빅데이터 분석 플랫폼을 이용한 생산 프로세스 개선

Abstract

Since the rapid development of ICT technology after the third industrial Revolution, the information revolution, the growing interest in the convergence of traditional industries, such as manufacturing, has been actively conducting research on manufacturing and ICT convergence, beginning with Germany's industry 4.0. This lowers the manufacturing cost of traditional manufacturing and enables the expectation of quality improvement. The recent government Manufacturing 3.0 strategy has driven the high degree of manufacturing in the country, and in keeping with this trend, we are developing an analytical platform for big data on the production site of the manufacturing industry and we want to increase the competitiveness of manufacturing sites. The Big data analytics platform for improving production processes is designed to leverage the open source needed for big data analysis, develop on a scalable framework basis, and design a user interface that can run on a variety of devices. Distributed processing systems and distributed file systems were used to quickly process large amounts of data occurring in the manufacturing site. By processing real-time streamed data through process mining-based algorithms and analyzing plant status, we are able to identify problems in the field and support rapid decision making to improve the production process, which can be expected to increase the production efficiency of real enterprises.