Big Data in Logistics

Authors

  • Matea Lekić
    Affiliation

    Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Trg Republike Hrvatske 14, Croatia

  • Kristijan Rogić
    Affiliation

    Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Trg Republike Hrvatske 14, Croatia

  • Adrienn Boldizsár
    Affiliation

    Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary

  • Máté Zöldy
    Affiliation

    Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary

  • Ádám Török
    Affiliation

    Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp. 3., Hungary

https://doi.org/10.3311/PPtr.14589

Abstract

With certainty, we can say that we are in the process of a new big revolution that has its name, Big Data. Though the term was devised by scientists from the area such as astronomy and genomics, Big Data is everywhere. They are both a resource and a tool whose main task is to provide information. However, as far as it can help us better understand the world around us, depending on how they are managed and who controls them, they can take us in some other direction. Although the figures that bind to Big Data can seem enormous at this time, we must be aware that the amount of what we can collect and the process is always just a fraction of the information that really exists in the world (and around it). However, from something we have to start!

Keywords:

Big Data, data collection, distribution network, supply chain

Published Online

2019-12-17

How to Cite

Lekić, M., Rogić, K., Boldizsár, A., Zöldy, M., Török, Ádám (2021) “Big Data in Logistics”, Periodica Polytechnica Transportation Engineering, 49(1), pp. 60–65. https://doi.org/10.3311/PPtr.14589

Issue

Section

Articles