Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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Process Improvement for PDM/PLM Systems by Using Process Mining

프로세스 마이닝을 이용한 PDM/PLM 시스템 활용 프로세스의 효율성 개선

  • 이상일 (부산대학교 산업공학과) ;
  • 류광열 (부산대학교 산업공학과) ;
  • 송민석 (울산과학기술대학교 테크노경영학부)
  • Received : 2012.06.07
  • Accepted : 2012.07.11
  • Published : 2012.08.01
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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 ${\alpha}$-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.

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References

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