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Using neural networks to examine trending keywords in Inventory Control Cover

Using neural networks to examine trending keywords in Inventory Control

Production Engineering Archives
Volume 29 (2023): Issue 4 (December 2023)
By: Adam SadowskiORCID,  Michał SadowskiORCID,  Per EngelsethORCID,  Zbigniew GalarORCID and  Beata Skowron-GrabowskaORCID  
Open Access
|Oct 2023

Authors

Adam Sadowski

ORCID

adam.sadowski@uni.lodz.pl

University of Lodz, Faculty of Management, Poland

Michał Sadowski

ORCID

sadowskimichal95@gmail.com

Jagiellonian University, Faculty of Mathematics and Computer Science, Poland

Per Engelseth

ORCID

per.engelseth@uit.no

Tromso UniversityTromsø School of Business and Economics, UiT The Arctic University of Norway, Norway

Zbigniew Galar

ORCID

zbigniew.galar@gmail.com

Bayer, Al. Jerozolimskie 158 02-326 Warszawa, Poland

Beata Skowron-Grabowska

ORCID

b.skowron-grabowska@pcz.pl

Czestochowa University of Technology, Faculty of Management, Czestochowa, Poland
DOI: https://doi.org/10.30657/pea.2023.29.52 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
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Language: English
Page range: 474 - 489
Submitted on: Jun 25, 2023
Accepted on: Oct 18, 2023
Published on: Oct 27, 2023
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Inventory control,
Neural network,
GAT,
Bibliometric analysis,
Keywords
Related subjects:
Business and economics,
Business management,
Business management, other,
Engineering,
Mechanical engineering,
Production technology,
Process engineering and industrial engineering,
Materials sciences,
Materials sciences, other

© 2023 Adam Sadowski, Michał Sadowski, Per Engelseth, Zbigniew Galar, Beata Skowron-Grabowska, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.

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