Journal of Production Engineering

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Vol. 23 No. 1 (2020)
Original Research Article

Product identification problems using Industry 4.0 technologies

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  • Lajos Tóth,
  • Umetaliev Akylbek,
  • Ákos Cservenák,
  • Tamás Bányai,
  • Béla Illés,
  • Peter Tamás
Lajos Tóth
Ten Pao Electronics Hungary Ltd., Bogáncs str. 4., 3508 Miskolc, Hungary
Umetaliev Akylbek
Kyrgyz State Technical University named I. Razzakov (KSTU), Kyrgyz- German Technical Institute, Department of Logistics, 66 Mir Avenue, Bishkek 720044, Kyrgyz Republic
Ákos Cservenák
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Logistics, 3515 Miskolc, Hungary
Tamás Bányai
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Logistics, 3515 Miskolc, Hungary
Béla Illés
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Logistics, 3515 Miskolc, Hungary
Peter Tamás
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Institute of Logistics, 3515 Miskolc, Hungary
DOI: https://doi.org/10.24867/JPE-2020-01-071

Published 2020-06-30

abstract views: 11 // FULL TEXT ARTICLE (PDF): 7


Keywords

  • RFID,
  • product identification,
  • product mixing problems,
  • Industry 4.0

How to Cite

Tóth, Lajos, Umetaliev Akylbek, Ákos Cservenák, Tamás Bányai, Béla Illés, and Peter Tamás. 2020. “Product Identification Problems Using Industry 4.0 Technologies”. Journal of Production Engineering 23 (1):71-74. https://doi.org/10.24867/JPE-2020-01-071.

Copyright (c) 2023 Journal of Production Engineering

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Industry 4.0 technologies have the potential to enhance not only the performance of manufacturing and assembly processes but also to increase the efficiency of associated logistics operations. In this article, we present a system that leverages Industry 4.0 technologies to identify product mixing issues. The identification of loading unit construction equipment and products is facilitated through the use of RFID tags. We employ an Excel format database file to store the binding matrix of the products. Additionally, we have developed software that controls our industrial IF30 RFID reader. This software also conducts a product mix detection test.

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FULL TEXT ARTICLE (PDF)