OPTIMIZATION OF BUSINESS PROCESSES OF AN ENTERPRISE BASED ON BPMN MODELS
Abstract
This paper focuses on examining techniques for enhancing enterprise business activities through BPMN notation. Employing BPMN drawing offers a clear visual depiction of procedures, enables pinpointing constraints, and facilitates applying system refinement solutions, thus rendering the subject critically relevant for practical business administration. The objective of this piece is to explore and affirm the utility of BPMN diagrams for streamlining company operations, formulate a procedure for their betterment, and evaluate the effect of introduced alterations on the output, caliber, and clarity of process functions. Research methods: process modeling (BPMN), methods for identifying business process inefficiencies, integration with digital tools (BPMS, RPA, process simulation), comparative analysis of key performance indicators (KPI), systematization and generalization of results. The conceptual tenets for enhancing corporate operational flows within the BPM framework are revealed. A procedure for refining business processes situated on BPMN representations throughout the BPM cycle is formulated. Methods for identifying business process inefficiencies using BPMN (bottlenecks, duplication of operations, unnecessary transitions) are determined. The possibilities of integrating BPMN models with digital optimization tools (process simulation, RPA, BPMS) are investigated. AS-IS and TO-BE BPMN models for the raw material supply process are built. An assessment of the optimization efficiency is given based on a comparative analysis of key performance indicators before and after the implementation of changes. Actionable suggestions are developed regarding the utilization of BPMN diagrams to enhance the enterprise's business operations. The practical worth of the piece rests on the premise that its findings enable organizations to efficiently streamline workflows through BPMN modeling and electronic instruments, such as BPMS, RPA, and process simulation. The proposed algorithms, methods for identifying inefficiencies and practical recommendations make it possible to increase the speed of process execution, reduce costs, reduce errors and ensure transparency and control of the enterprise's activities.
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Mursyada A. (2024) The Role of Business Process Modeling Notation in Process Improvement: A Critical Review. Advanced Qualitative Research, vol. 2(1), рр. 41–56. DOI: https://doi.org/10.31098/aqr.v2i1.2165.
Skouti T., Seiger R., Furrer F. J., Strahringer S. (2024) RBPMN: the value of roles for business process modeling. Software and Systems Modeling, vol. 23, рр.1375–1406. Available at: https://doi.org/10.1007/s10270-024-01202-z (accessed January 02, 2026).
Cimino A., Filice A. Ch., Longo F., Mirabelli G., Solina V., Mallek-Daclin S., Daclin N., Zacharewicz G. (2025) Evolution of BPMN and Simulation Integration: Trends, Challenges, and Future Directions. Procedia Computer Science, vol. 253, рр. 3235-3246. Available at: https://doi.org/10.1016/j.procs.2025.02.048 (accessed January 02, 2026).
Weinzierl S., Zilker S., Dunzer S., Matzner M. (2024) Machine learning in business process management: A systematic literature review. arXiv:2405.16396. Available at: https://doi.org/10.48550/arXiv.2405.16396 (accessed January 02, 2026).
Schüler S. i Alpers S. (2024) State of the Art: Automatic Generation of Business Process Models. Lecture Notes in Business Information Processing. In book: Business Process Management Workshops, pp.161-173. DOI:10.1007/978-3-031-50974-2_13.
Liu Ch. G. (2025) Supporting Long-term Transactions in Smart Contracts Generated from Business Process Model and Notation (BPMN) Models. Computer Science > Software Engineering. Available at: https://doi.org/10.48550/arXiv.2505.24309 (accessed January 02, 2026).
Kräuter T., Stünkel P., Rutle A., Lamo Y., König H. (2024) BPMN Analyzer 2.0: Instantaneous, Comprehensible, and Fixable Control Flow Analysis for Realistic BPMN Models. Computer Science > Software Engineering. arXiv:2408.06028. Available at: https://doi.org/10.48550/arXiv.2408.06028 (accessed January 02, 2026).
Kourani H., Berti A., Schuster D., Aalst van der W. M.P. (2024) Process Modeling With Large Language Models. Computer Science > Software Engineering. arXiv:2403.07541. Available at: https://doi.org/10.48550/arXiv.2403.07541 (accessed January 02, 2026).
