Implementation of RPA Bots in Cold Supply Chain Logistics
- 作者: Medvedev A.V.1, Medvedev A.A.1, Kireychenkov N.S.1
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隶属关系:
- Russian Biotechnological University (ROSBIOTECH)
- 期: 卷 11, 编号 2 (2024)
- 页面: 35-42
- 栏目: SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS
- URL: https://journals.eco-vector.com/2313-223X/article/view/635818
- DOI: https://doi.org/10.33693/2313-223X-2024-11-2-35-42
- EDN: https://elibrary.ru/MMOQKQ
- ID: 635818
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详细
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.
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作者简介
Alexander Medvedev
Russian Biotechnological University (ROSBIOTECH)
编辑信件的主要联系方式.
Email: medvedevav@mgupp.ru
ORCID iD: 0000-0003-1918-1967
SPIN 代码: 6369-3593
Cand. Sci. (Econ.), associate professor, Department of Computer Science and Computer Engineering of Food Production
俄罗斯联邦, MoscowArtem Medvedev
Russian Biotechnological University (ROSBIOTECH)
Email: medvedevav@mgupp.ru
ORCID iD: 0009-0001-5215-7427
SPIN 代码: 8498-0024
postgraduate student, Department of Computer Science and Computer Engineering of Food Production
俄罗斯联邦, MoscowNikita Kireychenkov
Russian Biotechnological University (ROSBIOTECH)
Email: medvedevav@mgupp.ru
ORCID iD: 0009-0001-8048-3705
Department of Computer Science and Computer Engineering of Food Production
俄罗斯联邦, Moscow参考
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