Analysis of a Logistics Process Based on the Event Log
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| Titel: | Analysis of a Logistics Process Based on the Event Log |
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| Autoren: | Aneta Napieraj, Natalia Pyzik |
| Quelle: | Applied Sciences, Vol 15, Iss 16, p 8968 (2025) |
| Verlagsinformationen: | MDPI AG, 2025. |
| Publikationsjahr: | 2025 |
| Bestand: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| Schlagwörter: | process mining, process analysis, logistics process, event log, process data analysis, process mining methods, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| Beschreibung: | This article presents an analysis of a logistics process using process mining methods. Additionally, it highlights the possibilities of analyzing industrial process data using the process mining tools available in the ProM software 6.12. The paper explains what process mining is, its types and perspectives, and its potential applications in business process management. This analysis is based on an event log, while the process model is presented in the form of a Petri net. The process research was carried out using ProM software and its available tools. The dataset is characterized, and the results of the conducted studies are presented, including an analysis of the event log, process flow network analysis, and conformance checking between the model and the event log, as well as time-based, organizational, and error detection analyses. Solutions to the identified problems are proposed. In summary, this article presents an analysis of a logistics process that was generated based on system process data, and demonstrates the possibilities of using selected algorithms from the ProM software. |
| Publikationsart: | article |
| Dateibeschreibung: | electronic resource |
| Sprache: | English |
| ISSN: | 2076-3417 |
| Relation: | https://www.mdpi.com/2076-3417/15/16/8968; https://doaj.org/toc/2076-3417 |
| DOI: | 10.3390/app15168968 |
| Zugangs-URL: | https://doaj.org/article/a202ffcd33fa4ab7a899af224531e6f0 |
| Dokumentencode: | edsdoj.202ffcd33fa4ab7a899af224531e6f0 |
| Datenbank: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstract: | This article presents an analysis of a logistics process using process mining methods. Additionally, it highlights the possibilities of analyzing industrial process data using the process mining tools available in the ProM software 6.12. The paper explains what process mining is, its types and perspectives, and its potential applications in business process management. This analysis is based on an event log, while the process model is presented in the form of a Petri net. The process research was carried out using ProM software and its available tools. The dataset is characterized, and the results of the conducted studies are presented, including an analysis of the event log, process flow network analysis, and conformance checking between the model and the event log, as well as time-based, organizational, and error detection analyses. Solutions to the identified problems are proposed. In summary, this article presents an analysis of a logistics process that was generated based on system process data, and demonstrates the possibilities of using selected algorithms from the ProM software. |
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| ISSN: | 20763417 |
| DOI: | 10.3390/app15168968 |