a valuable performance
indicator over the decades. Yet, methods for improving equipment effectiveness have …

Featured Application This study aims to measure and improve the effectiveness of the
multiproduct production system in the manufacturing enterprises precisely. Abstract The …

A statistical profile is a relationship between a quality characteristic (a response) and one or
more explanatory variables to characterize quality of a process or a product. Monitoring …

Cyber-Physical Production Systems (CPPS) play a vital role in realizing the vision of Industry
4.0. In the last decade, various machine learning methods have been implemented in …

Changeover events occur in every industrial production when a machine is prepared and
setup for production of the next product variant. Changeover times must be acquired with a …

Changeover times are an important element when evaluating the Overall Equipment
Effectiveness (OEE) of a production machine. The article presents a machine learning (ML) …