Abstract
The Industrial Revolution 4.0 is a trend that has a strong impact on all aspects of socio-economic life in almost all human-related fields such as finance, banking, manufacturing, back-office, etc. Robotic Process Automation (RPA) is one of the breakthrough solutions. A key advantage of RPA is that unlike previous IT transformations such as Enterprise Resource Planning, RPA does not require a massive upfront investment or a significant change to the current IT systems and processes. In fact, RPA can be implemented relatively quickly when compared to previous digital transformations, as it requires minimal capital or infrastructure. RPA can act as an additional employee that can work between the IT systems and with the back-office processes in various functions. Similarly, to humans, RPA can learn from people and copy their processes, eventually taking over the processes that humans once completed, at a much faster pace. When deploying RPA in some fields such as banking, finance, industrial production, the demand for high availability is extremely important. The paper introduces improvements to ensure this in the actual implementation of RPA in enterprise cooperative applications. The results are illustrated in two real-world examples with quantifiable effects.
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References
Vinay, K.: Robotic process automation. Am. J. Intell. Syst. 9(2), 49–53 (2019). https://doi.org/10.5923/j.ajis.20190902.01
Maalla, A.: Development prospect and application feasibility analysis of robotic process automation. In: Proceedings of the IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 2714–2717 (2019). https://doi.org/10.1109/IAEAC47372.2019.8997983
Arkadiusz, J., Jarosław, K., Natalia, B.-S.: Benefits of and obstacles to RPA implementation in accounting firms. Procedia Comput. Sci. 192, 4672–4680 (2021). ISSN: 1877-0509. https://doi.org/10.1016/j.procs.2021.09.245
Thekkethil, M.S., Shukla, V.K., Beena, F., Chopra, A.: Robotic process automation in banking and finance sector for loan processing and fraud detection. In: Proceedings of the 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 1–6 (2021). https://doi.org/10.1109/ICRITO51393.2021.9596076
Pokharkar, A.P.: Robotic process automation: concept, benefits, challenges in banking industry. IIBM’S J. Manag. Res. 4(1–2), 17–25 (2019). https://doi.org/10.33771/iibm.v4i1-2.143
Uskenbayeva, R., Kalpeyeva, Z., Satybaldiyeva, R., Moldagulova, A., Kassymova, A.: Applying of RPA in administrative processes of public administration. In: Proceedings of the IEEE 21st Conference on Business Informatics (CBI) (2019). https://doi.org/10.1109/cbi.2019.10089
Lin, S.C., Shih, L.H., Yang, D., Lin, J., Kung, J.F.: Apply RPA (robotic process automation) in semiconductor smart manufacturing. In: Proceedings of the e-Manufacturing & Design Collaboration Symposium (eMDC), pp. 1–3 (2018)
Chris, L., Damiano, B., Dave, H.: Impact of robotics, RPA and AI on the insurance industry: challenges and opportunities. J. Financ. Perspect. 4(1) (2017). https://ssrn.com/abstract=3079495
https://www.samsungsdsbiz.com/help/RPA_Client_Eng_1_6. Accessed 05 May 2022
https://mariadb.com/kb/en/what-is-mariadb-galera-cluster/. Accessed 05 May 2022
https://mariadb.com/kb/en/maxscale/. Accessed 05 May 2022
Nam, L.H., Hung, P.D.: Building a big data oriented architecture for enterprise integration. In: Luo, Y. (ed.) CDVE 2021. LNCS, vol. 12983, pp. 172–182. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88207-5_17
Hai, M.M., Hung, P.D.: Centralized access point for information system integration problems in large enterprises. In: Luo, Y. (ed.) CDVE 2020. LNCS, vol. 12341, pp. 239–248. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60816-3_27
Tae, C.M., Hung, P.D.: A collaborative web application based on incident management framework for financial system. In: Luo, Y. (ed.) CDVE 2020. LNCS, vol. 12341, pp. 289–301. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60816-3_32
Chung, N.N., Hung, P.D.: logging and monitoring system for streaming data. In: Luo, Y. (ed.) CDVE 2020. LNCS, vol. 12341, pp. 184–191. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60816-3_21
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Hung, P.D., Chuong, L.V., Diep, V.T. (2022). Improving Availability for Robotics Automation Process Deployment in Enterprise Cooperative Applications. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2022. Lecture Notes in Computer Science, vol 13492. Springer, Cham. https://doi.org/10.1007/978-3-031-16538-2_32
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