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Article . 2020 . Peer-reviewed
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Termék-azonosítási problémák kezelése Ipar 4.0 technológiák használatával

Authors: Cservenák, Ákos; Tóth, Lajos; Akylbek, Umetaliev; Bányai, Tamás; Illés, Béla László; Tamás, Péter;

Termék-azonosítási problémák kezelése Ipar 4.0 technológiák használatával

Abstract

Industry 4.0 technologies can improve not only the performance of manufacturing and assembly processes, but also the efficiency of related logistic operations can be increased. Within the frame of this article a system is shown for identifying product mixing problems using RFID technologies. Firstly, the laboratory is introduced, where the technology is used. The identification of loading unit building equipment and products is based on RFID tags. We used Excel format database file to hold the binding matrix of the products. We have developed a software that controls our industrial IF30 RFID reader. Our software performs a product mix detection test as well. The paper highlights also the future research directions.

Country
Hungary
Keywords

T2 Technology (General) / műszaki tudományok általában, QA76 Computer software / programozás

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold