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학술대회 Exploratory Data Analysis of Manufacturing Data
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저자
이지현, 이일우
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1797-1799
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952974
협약과제
22PR1300, 공장 에너지관리 시스템(FEMS) 보급형 표준 플랫폼 개발 및 실증, 이일우
초록
For the data collected from a field, exploratory data analysis is an important process that can be used for data initial investigation. This analysis technique can summarize the characteristics of the data with statistical information and also visualize so as to understand data at a glance. In the data measured at every fixed interval in a manufacturing factory, there are data such as manufacturing processes, products, facilities, and etc. We have a purpose to analyze process operations and provide insights for controlling values of the variables affecting on manufacturing process. In this paper, we describe a case study performed the exploratory analysis technique, which used timeseries process-product big data of a manufacturing field.
KSP 제안 키워드
Big Data, Case studies, Data collected, Exploratory Data Analysis, Manufacturing data, Manufacturing processes, Process operations, Statistical information, exploratory analysis