Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1278765

Efficient Markovian framework for digital twinning applications in production system engineering


Hadžić, Neven; Ložar, Viktor; Opetuk, Tihomir; Keser, Robert
Efficient Markovian framework for digital twinning applications in production system engineering // Proceedings of the 1st M2P conference
Taormina, Italija, 2023. str. 1-3 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)


CROSBI ID: 1278765 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Efficient Markovian framework for digital twinning applications in production system engineering

Autori
Hadžić, Neven ; Ložar, Viktor ; Opetuk, Tihomir ; Keser, Robert

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Proceedings of the 1st M2P conference / - , 2023, 1-3

Skup
Math2Product

Mjesto i datum
Taormina, Italija, 29.05.2023. - 01.06.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Markov chains ; Digital Twin ; Industry 4.0 ; Production systems

Sažetak
The advent of Industry 4.0 and digitalization of manufacturing processes stand, for more than a decade, as key enablers underpinning emerging concepts like factories of the future, the Internet of Things, Digital twinning, or Augmented and Virtual Reality. However, much work is still ahead in terms of reliable data transfer from and to physical systems as well as in terms of algorithms twinning the realistic (probabilistic) behavior of the systems and providing predictive analytics. Digital twinning, although a highly promising technology, still requires further research and development, particularly regarding efficient simulation tools yielding reliable predictive analytics of the manufacturing process. In such a context, various production systems may rely on supporting algorithms of different complexities and reliabilities that provide predictive analytics in the process background. Thus, such algorithms represent the ‘consciousness’ of production systems by which their actual behavior is mapped into digital space. Efficient algorithms are therefore a prerequisite to the existence of digital twins. Otherwise, one is dealing with a mere database that fails to meet the digital twin concept to a large extent. Hence, an efficient Markovian framework is outlined in this work with the main purpose to use it as a governing determinant when considering the digital twinning of production systems.

Izvorni jezik
Engleski

Znanstvena područja
Brodogradnja, Strojarstvo



POVEZANOST RADA


Projekti:
UIP-2019-04-6573 - Napredne metode za projektiranje profitabilnog, energetski efikasnog i okolišno prihvatljivog brodograđevnog proizvodnog procesa (ANTYARD) (Hadžić, Neven, HRZZ - 2019-04) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Tihomir Opetuk (autor)

Avatar Url Robert Keser (autor)

Avatar Url Neven Hadžić (autor)

Avatar Url Viktor Ložar (autor)


Citiraj ovu publikaciju:

Hadžić, Neven; Ložar, Viktor; Opetuk, Tihomir; Keser, Robert
Efficient Markovian framework for digital twinning applications in production system engineering // Proceedings of the 1st M2P conference
Taormina, Italija, 2023. str. 1-3 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
Hadžić, N., Ložar, V., Opetuk, T. & Keser, R. (2023) Efficient Markovian framework for digital twinning applications in production system engineering. U: Proceedings of the 1st M2P conference.
@article{article, author = {Had\v{z}i\'{c}, Neven and Lo\v{z}ar, Viktor and Opetuk, Tihomir and Keser, Robert}, year = {2023}, pages = {1-3}, keywords = {Markov chains, Digital Twin, Industry 4.0, Production systems}, title = {Efficient Markovian framework for digital twinning applications in production system engineering}, keyword = {Markov chains, Digital Twin, Industry 4.0, Production systems}, publisherplace = {Taormina, Italija} }
@article{article, author = {Had\v{z}i\'{c}, Neven and Lo\v{z}ar, Viktor and Opetuk, Tihomir and Keser, Robert}, year = {2023}, pages = {1-3}, keywords = {Markov chains, Digital Twin, Industry 4.0, Production systems}, title = {Efficient Markovian framework for digital twinning applications in production system engineering}, keyword = {Markov chains, Digital Twin, Industry 4.0, Production systems}, publisherplace = {Taormina, Italija} }




Contrast
Increase Font
Decrease Font
Dyslexic Font