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http://dx.doi.org/10.7315/CADCAM.2012.294

Process Improvement for PDM/PLM Systems by Using Process Mining  

Lee, Sang-Il (Department of Industrial Engineering, Pusan Nat'l Univ.)
Ryu, Kwang-Yeol (Department of Industrial Engineering, Pusan Nat'l Univ.)
Song, Min-Seok (School of Technology Management, UNIST)
Publication Information
Korean Journal of Computational Design and Engineering / v.17, no.4, 2012 , pp. 294-302 More about this Journal
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.
Keywords
PDM; PLM; Process mining;
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Times Cited By KSCI : 2  (Citation Analysis)
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