Currently, the process mining aims at an automatic extraction of process knowledge from the event logs recorded by information systems and, therefore, using these techniques it becomes possible to grasp the complex nature of industrial processes. In fact, most of the industrial processes change over time and through the process mining techniques it is possible to analyze these processes as if they were in a steady state. Starting to this concept, in this paper we provide a systematic literature review that analyzes the applications of process mining techniques in relation to the industrial context in order to highlight the importance of these new techniques in this scenario. To do the systematic literature review (SLR) we use the Tranfiled approach (2003) and we identify the most interesting papers in the sector under analysis. After that, an in-depth analysis of the selected papers was carried out.

Process Mining and Industrial Applications a Systematic Literature Review

Angelo Corallo;Mariangela Lazoi;Fabrizio Striani
2020-01-01

Abstract

Currently, the process mining aims at an automatic extraction of process knowledge from the event logs recorded by information systems and, therefore, using these techniques it becomes possible to grasp the complex nature of industrial processes. In fact, most of the industrial processes change over time and through the process mining techniques it is possible to analyze these processes as if they were in a steady state. Starting to this concept, in this paper we provide a systematic literature review that analyzes the applications of process mining techniques in relation to the industrial context in order to highlight the importance of these new techniques in this scenario. To do the systematic literature review (SLR) we use the Tranfiled approach (2003) and we identify the most interesting papers in the sector under analysis. After that, an in-depth analysis of the selected papers was carried out.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/435038
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