Analysis of the University's Supporting Business Processes Using Process Mining Methods

Mikhail Dorrer () and Alexandra Dorrer
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Mikhail Dorrer: Reshetnev Siberian State University of Science and Technology
Alexandra Dorrer: Reshetnev Siberian State University of Science and Technology

A chapter in Digital Transformation and New Challenges, 2021, pp 43-51 from Springer

Abstract: Abstract In this work, the problem of analyzing the effectiveness of the university's supporting business process on the example of the process of preparing and issuing orders and instructions formalizing the organizational status of students at the university was solved. This business process is quite critical for the university because of its high complexity and significant legal risks that arise if the process is performed with errors. To analyze business processes, we used the Process Mining methodology and ProM software. As the initial data, we used the event log of the automated university management system for 5 years, containing 195,928 events for 9366 students. As a result of the analysis, failures and errors in the business process under study were identified, which concerned both failures in its implementation (repetitions, errors) and the organization of the provision of educational services (a high proportion of students whose learning path differs from the most rational one). Suggestions for improving the work were formulated. The results of the work testify to the high efficiency of the application of Process Mining methods to the improvement of university’s supporting business processes.

Keywords: Business-process; Process mining; Process improvement; Education (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-71397-3_4

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DOI: 10.1007/978-3-030-71397-3_4

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