Business process analysis of university admissions: Combining TM Forum’s eTOM framework, discrete-event simulation, and queuing theory

The increasing complexity of university admissions requires efficient, standardized processes to manage large volumes of applications and changing regulatory requirements. To address this, the paper applies the TM Forum’s Business Process Framework (eTOM) from the telecommunications industry, a stan...

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Veröffentlicht in:Discrete and continuous models and applied computational science Jg. 33; H. 2; S. 157 - 171
Hauptverfasser: Terentyev, Konstantin M., Abuzyarova, Leyla D., Kochetkova, Irina A., Samouylov, Konstantin E.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Peoples’ Friendship University of Russia (RUDN University) 15.07.2025
Schlagworte:
business process
business process framework
des
discrete-event simulation
etom
queuing network
rudn university
tm forum
university admissions
ISSN:2658-4670, 2658-7149
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Zusammenfassung:The increasing complexity of university admissions requires efficient, standardized processes to manage large volumes of applications and changing regulatory requirements. To address this, the paper applies the TM Forum’s Business Process Framework (eTOM) from the telecommunications industry, a standard for modeling and optimizing academic admissions workflows. Using RUDN University as a case study, the entire admissions process is formalized into a hierarchical model that aligns with the eTOM level 2 processes. The approach integrates discrete-event simulation (DES) and queueing network analysis, providing detailed process modeling and analytical solutions for assessing the average execution time. DES replicates the dynamic interactions between applicants and staff. Queueing analysis provides mathematical model to analyze the average execution times for each step in the process. Together, these techniques help optimize the admissions process and ensure efficient management of large volumes of applications. Through this approach, we aim to streamline processes, increase transparency, and support digital transformation efforts within universities.
ISSN:2658-4670
2658-7149
DOI:10.22363/2658-4670-2025-33-2-157-171