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Author

Song, Minseok
Business Process Intelligence(BPI) Lab
Research Interests
  • Process mining

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프로세스 마이닝을 이용한 PDM/PLM 시스템 활용 프로세스의 효율성 개선

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Title
프로세스 마이닝을 이용한 PDM/PLM 시스템 활용 프로세스의 효율성 개선
Other Titles
Process Improvement for PDM/PLM Systems by Using Process Mining
Author
Lee, SangilRyu, KwangyeolSong, Minseok
Keywords
PDM; PLM; Process mining
Issue Date
201208
Publisher
한국CAD/CAM학회
Citation
한국CAD/CAM학회 논문집 , v.17, no.4, pp.294 - 302
Abstract
Process mining is a useful methodology that can be used for extracting user patterns in log files in order to discover efficient or inefficient processes in organizations. In general, it is used to find and reduce differences between pre-defined processes and actually executed processes in an organization. In this paper, we propose a method to improve processes in PDM/PLM systems based on process mining. In order to improve and detect the inefficient processes, we gathered event logs from PDM/PLM systems and derived process models using several process mining techniques such as α-algorithm mining, heuristics mining, and fuzzy miner. By comparing original process models with process mining results, it is possible to detect differences between predefined processes and real ones; thereby we can build improved process models for future application.
URI
http://scholarworks.unist.ac.kr/handle/201301/3799
ISSN
1226-0606
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