Modelling the Reliability of Logistics Flows in a Complex Production System DOI Creative Commons
Bożena Zwolińska, Jakub Wiercioch

Energies, Journal Year: 2023, Volume and Issue: 16(24), P. 8071 - 8071

Published: Dec. 14, 2023

This paper analyses the disruptions occurring in a production system determining operating states of single machine. A with convergent character, which both flows (streams) and multi-stream occur, was considered. In this paper, two-level formalisation (PS) made according to complex systems theory. The continuity analysis performed at operational level (manufacturing machine level). definition kth survival value quasi-coherence property defined on chains synchronous relations were used determine impact interruption processed material flow uninterrupted operation. developed methodology is presented terms shaping energy efficiency technical objects highest power demand (the furnace an automatic paint shop glass tempering line taken into consideration). proposed optimise consumption structures. model utilitarian nature—it can be applied any where there randomness task execution times unplanned events. considers case two mutually independent random variables duration correct operation TP breakdown TB are determined by given distribution: Gaussian Gamma family distributions (including combinations exponential Erlang distributions). formalised also stability operation, as well assess potential risk for arbitrary evaluation parameters.

Language: Английский

Hybrid predictive maintenance model – study and implementation example DOI Creative Commons
Jakub Wiercioch

Production Engineering Archives, Journal Year: 2024, Volume and Issue: 30(3), P. 285 - 295

Published: Sept. 1, 2024

Abstract In this paper, the concept of hybrid predictive maintenance for a single industrial machine is presented. A review solutions in area (especially maintenance) which have been described literature provided. The assumptions model modules, machines, or systems are methods used within developed methodology described. This includes use diagnostic data, experience, and mathematical model. case study an on system collecting diag-nostic data has pilot-implemented, using, among others, vibration sensors drive pa-rameters damage detection registered can be to precisely determine time upcoming failure after characteristic symptoms resulting from component wear addition, analysis durations correct operation events was performed indicators describing these values were determined. aforementioned determined based empirical using gamma distribution. objective research prepare, implement draw conclusions real study. presented paper enables different types (diagnostic, historical mathemat-ical model-based) scheduling downtime actions. On basis re-search conducted, it operating parameters characterised by varia-bility that failure. allows precise planning activities minimization unplanned downtime.

Language: Английский

Citations

1
Enhancing predictive maintenance in the industrial sector: A comparative analysis of machine learning models DOI
Semen Levin

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3243, P. 020035 - 020035

Published: Jan. 1, 2024

Language: Английский

Citations

1
Modelling the Prioritisation of Technical Objects Using the EPN Indicator DOI Creative Commons
Oliwia Powichrowska, Jakub Wiercioch, Bożena Zwolińska

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6170 - 6170

Published: Dec. 7, 2024

The objective of this article is to analyse and evaluate the effectiveness predictive maintenance for machines performing key functions within a production structure. This presents methodology determining Equipment Priority Number (EPN), calculated based on parameters such as energy consumption, criticality in value stream, their impact continuity supply chain. experimental implementation system monitoring operational parameters—including current vibrations, torque moments—enabled prediction potential failures planning actions, which contributed improving stability reducing risk unplanned downtime. obtained results confirm proposed demonstrate that supported by EPN indicator enables accurate prioritisation activities an actual system. findings also show implementing algorithm allows more precise highly customised environments. Furthermore, analysis collected data suggests further optimisation through integration data-driven diagnostics artificial intelligence methods, could enhance efficiency competitiveness study’s conclusions provide foundation advancing methods industrial production.

Language: Английский

Citations

0
Modelling the Reliability of Logistics Flows in a Complex Production System DOI Creative Commons
Bożena Zwolińska, Jakub Wiercioch

Energies, Journal Year: 2023, Volume and Issue: 16(24), P. 8071 - 8071

Published: Dec. 14, 2023

This paper analyses the disruptions occurring in a production system determining operating states of single machine. A with convergent character, which both flows (streams) and multi-stream occur, was considered. In this paper, two-level formalisation (PS) made according to complex systems theory. The continuity analysis performed at operational level (manufacturing machine level). definition kth survival value quasi-coherence property defined on chains synchronous relations were used determine impact interruption processed material flow uninterrupted operation. developed methodology is presented terms shaping energy efficiency technical objects highest power demand (the furnace an automatic paint shop glass tempering line taken into consideration). proposed optimise consumption structures. model utilitarian nature—it can be applied any where there randomness task execution times unplanned events. considers case two mutually independent random variables duration correct operation TP breakdown TB are determined by given distribution: Gaussian Gamma family distributions (including combinations exponential Erlang distributions). formalised also stability operation, as well assess potential risk for arbitrary evaluation parameters.

Language: Английский

Citations

1