Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Leveraging Iterative Plan Refinement for Reactive Smart Manufacturing Systems
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN
1545-5955
e-ISSN
1558-3783
Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
230-243
UT code for WoS article
000607379700022
EID of the result in the Scopus database
2-s2.0-85099384059