Conversion of Real Data from Production Process of Automotive Company for Process Mining Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F17%3A00010804" target="_blank" >RIV/47813059:19520/17:00010804 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-319-59394-4_22" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59394-4_22</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-59394-4_22" target="_blank" >10.1007/978-3-319-59394-4_22</a>

Result language

angličtina

Original language name

Conversion of Real Data from Production Process of Automotive Company for Process Mining Analysis

Original language description

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 form at 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Smart Innovation, Systems and Technologies. Agent and Multi-Agent Systems: Technologies and Applications.

ISBN

978-3-319-59393-7

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

223-233

Publisher name

Springer International Publishing AG

Place of publication

Switzerland

Event location

Vilamoura

Event date

Jun 21, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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