IDEAS home Printed from https://ideas.repec.org/a/abx/journl/y2025id919.html
   My bibliography  Save this article

Algorithms for Controlling Industrial Robots in Food Production, Including the Processes of Serialization and Aggregation of Products

Author

Listed:
  • Ya. S. Hurskaya

Abstract

Innovations in the system of mandatory labeling of goods of various categories require changes in established production processes. Every year, there is an increase in the number of installed robotic systems. Research in the field of robotics is carried out in new areas. Production processes are modernized taking into account the requirements for serialization and aggregation. The article provides a detailed analysis and a general diagram of the technological process of manufacturing food products in the dairy industry. Production using robots and the mandatory presence of a labeling module in the process of product release are considered. The stages associated with the serialization and aggregation of group containers (boxes/pallets) are described in detail. Explanations are given for the developed control algorithm diagrams that illustrate the sequence of actions of industrial robots necessary to perform serialization and aggregation operations.

Suggested Citation

  • Ya. S. Hurskaya, 2025. "Algorithms for Controlling Industrial Robots in Food Production, Including the Processes of Serialization and Aggregation of Products," Digital Transformation, Educational Establishment “Belarusian State University of Informatics and Radioelectronicsâ€, vol. 31(1).
  • Handle: RePEc:abx:journl:y:2025:id:919
    DOI: 10.35596/1729-7648-2025-31-1-60-70
    as

    Download full text from publisher

    File URL: https://dt.bsuir.by/jour/article/viewFile/919/349
    Download Restriction: no

    File URL: https://libkey.io/10.35596/1729-7648-2025-31-1-60-70?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abx:journl:y:2025:id:919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.