Průmyslové Inženýrství 2021: Sborník Příspěvků 2021
DOI: 10.24132/pi.2021.07927.133-149
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Training factories s principy Industry 4.0 v průmyslovém inženýrství

Abstract: Příspěvek je rešerší článků, zveřejněných hlavně v databázích Web of Science (WoS) a Scopus, zaměřených na využívání hardwarových modelů používaných pro tvorbu digitálních dvojčat, nebo např. pro ověřování nových algoritmů, optimalizaci procesů a algoritmů, vzdělávání studentů a pracovníků apod. Tyto training factories často využívají průmysloví inženýři, proto je součástí i popis průmyslového inženýrství a průmyslového inženýra včetně legislativního omezení, které má na v… Show more

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Cited by 2 publications
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“…(Faller & Feldmüller, 2015) speci cally mentions the use of different training setups. (Malaga & Ulrych, 2021) further emphasizes using hardware models, like the Fischertechnik Training Factory to create digital twins and test new algorithms. (Karre et al, 2017) underscores the importance of these learning factories in preparing workers for the future of manufacturing, which aligns with the Fischertechnik Training Factory's focus on practical, hands-on learning.…”
Section: Introductionmentioning
confidence: 99%
“…(Faller & Feldmüller, 2015) speci cally mentions the use of different training setups. (Malaga & Ulrych, 2021) further emphasizes using hardware models, like the Fischertechnik Training Factory to create digital twins and test new algorithms. (Karre et al, 2017) underscores the importance of these learning factories in preparing workers for the future of manufacturing, which aligns with the Fischertechnik Training Factory's focus on practical, hands-on learning.…”
Section: Introductionmentioning
confidence: 99%
“…Drawing insights from available literature, the characteristics of adaptive manufacturing systems (AMS) can be delineated based on criteria like autonomy, self-organization, and reconfigurability. The conventional perception of the manufacturing system as an amalgamation of manufacturing rules, as posited by prior researchers, faces limitations in practical application due to the lack of technological support at the time of formulation [29]. In light of contemporary research on self-adaptive manufacturing with digital twins, the technological advancements now offer new dimensions of real-time adaptability and sys-tem dynamics, thereby overcoming the limitations faced by traditional AMS frameworks due to previously lacking technological support [30].…”
Section: Introductionmentioning
confidence: 99%