Browse > Article
http://dx.doi.org/10.12812/ksms.2022.24.4.149

An Empirical Study on Manufacturing Process Mining of Smart Factory  

Taesung, Kim (School of Industrial Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of the Korea Safety Management & Science / v.24, no.4, 2022 , pp. 149-156 More about this Journal
Abstract
Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).
Keywords
Manufacturing Process Mining; Information Systems; MES; Process Data Analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 J. Bae, L. Liu, J. Caverlee, W. B. Rouse(2006), Process mining, discovery, and integration using distance measures. ICWS06, pp. 479-488.
2 J. Champy(1995), Reengineering management. New York, NY: Harper Collins Publishers.
3 M. Hammer(2010), "What is business process management?." In B. Jvom and M. Rosemann (Eds.), Handbook on business process management (pp. 3-16). Springer, Heidelberg.
4 J. Kleinberg(2003), "Burst and hierarchical structure in streams." Data Mining and Knowledge Discovery, 7(4):373-397.   DOI
5 S. Kumar, R. Harris(2004), "Improving business processes for increased operational efficiency: A case study." Journal of Manufacturing Technology Management, 15(7):662.   DOI
6 H. Luo, J. Fang, G. Q. Huang(2015), "Real-time scheduling for hybrid flow shop in ubiquitous manufacturing environment." Computers & Industrial Engineering, 84:12-23.
7 MESA(2004), MESA's next generation collaborative MES model. White Paper Number 8, Pittsburgh, USA, Manufacturing Enterprise Solutions Association (MESA).
8 H. A. Reijers, S. L. Mansar(2005), "Best practices in business process redesign: An overview and qualitative evaluation of successful redesign heuristics." OMEGA, 33(4):283.   DOI
9 S. Wang, J. Wan, D. Zhang, D. Li, C. Zhang(2016), "Towards smart factory for industry 4.0: A self-organized multi-agent system with big data based feedback and coordination." Computer Networks, 101:158-168.   DOI
10 C. Y. Kim(2020), "Process mining using log data: A case study of healthcare and e-business industry." Master's thesis, Hallym University.
11 S. Wang, J. Wan, D. Li, C. Zhang(2016), "Implementing smart factory of industry 4.0: An outlook." International Journal of Distributed Sensor Networks, 12(1):1-10.
12 P. Pijnenborg, R. H. Verhoeven, M. Firat, H. Van Laarhoven(2021), "Towards evidence-based analysis of palliative treatments for stomach and esophageal cancer patients: A process mining approach." Conference: 2021 3rd International Conference on Process Mining(ICPM). doi: 10.1109/ICPM53251.2021.9576880   DOI
13 J. Srivastava, R. Cooley, M. Deshpande, P. N. Tan(2000), "Web usage mining: Discovery and applications of usage patterns from web data." Acm Sigkdd Explorations Newsletter, 1(2):12-23. doi: 10.1145/846183.846188   DOI
14 H. A. Kim(2019), "Learning process mining techniques based on open education platforms." The Journal of the Convergence on Culture Technology(JCCT), 5(2):375-380. doi: 10.17703/JCCT.2019.5.2.375   DOI
15 N. Poggi, V. Muthusamy, D. Carrera, R. Khalaf (2013), "Business process mining from e-commerce web logs." In Business process management (pp. 65-80). Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-40176-3_7   DOI
16 S. H. Choi, G. H. Han, G. H. Lim(2013), "Analysis of a repair processes using a process mining tool." The Journal of the Korea Contents Association, 13(4):399-406. doi: 10.5392/JKCA.2013.13.04.399   DOI
17 W. M. P. Van der Aalst(2011), Process mining: Discovery, conformance and enhancement of business processes. Springer Heidelberg Dordrecht.
18 B. Y. Choi(2019), "A study on process improvement & personal data protection using process mining: Focused on a general hospital case." Master's thesis, Seoul National University of Science and Technology.
19 S. Shin, J. H. Jeon(2018), "Cause analysis of ship rework problems based on process mining." Journal of Industrial Innovation Research, 34(4):231-254.