Zhang Z., Ni F., Liu J., Chen N., Zhou X. (2025) Collaborative Modeling of BPMN and HCPN: Formal Mapping and Iterative Evolution of Process Models for Scenario Changes. Information, vol. 16(4), 323. Available at: https://doi.org/10.3390/info16040323 (accessed January 02, 2026).
Khmelyarchuk M., Zhukovska S., Weigang G., Myronchuk K. (2024) BPMN Diagrams as an Essential Tool for Enhancing Business Process Management and Team Collaboration. European Research Studies Journal, vol. XXVII, Issue S2, pp. 652-682. DOI: 10.35808/ersj/3742.
Rudskyi O., Kopp A., Goncharenko T., Gamayun I. (2024) Intelligent technology for semantic completeness assessment of business process models. Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no.2 (12), рр. 56–65. DOI: https://doi.org/10.20998/2079-0023.2024.02.09.
Kopp A., Orlovskyi D., Litvinova U. (2024) Development and research of software solution for business process model correctness analysis using machine learning. Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies. no.1 (11), рр. 39–46. DOI: https://doi.org/10.20998/2079-0023.2024.01.06.
Milani F., Garcia-Banuelos L., Filipova S., Markovska, M. (2021) Modelling blockchain-based business processes: a comparative analysis of BPMN vs CMMN. Business Process Management Journal, vol. 27(2), рр. 638–657. Available at: https://doi.org/10.1108/BPMJ-06-2020-0263 (accessed January 02, 2026).
Kady C., Jalloul K., Trousset F., Yaacoub C., Akl A., Daclin N., Zacharewicz G. (2023) Addressing Business Process Deviations through the Evaluation of Alternative Pattern-Based Models. Applied Sciences, vol. 13, 7722. Available at: https://doi.org/10.3390/app13137722 (accessed January 02, 2026).
Kim D. K., Chung Y. K. (2021). R-BPMN for abstract modeling of business process patterns. Business Process Management Journal, vol. 27(5), рр.1445–1462. Available at: https://doi.org/10.1108/BPMJ-08 2020-0371 (accessed January 02, 2026).
Teixeira A.R., Ferreira J.V., Ramos A.L. (2024) Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement. Information, vol. 15, 724. Available at: https://doi.org/ 10.3390/info15110724 (accessed January 02, 2026).
Kovach J.V., Cardoso-Grilo T., Cardoso M., Kalakou S., Martins A.L. (2024) Advancing business process management lifecycle implementation through the integration of the design for Six Sigma method. Business Process Management Journal, vol. 30, рр. 341–365. Available at: https://doi.org/10.1108/BPMJ-05-2023-0333 (accessed January 02, 2026).
Szelagowski M.; Berniak-Wo´zny, J. (2024) BPM challenges, limitations and future development directions—A systematic literature review. Business Process Management Journal, vol. 30, рр. 505–557. Available at: https://doi.org/10.1108/BPMJ-06-2023-0419 (accessed January 02, 2026).
Jung R., Gundlach S., Hasselbring W. (2022) Software development processes in ocean system modeling. International Journal of Modeling, Simulation, and Scientific Computing, vol. 13(2). Available at: https://doi.org/10.1142/S1793962322300023 (accessed January 02, 2026).
Abouzid I., Bekali Y. K., Saidi R. (2022) Modelling IoT Behaviour in Supply Chain Business Processes With BPMN: A Systematic Literature Review. Journal of Ict Standardization, vol. 10(3), рр. 439–467. Available at: https://doi.org/10.13052/jicts2245-800x.1035 (accessed January 02, 2026).
Ayech H. B. H., Ghannouchi S. A., Amor E. A. E. H. (2021) Extension of the BPM lifecycle to promote the maintainability of BPMN models. Procedia Computer Science, vol. 181(1), рр.852-860. DOI:10.1016/j.procs.2021.01.239.
Nousias N., Tsakalidis G., Vergidis K. (2023) Business Process Management Lifecycles: A Synthesis of Existing Approaches Utilizing Bpmn Modelling. Business Process Management. DOI:10.2139/ssrn.4474676.
Soliman M., Oliveira Esteves O., Trevisan M., Fogliarini Segatto G. (2022) A tentative integration of value stream mapping (VSM) and BPMN for improved process mapping. Knowledge and Process Management, vol. 29(4), рр. 371–382. Available at: https://doi.org/10.1002/kpm.1729 (accessed January 02, 2026).
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