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Computational nanotechnology, 2024, Volume 11, Issue 2, Pages 35–42
DOI: https://doi.org/10.33693/2313-223X-2024-11-2-35-42
(Mi cn479)
 

SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS

Implementation of rpa bots in cold supply chain logistics

A. V. Medvedev, A. A. Medvedev, N. S. Kireychenkov

Russian Biotechnological University (ROSBIOTECH)
Abstract: Due to the significant use of low-temperature logistics in the transportation of perishable goods, the demand for the cold chain has increased. To ensure delivery efficiency and reduce damage, logistics companies should monitor the status of deliveries over short time intervals. Tracking the delivery status is a time-consuming, resource-intensive, inefficient and repetitive process. Therefore, robotic Process Automation (RPA) applications have attracted the attention of practitioners in the cold chain logistics industry. By studying the workflow of cold chain logistics, this study helps to identify possible areas that require automation. As part of the case study, the performance of two automatic RPA robots used in a forwarding company to check the condition of cargo and temperature conditions was tested and evaluated. The results showed that the introduction of RPA into the workflow significantly reduces data processing time.
Keywords: RPA, cold chain, AWB, supply chains.
Document Type: Article
UDC: 004.942
Language: Russian
Citation: A. V. Medvedev, A. A. Medvedev, N. S. Kireychenkov, “Implementation of rpa bots in cold supply chain logistics”, Comp. nanotechnol., 11:2 (2024), 35–42
Citation in format AMSBIB
\Bibitem{MedMedKir24}
\by A.~V.~Medvedev, A.~A.~Medvedev, N.~S.~Kireychenkov
\paper Implementation of rpa bots in cold supply chain logistics
\jour Comp. nanotechnol.
\yr 2024
\vol 11
\issue 2
\pages 35--42
\mathnet{http://mi.mathnet.ru/cn479}
\crossref{https://doi.org/10.33693/2313-223X-2024-11-2-35-42}
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