Detail publikačního výsledku

Optimization of production resources in distributed control systems

JIRSA, J.; MARCOŇ, P.

Originální název

Optimization of production resources in distributed control systems

Anglický název

Optimization of production resources in distributed control systems

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper presents the use of several production optimization algorithms in a distributed manufacturing control system based on digital twins. It deals with optimization both from the point of view of individual products and from the point of view of the whole system, in the form of supply and demand of production processes as services. The paper presents the results achieved on a simulation of a multi-agent digital twin system.

Anglický abstrakt

This paper presents the use of several production optimization algorithms in a distributed manufacturing control system based on digital twins. It deals with optimization both from the point of view of individual products and from the point of view of the whole system, in the form of supply and demand of production processes as services. The paper presents the results achieved on a simulation of a multi-agent digital twin system.

Klíčová slova

multiagent system, digital twin, optimization, Asset Administration Shell, manufacturing processes

Klíčová slova v angličtině

multiagent system, digital twin, optimization, Asset Administration Shell, manufacturing processes

Autoři

JIRSA, J.; MARCOŇ, P.

Rok RIV

2026

Vydáno

07.08.2025

Nakladatel

IEEE

Místo

Antalya, Turkiye

ISBN

979-8-3315-3562-9

Kniha

2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Strany počet

6

URL

https://ieeexplore.ieee.org/document/11166261

BibTex

@inproceedings{BUT201156,
  author="Jan {Jirsa} and Petr {Marcoň}",
  title="Optimization of production resources in distributed control systems",
  booktitle="2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)",
  year="2025",
  pages="6",
  publisher="IEEE",
  address="Antalya, Turkiye",
  doi="10.1109/ACDSA65407.2025.11166261",
  isbn="979-8-3315-3562-9",
  url="https://ieeexplore.ieee.org/document/11166261"
}