Detail publikačního výsledku

Asset Administration Shell-manufacturing processes energy optimization

BENEŠL, T.; KACZMARCZYK, V.; SÝKORA, T.; ARM, J.; DVORSKÝ, P.; HUSÁK, M.; MARCOŇ, P.; BRADÁČ, Z.

Originální název

Asset Administration Shell-manufacturing processes energy optimization

Anglický název

Asset Administration Shell-manufacturing processes energy optimization

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper deals with the issue of Asset Administration Shell (AAS), especially from the point of view of production process optimization. From the authors' point of view, Industry 4.0 brings the main advantages especially in decentralization and thus the independence of individual production machines, which will enable greater variability of production and better response to failures. The content is a description of the parts of the AAS that are closely related to production optimization, these are active submodels for autonomous negotiation, optimization (evaluation criteria), predictive maintenance and resilience. In the case of the implementation of the mentioned submodules, a robust production solution will be implemented, which is suitable for discrete piece production with direct links to the customer, who can freely configure his product. This paper provides an overview of optimization in the use of AAS and their main functions - submodules and their possible implementation and benefits for production systems. Copyight (C) 2022 The Authors.

Anglický abstrakt

The paper deals with the issue of Asset Administration Shell (AAS), especially from the point of view of production process optimization. From the authors' point of view, Industry 4.0 brings the main advantages especially in decentralization and thus the independence of individual production machines, which will enable greater variability of production and better response to failures. The content is a description of the parts of the AAS that are closely related to production optimization, these are active submodels for autonomous negotiation, optimization (evaluation criteria), predictive maintenance and resilience. In the case of the implementation of the mentioned submodules, a robust production solution will be implemented, which is suitable for discrete piece production with direct links to the customer, who can freely configure his product. This paper provides an overview of optimization in the use of AAS and their main functions - submodules and their possible implementation and benefits for production systems. Copyight (C) 2022 The Authors.

Klíčová slova

Asset Administration Shell; Industry 4.0; Optimization; Horizontal integration; Predictive maintenance; Resiliency; Autonomous production

Klíčová slova v angličtině

Asset Administration Shell; Industry 4.0; Optimization; Horizontal integration; Predictive maintenance; Resiliency; Autonomous production

Autoři

BENEŠL, T.; KACZMARCZYK, V.; SÝKORA, T.; ARM, J.; DVORSKÝ, P.; HUSÁK, M.; MARCOŇ, P.; BRADÁČ, Z.

Rok RIV

2023

Vydáno

20.05.2022

Nakladatel

ELSEVIER

Místo

AMSTERDAM

Kniha

17th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS - PDeS 2022

ISSN

2405-8963

Periodikum

IFAC-PapersOnLine

Svazek

55

Číslo

4

Stát

Spojené království Velké Británie a Severního Irska

Strany od

334

Strany do

339

Strany počet

6

URL

https://www.sciencedirect.com/science/article/pii/S2405896322003706

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT177969,
  author="Tomáš {Benešl} and Václav {Kaczmarczyk} and Tomáš {Sýkora} and Jakub {Arm} and Petr {Dvorský} and Michal {Husák} and Petr {Marcoň} and Zdeněk {Bradáč}",
  title="Asset Administration Shell-manufacturing processes energy optimization",
  booktitle="17th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS - PDeS 2022",
  year="2022",
  journal="IFAC-PapersOnLine",
  volume="55",
  number="4",
  pages="334--339",
  publisher="ELSEVIER",
  address="AMSTERDAM",
  doi="10.1016/j.ifacol.2022.06.055",
  issn="2405-8971",
  url="https://www.sciencedirect.com/science/article/pii/S2405896322003706"
}