Process Mining Subsystem in Automotive Enterprise Quality Management System
Process Mining Subsystem in Automotive Enterprise Quality Management System
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https://orcid.org/http://orcid.org/0000-0003-4033-9730
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https://orcid.org/http://orcid.org/0000-0002-8944-6273
- New search for: Krapivka, Sergey
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https://orcid.org/http://orcid.org/0000-0001-9014-7599
- New search for: Pivneva, Svetlana
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https://orcid.org/http://orcid.org/0000-0003-2288-9915
- New search for: Bieliatynskyi, Andrii
- New search for: Breskich, Vera
- New search for: Malysheva, Elena
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https://orcid.org/http://orcid.org/0000-0003-4033-9730
- New search for: Bobrovskiy, Sergey
- Further information on Bobrovskiy, Sergey:
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https://orcid.org/http://orcid.org/0000-0002-8944-6273
- New search for: Krapivka, Sergey
- Further information on Krapivka, Sergey:
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https://orcid.org/http://orcid.org/0000-0001-9014-7599
- New search for: Pivneva, Svetlana
- Further information on Pivneva, Svetlana:
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https://orcid.org/http://orcid.org/0000-0003-2288-9915
The paper considers the advantages of process mining methods in the study of automotive enterprise production processes. The general processes structure in the automotive enterprises quality management systems and the use of process mining methods in the automotive enterprises are considered. It is proposed to supplement the quality management system of automotive industry enterprises with a processes mining subsystem. This subsystem should include modules: process selection and data preparation, process model creation and analysis, visualization tools, and process mining algorithms library. The interaction of process mining subsystem with enterprise quality management system elements and enterprise information system is shown. The sequence of actions when creating process models in the process mining subsystem and the criteria for process mining algorithms selection are considered. The possibility of using both commercial and free software products for the subsystem implementation is noted. It is concluded that the intelligent analysis of processes within the quality management system leads to a more effective automotive enterprise quality management, helps to improve business processes, increase productivity and competitiveness.
Document information
Process Mining Subsystem in Automotive Enterprise Quality Management System
Lect.Notes Mechanical Engineering
2021-11-02
10 pages
Article/Chapter (Book)
Electronic Resource
English
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