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PyMES: Distributed Manufacturing Execution System for Flexible Industry 4.0 Cyber-Physical Production Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00364328" target="_blank" >RIV/68407700:21730/22:00364328 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SMC53654.2022.9945350" target="_blank" >https://doi.org/10.1109/SMC53654.2022.9945350</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC53654.2022.9945350" target="_blank" >10.1109/SMC53654.2022.9945350</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PyMES: Distributed Manufacturing Execution System for Flexible Industry 4.0 Cyber-Physical Production Systems

  • Original language description

    Industry 4.0 production systems have to support flexibility in products, processes, and production resources. To meet the required level of flexibility, Industry 4.0 production systems have to be capable of interpreting and executing production plans, which consist of generic actions (such as robotic manipulations or transport of material and prod ucts). In industrial practice, Manufacturing Execution Systems (MES) together with Supervisory Control and Data Acquisition (SCADA) systems are usually responsible for such tasks. This paper proposes a new architecture of MES implemented in Python that is able to verify, interpret, and execute production plans automatically generated by an AI planner. Moreover, the proposed MES supports running in a distributed way in several instances, where each instance is able to interpret a location specific part of a production plan. All MES instances are syn chronized and the current global or partial (per each instance) production progress can be observed via HTTP/REST API. The proposed approach is demonstrated in practice on the Industry 4.0 Testbed use-case, utilized for evaluation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 IEEE International Conference on Systems, Man and Cybernetics (SMC)

  • ISBN

    978-1-6654-5258-8

  • ISSN

    1062-922X

  • e-ISSN

    2577-1655

  • Number of pages

    7

  • Pages from-to

    235-241

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    Oct 9, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article