The Digital Twin as a Core Component for Industry 4.0 Smart Production Planning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00346485" target="_blank" >RIV/68407700:21730/20:00346485 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.ifacol.2020.12.2865" target="_blank" >https://doi.org/10.1016/j.ifacol.2020.12.2865</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2020.12.2865" target="_blank" >10.1016/j.ifacol.2020.12.2865</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Digital Twin as a Core Component for Industry 4.0 Smart Production Planning

Popis výsledku v původním jazyce

Production systems that adhere the Industry 4.0 vision require new ways of control and integration of individual components, such as robots, transportation system shuttles or mobile platforms. This paper proposes a new production system control concept based on closing a feedback loop between a production planning system and a digital twin of the physical production system. The digital twin keeps up-to-date information about the current state of the physical production system and it is combined with the production planner utilizing arti_cial intelligence methods. Production recipes and concrete process instantiations are planned for each production order on-the-y, based on the production system state retrieved form the digital twin. This approach provides a high exibility in terms of ability to add and to remove products as well as production resources. It also enables error recovery by re-planning the production if some failure happens. The proposed approach is tested and evaluated on an internally hosted Industry 4.0 testbed, which con_rms its e_ciency and exibility.

Název v anglickém jazyce

The Digital Twin as a Core Component for Industry 4.0 Smart Production Planning

Popis výsledku anglicky

Production systems that adhere the Industry 4.0 vision require new ways of control and integration of individual components, such as robots, transportation system shuttles or mobile platforms. This paper proposes a new production system control concept based on closing a feedback loop between a production planning system and a digital twin of the physical production system. The digital twin keeps up-to-date information about the current state of the physical production system and it is combined with the production planner utilizing arti_cial intelligence methods. Production recipes and concrete process instantiations are planned for each production order on-the-y, based on the production system state retrieved form the digital twin. This approach provides a high exibility in terms of ability to add and to remove products as well as production resources. It also enables error recovery by re-planning the production if some failure happens. The proposed approach is tested and evaluated on an internally hosted Industry 4.0 testbed, which con_rms its e_ciency and exibility.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the IFAC World Congress 2020

ISBN

—

ISSN

2405-8963

e-ISSN

2405-8963

Počet stran výsledku

7

Strana od-do

10803-10809

Název nakladatele

IFAC

Místo vydání

Laxenburg

Místo konání akce

Berlín

Datum konání akce

11. 7. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000652593100322