Tanel Aruväli

• PhD
• Senior Research Fellow at Free University of Bozen-Bolzano

Autonomous embedded computers that form a sensor network can be applied in various fields. In the domain of industrial manufacturing, sensor networks can be employed for detecting events or phenomena of interest at the shop floor. Sensor network nodes collect and process data, transmitting sensed and fused information either to a central database o...

Manufacturing processes monitoring is more than conventional machinery monitoring, it covers also a part quality monitoring and manual working processes monitoring. To explain it, a novel Digital Object Memory (DOMe) based model in automated surface roughness monitoring and data storage in turning is proposed. The model allows automated interaction...

Real time production monitoring systems (PMSs) is an alternative to manual data collection and captures most of the required production data without human intervention. The general objective of the current study is to analyse PMSs and to offer particular solutions for small and medium sized enterprises (SMEs). The subtasks to be solved in the case...

Modern manufacturing develops towards sharing technological capabilities in the supply chain. Thus, it is necessary to monitor the manufacturing process concerning various facilities. Detection of machinery utilization, tracking machinable parts on pallets and pauses identification can provide additional information for production planning and incr...

Learning factories are currently undergoing a transformation toward smart and sustainable production. Students can learn through practical implementation in learning factory labs how digital technologies can contribute to both increasing efficiency and ecological sustainability. The aim of this paper is to present a training concept for an IoT lab...

Digitalization and related networked systems integration and automation have increased the performance of manufacturing. At the same time, the vulnerability of the systems has increased significantly as networks are potential targets for attacks to compromise companies. Therefore, the study focuses on the functional design of cyber resiliency in cy...

Due to the spread of digitalization across every industry sector, technologies enabling digital transformation are nowadays capturing increasingly high attention. For instance, the use of Digital Twin as a real-time synchronized virtual representation of a physical system is gaining ground in many applications, particularly in the manufacturing sec...

Manufacturing companies’ preparedness level against external and internal disruptions is complex to assess due to a lack of widely recognized or standardized models. Resilience as the measure to characterize preparedness against disruptions is a concept with various numerical approaches, but still lacking in the industry standard. Therefore, the ma...

Enterprise Resource Planning (ERP) software systems have a crucial role in planning and management of manufacturing plants. The level of efficiency in ERP usage is strongly related with the architecture and hierarchy designed in its implementation. Additionally, manufacturing long term values as digital resilience should be taken as precondition in...

Machinery monitoring at the shop floor bears relevance in preventive maintenance applications and for manufacturing process optimization. As the installation of monitoring hardware directly on the machinery may be hazardous and expensive due to installation costs, the use of contactless sensors is preferable. In this paper we propose a solution for...

Nowadays situation monitoring of production machinery is key factor in achieving production efficiency. Recent production equipment has often several sensors and monitoring facilities built-in but mostly for condition monitoring of a single unit. Mostly gathered data is only available to machine manufacturer. System for online machine monitoring us...

The paper investigates in-process signal usage in turning for indirect surface roughness measurement. Based on theoretical surface roughness value and in-process signal, a model is proposed for surface roughness evaluation. Time surface roughness and in-process signal surface roughness correlation based analysis is performed to characterize tool we...

Real-time monitoring of machinery and systems at the shop floor is essential for many tasks in the manufacturing context. One of the potential application areas of machinery and system monitoring is machine utilization monitoring, which provides the source data for planning. Optimal schedule planning is a critical step in maximizing the efficiency...

Pauses in manufacturing machinery work cause loss in factory efficiency and productivity. Detection of machinery utilization and pauses identification can give additional information for production planning and increase manufacturing efficiency. Information about machinery utilization can be processed offline to analyse past situations, but it can...

Growing efficiency in shop floor depends rather to managing decisions than machining improvements. Immediate reliable information from shop floor can be achieved by monitoring with wireless sensor network (WSN). Precondition for these applications is availability of reliable monitoring models. Regarding this challenge vibration measurements were ma...

Autonomous embedded computers that form a sensor network can be applied in various fields. In the domain of industrial manufacturing sensor networks can be used for detecting events or phenomena at shopfloor, collecting and processing data and transmitting sensed information to either a central database or directly to the handheld computer used by...

Growing efficiency in shop floor depends rather on intelligent tools and managing decisions than machining improvements. Immediate reliable information from shop floor can be achieved by monitoring with wireless sensor network (WSN). Precondition for these applications is availability of reliable monitoring models. Regarding this challenge vibratio...