DIŠEK, Miroslav, Roman ŠPERKA and Ján KOLESÁR. Conversion of Real Data from Production Process of Automotive Company for Process Mining Analysis. In Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications. Switzerland: Springer International Publishing AG, 2017, p. 223-233. ISBN 978-3-319-59393-7.
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Basic information
Original name Conversion of Real Data from Production Process of Automotive Company for Process Mining Analysis
Authors DIŠEK, Miroslav (203 Czech Republic, belonging to the institution), Roman ŠPERKA (703 Slovakia, belonging to the institution) and Ján KOLESÁR (703 Slovakia).
Edition Switzerland, Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications. p. 223-233, 11 pp. 2017.
Publisher Springer International Publishing AG
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
WWW URL
RIV identification code RIV/47813059:19520/17:00010804
Organization unit School of Business Administration in Karvina
ISBN 978-3-319-59393-7
Keywords in English Process mining; Data cleaning; Data cleaning tools; DISCO
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:57.
Abstract
The aim of this paper is to convert the real data from the raw format from different information systems (log files) to the format, which is suitable for process mining analysis of a production process in a large automotive company. The conversion process will start with the import from several relational databases. The motivation is to use the DISCO tool for importing real pre-processed data and to conduct process mining analysis of a production process. DISCO generates process models from imported data in a comprehensive graphical form and provides different statistical features to analyse the process. This makes it possible to examine the production process in detail, identify bottlenecks, and streamline the process. The paper firstly presents a brief introduction of a manufacturing process in a company. Secondly, it provides a description of a conversion and pre-processing of chosen real data structures for the DISCO import. Then, it briefly describes the DISCO tool and proper format of pre-processed log file, which serves as desired input data. This data will be the main source for all consecutive operations in generated process map. Finally, it provides a sample analysis description with emphasis on one production process (process map and few statistics). To conclude, the results obtained show high demands on pre-processing of real data for suitable import format into DISCO tool and vital possibilities of process mining methods to optimize a production process in an automotive company.
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