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Évf. 16 szám 1-2 (2025)
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A mesterséges intelligencia alkalmazásának lehetőségei a fenntartható ellátási láncok fejlesztésében

Megjelent:
2025-07-31
DOI Linkhttps://doi.org/10.47282/economica/2025/16/1-2/15688
Szerzők
Sarkadi Barnabás,
Buglyó-Nyakas Erzsébet,
Gál Tímea
Megtekintés
pdf
Kulcsszavak
zöld ellátási lánc logisztika mesterséges intelligencia ellátásilánc-menedzsment
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Copyright (c) 2025 Sarkadi Barnabás, Buglyó-Nyakas Erzsébet, Tímea Gál

Creative Commons License

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

Hogyan hivatkozzuk
Kiválasztott formátum: APA
Sarkadi, B., Buglyó-Nyakas, E., & Gál, T. (2025). A mesterséges intelligencia alkalmazásának lehetőségei a fenntartható ellátási láncok fejlesztésében. Economica, 16(1-2), 90-106. https://doi.org/10.47282/economica/2025/16/1-2/15688
Absztrakt

A logisztikai folyamatok egyre jelentősebb környezeti hatással járnak, amit részben a zöld logisztika ismeretének vagy prioritásának hiánya okozhat. A szállításból eredő kibocsátások, a termeléshez, raktározáshoz és anyagmozgatáshoz kapcsolódó energiafelhasználás, valamint a csomagolási hulladék mind komoly terhelést jelentenek. Ugyanakkor a környezetbarát megoldások javíthatják a vállalatok megítélését. A zöld ellátási lánc célja nemcsak a termékek eljuttatása a fogyasztóhoz, hanem a környezeti hatások csökkentése is, a hatékonyság és megbízhatóság fenntartása mellett. Az olyan fenntarthatósági stratégiák, mint a szénlábnyom mérséklése vagy az energiahatékonyság növelése, kulcsfontosságúak. A téma vizsgálatát szisztematikus irodalomelemzéssel végeztük a Web of Science adatbázis alapján (2014–2024), a PRISMA-módszertan alkalmazásával. Az eredmények szerint 2021-től előtérbe kerültek a digitális technológiák (pl. blockchain, Industry 4.0, mesterséges intelligencia), amelyek meghatározzák a zöld logisztika jövőjét és a további kutatási irányokat.

 

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