| Autor: |
Merli, Matteo, Ciarapica, Filippo Emanuele, Varghese, Kishore Chalakkal, Bevilacqua, Maurizio |
| Předmět: |
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| Zdroj: |
Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9894, 14p |
| Abstrakt: |
Featured Application: The following application aims to reduce non-value-added work, with a net reduction in time and an increase in reliability through the introduction of artificial intelligence in logistics. Artificial intelligence is revolutionizing and significantly shaping the work environment. It not only presents an innovative and unique challenge, but it also creates numerous opportunities in various sectors. This study aims to examine a case of artificial intelligence use in the logistics sector, specifically the implementation of text recognition algorithms that use advanced artificial intelligence technology to perform tasks and activities typically carried out by human operators. The implementation under analysis was carried out at an Italian company in Tolentino, in the province of Macerata. The implementation of this tool focuses on the ability to autonomously read shipping notes, with the aim of simplifying the flow of information in the goods receipt phase and reducing the workload of warehouse staff. As illustrated in the following chapters, when artificial intelligence follows several trainings, technical improvements and structural changes in shipping notes, the flow is greatly simplified, significantly facilitating this logistics phase. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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