文章基本信息

标题：Process Mining Contributions to Discrete-event Simulation Modelling
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作者：Jadrić, Mario ; Ninčević Pašalić, Ivana ; Ćukušić, Maja 等
期刊名称：Business Systems Research
印刷版ISSN：1847-8344
电子版ISSN：1847-9375
出版年度：2020
卷号：11
期号：2
页码：51-72
DOI：10.2478/bsrj-2020-0015
出版社：Udruga za promicanje poslovne informatike
摘要：Background: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools. Recently, the links between process mining and simulation modelling have become an area of interest. Objectives: The objective of the paper was to demonstrate and assess the role of process mining results as an input for discrete-event simulation modelling, using two different datasets, one of which is considered data-poor while the other one data-rich. Methods/Approach: Statistical calculations and process maps were prepared and presented based on the event log data from two case studies (smart mobility and higher education) using a process mining tool. Then, the implications of the results across the building blocks (entities, activities, control-flows, and resources) of simulation modelling are discussed. Results: Apart from providing a rationale and the framework for simulation that is more efficient modelling based on process mining results, the paper provides contributions in the two case studies by deliberating and identifying potential research topics that could be tackled and supported by the new combined approach. Conclusions: Event logs and process mining provide valuable information and techniques that could be a useful input for simulation modelling, especially in the first steps of building discrete-event models, but also for validation purposes.
关键词：process mining; event log; simulation model; smart mobility