Using neural networks to examine trending keywords in Inventory Control

Autor: Sadowski Adam, Sadowski Michał, Engelseth Per, Galar Zbigniew, Skowron-Grabowska Beata

Publikováno v: Production Engineering Archives, Vol 29, Iss 4, Pp 474-489 (2023)

Inventory control is one of the key areas of research in logistics. Using the SCOPUS database, we have processed 9,829 articles on inventory control using triangulation of statistical methods and machine learning. We have proven the usefulness of the

Externí odkaz: https://doaj.org/article/381b00196b75408a82ced4bdab4c5f37

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Big data insight on global mobility during the Covid-19 pandemic lockdown.

Autor: Sadowski A; Faculty of Economics and Sociology, Institute of Logistics and Informatics, University of Lodz, Rewolucji 1905 r. 37, 90-214 Lodz, Poland., Galar Z; Barry Callebaut SSC Europe Sp. Z O.O., Wolczanska 180, 90-530 Lodz, Poland., Walasek R; Department of Management, Jan Kochanowski University in Kielce, Zeromskiego Street 5, 25-369 Kielce, Poland., Zimon G; Department of Finance, Banking and Accounting, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959, Rzeszow, Poland., Engelseth P; Tromsø School of Business and Economics, UiT The Arctic University of Norway, Narvik Campus, Lodve Langes gate 2, 8514 Narvik, Norway.

Publikováno v: Journal of big data [J Big Data] 2021; Vol. 8 (1), pp. 78. Date of Electronic Publication: 2021 Jun 02.