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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