Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00346496" target="_blank" >RIV/68407700:21730/21:00346496 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/TASE.2020.3018402" target="_blank" >https://doi.org/10.1109/TASE.2020.3018402</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASE.2020.3018402" target="_blank" >10.1109/TASE.2020.3018402</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
Popis výsledku v původním jazyce
Industry 4.0 production systems must support flexibility in various dimensions, such as for the products to be produced, for the production processes to be applied, and for the available machinery. In this article, we present a novel approach to design and control smart manufacturing systems. The approach is reactive, that is responds to unplanned situations and implements an iterative refinement technique, that is, optimizes itself during runtime to better accommodate production goals. For realizing these advances, we present a model-driven methodology and we provide a prototypical implementation of such a production system. In particular, we employ Planning Domain Definition Language (PDDL) as our artificial intelligence environment for automated planning of production processes and combine it with one of the most prominent Industry 4.0 standards for the fundamental production system model: IEC 62264. We show how to plan the assembly of small trucks from available components and how to assign specific production operations to available production resources, including robotic manipulators and transportation system shuttles. Results of the evaluation indicate that the presented approach is feasible and that it is able to significantly strengthen the flexibility of production systems during runtime.
Název v anglickém jazyce
Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
Popis výsledku anglicky
Industry 4.0 production systems must support flexibility in various dimensions, such as for the products to be produced, for the production processes to be applied, and for the available machinery. In this article, we present a novel approach to design and control smart manufacturing systems. The approach is reactive, that is responds to unplanned situations and implements an iterative refinement technique, that is, optimizes itself during runtime to better accommodate production goals. For realizing these advances, we present a model-driven methodology and we provide a prototypical implementation of such a production system. In particular, we employ Planning Domain Definition Language (PDDL) as our artificial intelligence environment for automated planning of production processes and combine it with one of the most prominent Industry 4.0 standards for the fundamental production system model: IEC 62264. We show how to plan the assembly of small trucks from available components and how to assign specific production operations to available production resources, including robotic manipulators and transportation system shuttles. Results of the evaluation indicate that the presented approach is feasible and that it is able to significantly strengthen the flexibility of production systems during runtime.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Klastr 4.0 - Metodologie systémové integrace</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN
1545-5955
e-ISSN
1558-3783
Svazek periodika
18
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
230-243
Kód UT WoS článku
000607379700022
EID výsledku v databázi Scopus
2-s2.0-85099384059