Process mining and industrial applications: A systematic literature review

Published date01 July 2020
DOIhttp://doi.org/10.1002/kpm.1630
Date01 July 2020
RESEARCH ARTICLE
Process mining and industrial applications: A systematic
literature review
Angelo Corallo | Mariangela Lazoi | Fabrizio Striani
University of Salento, Lecce, Italy
Correspondence
Fabrizio Striani, University of Salento,
Lecce, Italy.
Email: fabrizio.striani@unisalento.it
Abstract
Currently, the process mining aims at an automatic extraction of process knowledge
from the event logs recorded by information systems, and, therefore, by 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 analyse these processes as if they were in a steady
state. Starting to this concept, in this paper, we provide a systematic literature review
that analyses the applications of process mining techniques in relation to the indus-
trial context in order to highlight the importance of these new techniques in this sce-
nario. To do the systematic literature review, we use the Tranfield 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.
1|INTRODUCTION
Processminingisarecentresearchdiscipline between data mining
and process modeling and analysis. The idea of process mining is
to discover, control, and improve real processes by extracting infor-
mation from event logs easily available in current information
systems.
Process mining includes process discovery, compliance control
through deviance analysis (positive or negative) from so-called best
practices, and model improvement depending on the deviances found.
Through process mining, an important link between data mining
and business process modeling and analysis is built. In fact, these
techniques allow to control, in a very strict way, the validity and reli-
ability of the information of the key processes of the company
organization.
The application of process mining techniques, therefore, are par-
ticularly suitable in an industrial context where complex products are
produced, and, therefore, the analysis of a large amount of informa-
tion is required in order to manage the development of the industrial
applications.
The goal of this paper is to provide a systematic literature review
that analyses 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.
A definition of systematic literature review is A review of a
clearly formulated question that uses systematic and explicit methods
to identify, select, and critically appraise relevant research, and to col-
lect and analyse data from the studies that are included in the review.
Statistical methods (meta-analysis) may or may not be used to analyse
and summarise the results of the included studies.
1
Using this systematic search process, we can locate studies, which
address a particular research question, as well as a systematic presen-
tation and synthesis of the characteristics and findings of the results
of this search. The criteria for inclusion and exclusion in the review
are objective, explicitly stated, and consistently implemented such
that the decision to include or exclude particular studies is clear to
readers and another researcher using the same criteria would likely
make the same decision.
Using this systematic search process, we locate the studies, which
address a particular research question, and using some criteria for
inclusion and exclusion, we will be able to include or exclude some
studies.
This paper is structured in five sections: after this brief introduc-
tion (present section), the second section is about the research
method. In this section, we use the Tranfield approach (2003) to make
a systematic literature review. The third section is about the literature
review of the paper selected in the previous section; in this section,
we summarize the literature about process mining application in the
Received: 8 January 2020 Accepted: 17 January 2020
DOI: 10.1002/kpm.1630
Knowl Process Manag. 2020;27:225233. wileyonlinelibrary.com/journal/kpm © 2020 John Wiley & Sons Ltd 225

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