The usage of RFID technology using Big Data in logistics processess

Authors

  • Zbigniew Łukasik Kazimierz Pulaski University of Technology and Humanities in Radom
  • Bartłomiej Ulatowski Kazimierz Pulaski University of Technology and Humanities in Radom
  • Łukasz Łukasik Transport Technical Supervision

DOI:

https://doi.org/10.24136/atest.2018.497

Keywords:

RFID, logistics, big data, databases

Abstract

The following article shows how to use large data sets using logistic data using radio frequency identification (RFID) technology. First of all, the so-called RFID-Cuboids processors are introduced to create a data warehouse so that logistics data managed via RFID technology can be highly integrated in terms of specific logic and operations. Second, the tables are used to combine r data to increase information quality and reduce the data set volume.

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References

Zhong R. Y., Huang G. Q., Lan S., Dai Q. Y., Xu Ch., Zhang T., A big data approach for logistics trajectory discovery from RFID-enabled production data, China 2015

Clarke M., Big Data in Transport, The institution of Engineering and Technology, IET Sector Insights, strona internetowa: https://www.theiet.org

Łukasik Z., Kuśmińska-Fijałkowska A., Olszańska S., Podejście całościowe w planowaniu procesu transportu drogowego, Autobusy 12/2017, s. 595-599

Łukasik Z., Kuśmińska-Fijałkowska A., Olszańska S., Rola spedytora w organizacji procesu transportowego na rynku europejskim, Autobusy 6/2018, s. 919-923

Bittencourt R., Valente A. M., Lobo E., Introducing a new sup-port model for access control of road cargo vehicles at Brazilian ports through Radio Frequency Identification Technology (RFID), Revista Brasileira de Gestão Urbana (Brazilian Journal of Urban Management), 2018 set./dez., 10(3), 576-586

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Published

2018-12-31

How to Cite

Łukasik, Z., Ulatowski, B., & Łukasik, Łukasz. (2018). The usage of RFID technology using Big Data in logistics processess. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe, 19(12), 780–782. https://doi.org/10.24136/atest.2018.497

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