[논문]스마트 팩토리의 제조 프로세스 마이닝에 관한 실증 연구

김태성

doi:10.12812/ksms.2022.24.4.149

스마트 팩토리의 제조 프로세스 마이닝에 관한 실증 연구
An Empirical Study on Manufacturing Process Mining of Smart Factory 원문보기

대한안전경영과학회지 = Journal of the Korea safety management & science, v.24 no.4, 2022년, pp.149 - 156

Abstract ▼ AI-Helper

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).

주제어

표/그림 (7)

그림 [Figure 1] Process Mining Model Source: Van der Aalst W. M. .P., “Process Mining: Discovery, Conformance and Enhancement of Business Processes”, Springer, 2011[19]
그림 [Figure 2] Eleven Features of MES Source: MESA (Manufacturing Execution System Association), www.mesa.org[7]
표 Relationship between Process Mining Function and Manufacturing Process Analysis
그림 [Figure 3] Production Process using Heuristic Mining
그림 [Figure 4] Analysis of Bottlenecks based on Petri-net
그림 [Figure 5] Equipment Network Analysis Model
그림 [Figure 6] Variance Chart of Completion Quantity of Input

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