The increasing development of the competitive market has forced organisations to make
great efforts in the processes of supply, production, and distribution to meet customer …

The analysis of process representations, such as event logs or process models, has become
a staple in the context of business process management. Insights gained from such an …

The recent development of new technologies within the Industry 4.0 revolution drives the
increased digitization of manufacturing plants. To effectively utilize the digital twins, it is …

This work is devoted to the development of a neural network method for helicopters
turboshaft engines working process thermo-gas-dynamic parameters identification. The …

Accurate reliability modeling and assessment of manufacturing systems leads to lower
maintenance costs and higher profits. However, the complexity of modern Smart …

The continuous evolution of digital technologies applied to the more traditional world of
industrial automation led to Industry 4.0, which envisions production processes subject to …

Trying to meet the demands for flexibility while achieving high productivity often leads to
highly complex production equipment, combining mechanical, electrical, and virtual …

Complex manufacturing systems produce highly engineered products with long product
cycle times and are characterized by complex production process behaviors. Ensuring the …

Reliability analysis has long been used to understand and predict system behaviors in
various industries, including manufacturing, aerospace, and energy. However, the …

Logistics processes ensure that the right product is at the right location at the right time in the
right quantity. Their efficiency is crucial to industrial operations, as they generate costs while …