Digital Reengineering of Business Process Models Based on their Quality Metrics
DOI:
https://doi.org/10.52575/2712-746X-2023-50-4-781-791Keywords:
business process quality metrics, forecast of anomalies in business process execution, digital reengineering, virtual map of business processesAbstract
Digital reengineering of business process models is an innovative tool for improving the efficiency of companies in modern conditions of digital transformation. Despite the available publications on this issue, the problem of automatic development of digital models of business processes is underestimated. The existing works do not fully consider the issue of technology for automatic assessment of the state of business processes, on the basis of which it would be possible to judge the need for their reengineering and elimination of deficiencies. The purpose of this study is to develop a method of digital reengineering of a business process based on their quality metrics. The authors investigated technologies for creating a virtual map of business processes, calculating the values of business process quality metrics, predicting anomalies in the execution of a business process and reconstructing a business process in automatic mode. Based on the results of the study, a method of digital reengineering of a business process using appropriate machine learning models is proposed. The obtained results contribute to the development of business process reengineering technology based on the implementation of feedback from their digital counterparts.
Acknowledgements: The study was supported by the Russian Science Foundation grant No. 23-28-00180, https://rscf.ru/project/23-28-00180/.
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Габитова Г.Ф., Хватова Т.Ю. 2020. Цифровой двойник как основа инновационного развития малых и средних предприятий автомобильной промышленности на примере Германии и России. Бизнес. Образование. Право, 3(52): 132-138. DOI 10.25683/VOLBI.2020.52.387
Сергеев Р.А. 2022. Разработка методики цифровой трансформации бизнес-процессов предприятий. Международный журнал прикладных и фундаментальных исследований, 8: 81-85. DOI 10.17513/mjpfi.13431.
Borgianni Y., Cascini G., Rotini F. 2015. Business process reengineering driven by customer value: a support for undertaking decisions under uncertainty conditions. Computers in Industry, 68: 132-147.
Budiono A., Loice R. 2012. Business process reengineering in motorcycle workshop X for business sustainability. Procedia Economics and Finance, 4: 33-43.
Dakic D., Stefanovic D., Cosic I., Lolic T., Medojevic M. 2018. Business process mining application: a literature review. Annals of DAAAM & Proceedings, 29.
Goel S., Chen V. 2008. Can business process reengineering lead to security vulnerabilities: Analyzing the reengineered process. International Journal of Production Economics, 115(1): 104-112.
Jans M., Van Der Werf J. M., Lybaert N., Vanhoof K. A. 2011. Business process mining application for internal transaction fraud mitigation. Expert Systems with Applications, 38(10): 13351-13359.
Lee C. C., Tang M., Lee C. C. 2023. Reaping digital dividends: Digital inclusive finance and high-quality development of enterprises in China. Telecommunications Policy, 47(2): 102484.
Pattanayak S., Roy S. 2015 Synergizing business process reengineering with enterprise resource planning system in capital goods industry. Procedia-Social and Behavioral Sciences, 189: 471-487.
Peng S., Jiang X., Li Y. 2023. The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints. Heliyon, 9(3).
Perez H.D., Wassick J.M., Grossmann I. E. 2022. A digital twin framework for online optimization of supply chain business processes. Computers & Chemical Engineering, 166: 107972.
Riyanto A., Primiana I.N.A., Yunizar Y., Azis Y. 2019. Digital branch: A business process reengineering in indonesian banking. Journal of Engineering Science and Technology, 14: 82-91.
Rojas E., Munoz-Gama J., Sepúlveda M., Capurro D. 2016. Process mining in healthcare: A literature review. Journal of biomedical informatics, 61: 224-236.
Sunil Kumar M., Harshitha D. 2019. Process innovation methods on business process reengineering. International Journal of Innovative Technology and Exploring Engineering, 11: 2766-2768. DOI: 10.35940/ijitee.K2244.0981119
Tao F., Sun X., Cheng J., Zhu Y., Liu W., Wang Y., Jin X. 2023. MakeTwin: A reference architecture for digital twin software platform. Chinese Journal of Aeronautics. DOI:10.1016/j.cja.2023.05.002
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