Abstract
The object of research in this paper is the operational business processes of a telecommunications company. To analyze the implementation of business processes, the correspondences between the processes and the elements of the organizational structure that will allow controlling the correctness of the processes are described their correspondence to real goals, objectives and performers. The use of cluster analysis as a classification method is proposed. As a result, the entire set of processes is divided into several clusters based on the indicator of the excess of the work execution time, which makes it possible to make individual decisions on the optimization of work from each cluster. The overall runtime of business processes by network planning methods is adjusted. As a result, the manager has the opportunity to assess how productive and optimal the operational activities of this company are and to make the most profitable solution option in the field of telecommunications services management. The proposed approach allows improving the efficiency of the company’s operations based on the optimization of business processes.
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References
Kryvinska N (2008) An analytical approach for the modeling of real-time services over IP network. Math Comput Simul 79(4):980–990. https://doi.org/10.1016/j.matcom.2008.02.016
Kirichenko L, Alghawli ASA, Radivilova T (2020) Generalized approach to analysis of multifractal properties from short time series. Int J Adv Comput Sci Appl 11(5):183–198. https://doi.org/10.14569/IJACSA.2020.0110527
Andersen B (2005) Biznes-protsessy. Instrumenty sovershenstvovaniya [Business processes. Improvement tools]. Standards and Quality, Moscow
Tahara K et al (2005) Comparison of “CO2 efficiency” between company and industry. J Clean Prod 13(13–14):1301–1308
Ageyev D, Ali A-A, Nameer Q (2015) Multi-period LTE RAN and services planning for operator profit maximization. In: 2015 13th international conference on the experience of designing and application of CAD systems in microelectronics (CADSM). IEEE, pp 25–27. https://doi.org/10.1109/cadsm.2015.7230786
Radivilova T, Kirichenko L, Ageyev D, Tawalbeh M, Bulakh V, Zinchenko P (2019) Intrusion detection based on machine learning using fractal properties of traffic realizations. In: 2019 IEEE international conference on advanced trends in information theory (ATIT). IEEE, Kyiv, Ukraine, pp 218–221. https://doi.org/10.1109/ATIT49449.2019.9030452
Barabash O, Shevchenko G, Dakhno N et al (2017) Information technology of targeting: optimization of decision making process in a competitive environment. Int J Intell Syst Appl 9(12):1–9. https://doi.org/10.5815/ijisa.2017.12.01
Kalmykov AV, Smidovich LS (2010) Adaptatsiya notatsii BPMN k biznes-protsessam telekommunikatsionnogo predpriyatiya [Adaptation of BPMN notation to business processes of a telecommunication enterprise]. System technologies. Regional intercollegiate collection of scientific papers. Dnepropetrovsk, vol 5, pp 106–118
Leszek AM (2002) Analiz trebovaniy i proyektirovaniye sistem s ispol’zovaniyem UML [Requirements analysis and system design using UML]. Williams, Moscow
Galkin G (2004) Pokazateli effektivnosti biznes-protsessov [Indicators of the effectiveness of business processes]. Intell Enterp Corp Syst 21(107):50–59
TMF eTOM model. http://www.tmforum.org/BestPracticesStandars/BusinessProcessFramework/6637/Home.html
Laguna M, Marklund J (2018) Business process modeling, simulation and design. Chapman and Hall/CRC, New York
Nerush VB, Kurdecha VV (2012) Imitatsiyne modelyuvannya system ta protsesiv [Simulation of systems and processes]. National Technical University of Ukraine “KPI”, p 115
Scheer A-W (2012) ARIS—business process modeling. Springer, Berlin, Heidelberg
Kryvinska N (2010) Converged network service architecture: a platform for integrated services delivery and interworking. Electronic business series, vol 2. International Academic Publishers, Peter Lang Publishing Group
Mukhin V, Kuchuk N, Kosenko N, Artiukh R, Yelizyeva A, Maleyeva O, Kuchuk H (2020) Decomposition method for synthesizing the computer system architecture. In: Advances in intelligent systems and computing, vol 938. Springer, Cham, pp 298–300. https://doi.org/10.1007/978-3-030-16621-2_27
Kosenko V, Persiyanova E, Belotskyy O, Maleyeva O (2017) Methods of managing traffic distribution in information and communication networks of critical infrastructure systems. Innov Technol Sci Solut Ind 2(2):48–55. https://doi.org/10.30837/2522-9818.2017.2.048
Kulik IYu, Smidovich LS, Maleeva OV (2012) Imitatsionnoye modelirovaniye biz-nes-protsessov telekommunikatsionnoy kompanii [Simulation modeling of a business of a telecommunication company]. Radioelectron Comput Syst 3:167–172
Kosenko V, Maleyeva O, Persiyanova E, Rogovyi A (2017) Analysis of information-telecommunication network risk based on cognitive maps and cause-effect diagram. Adv Inf Syst 1(1):49–56. https://doi.org/10.20998/2522-9052.2017.1.09
Davydovsky Yu, Reva O, Malyeyeva O (2018) Method of modeling the parameters of data communication network for its upgrading. Innov Technol Sci Solut Ind 4(6):15–22. https://doi.org/10.30837/2522-9818.2018.6.015
Parzhin Yu, Kosenko V, Podorozhniak A, Malyeyeva O, Timofeyev V (2020) Detector neural network vs connectionist ANNs. Neurocomputing 414:191–203. https://doi.org/10.1016/j.neucom.2020.07.025
Zhambiu M (1988) Iyerarkhicheskiy klaster-analiz i sootvetstviya [Hierarchical cluster analysis and compliance]. Finance and Statistics, Moscow
Kanunnikov G. SPU—Sozdaniye setevykh grafikov [SPU—Creating Networks]. http://motosnz.narod.ru/spu.htm
Novitsky NI (2004) Setevoye planirovaniye i upravleniye proizvodstvom [Network planning and production management]. «Novoye znaniye», Moscow
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Malyeyeva, O., Kosenko, V., Parzhyn, Y., Nevliudova, V. (2021). Statistical Analysis and Optimization of Telecommunications Company Operating Business Processes. In: Ageyev, D., Radivilova, T., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-71892-3_17
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