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Automation of Enterprise Business Processes Using the Method of Stochastic Modeling and WorkFlow Techniques – EPC Horbas I. M., Linnik M. S.
Horbas, Iryna M., and Linnik, Mariia S. (2021) “Automation of Enterprise Business Processes Using the Method of Stochastic Modeling and WorkFlow Techniques – EPC.” Business Inform 2:216–222. https://doi.org/10.32983/2222-4459-2021-2-216-222
Section: Economics of Enterprise
Article is written in UkrainianDownloads/views: 2 | Download article (pdf) - |
UDC 5.011.8
Abstract: The article is aimed at improving the theoretical and methodical instrumentarium for automating business processes in the context of developing a universal algorithm for optimizing and automating business processes of an enterprise using the stochastic modeling method and WorkFlow techniques – EPC. As result of the research, the authors’ approaches to defining the fundamental principles of automation of enterprise business processes are analyzed. The expediency of practical use of the stochastic modeling method and WorkFlow techniques – EPC for optimization of business processes is specified. Practical recommendations on the management of automation of business processes at the domestic enterprise using the stochastic modeling method are provided. It is proved that the use of the proposed algorithm of automation of business processes makes it possible to significantly increase the likelihood of its urgent and unimpeded implementation (in terms of the project implementation). Prospects for further research in this direction are the analysis of the problems of evaluating the efficiency of business processes of enterprise, in particular, the use of the control points method for the formation of an intra-organization system of audit for basic business processes. Specific notations of business process modeling in the context of their application in the realities of domestic doing business require additional research and analysis.
Keywords: business process, automation, optimization, stochastic modeling, work flow.
Fig.: 2. Tabl.: 1. Formulae: 2. Bibl.: 10.
Horbas Iryna M. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Management of Innovation and Investment Activities, Taras Shevchenko National University of Kyiv (60 Volodymyrska Str., Kyiv, 01033, Ukraine) Email: [email protected] Linnik Mariia S. – Masters Student, Taras Shevchenko National University of Kyiv (60 Volodymyrska Str., Kyiv, 01033, Ukraine) Email: [email protected]
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