중소기업을 위한 제조 빅데이터 분석 플랫폼 구축
Development of a Manufacturing Big Data Analytics Platform for SMEs
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Industry 4.0과 디지털 혁신에 대처하기 위하여 중소제조기업은 빅데이터를 활용해야만 한다. 자금, 기술, 인력 등의 기본적인 인프라가 부족한 중소제조기업이 독자적으로 빅데이터 분석 환경을구축하고 운영하기가 어렵다. 본 연구의 목적은 중소기업의 빅데이터 활용을 활성화시키기 위하여 공급자 관점에서 빅데이터 분석 플랫폼을 구축하는 방안을 고찰하는 것이다. 제조 빅데이터 분석 플랫폼의 기반구조인 자원, 기술, 인력의 3요소중에서 핵심인 도메인 전문가가 컴퓨터 전문가와 협업하면서 다양한 분석을 수행할 수 있는 통합된 플랫폼 환경을 제안하였다. 구축된 빅데이터 분석 시스템의효과성 검증을 위하여 7개 중소기업을 대상으로 서비스를 제공하고 그 유용성을 검증하였다. 데이터분석가들은 이 빅데이터 플랫폼을 활용하여 통합된 환경에서 편리하게 다양한 분석을 수행하였다. 분석된 결과는 모니터링을 통해서 실시간으로 추적 및 관리되었다.
Abstract
To cope with Industry 4.0 and digital innovation, small and medium-sized manufacturers must use big data. It is difficult for small and medium-sized manufacturing companies that lack basic infrastructure such as budget, technology, and manpower to establish and operate their own big data analysis environment. The purpose of this study is to consider how to build a big data analysis platform from a supplier's perspective in order to promote the use of big data by SMEs. We proposed an integrated platform environment, in which domain experts who are the core of the three elements of manufacturing big data analytics platform, such as resources, technology, and human resources, collaborate with computer experts to perform various analysis. In order to verify the effectiveness of the established big data analysis system, we provided services to 7 SMEs and verified its usefulness. Data analysts conveniently performed various analysis in an integrated environment using this big data platform. The analyzed results were traced and managed through real time monitoring.
참고문헌 (46)
- Polkowski, Z., "Big Data Implementation In Small And Medium Enterprises In India And Poland", Scientific Bulletin-Economic Sciences, 16(3), pp.149~161 (2017)
- Coleman, S., "How can SMEs benefit from big data? Challenges and a path forward", Quality and Reliability Engineering International, 32(6), pp.2151~2164 (2016)
- Iqbal, M., "A study of big data for business growth in SMEs : Opportunities & challenges", 2018 International Conference on Computing Mathematics and Engineering Technologies(iCoMET) (2018)
- Mohd Selamat, S. A., "Big data analytics-A review of data?mining models for small and medium enterprises in the transportation sector", Wiley Interdisciplinary Reviews : Data Mining and Knowledge Discovery, 8(3), pp.e1238~ (2018)
- Sen, D., "An overview of big data for growth in SMEs", Procedia-Social and Behavioral Sciences, 235(1), pp.159~167 (2016)
- Dittert, M., "A data analytics framework for business in small and medium-sized organizations", International conference on intelligent decision technologies (2017)
- Neves, P. C., "Analysis of Big Data vendors for SMEs", International Journal of Business Information Systems, 25(4), pp.456~473 (2017)
- Vajjhala, N. R., "Big data using cloud computing-opportunities for small and medium-sized enterprises", European Journal of Economics and Business Studies, 2(1), pp.129~137 (2016)
- Peter O’Donovan, "Big data in manufacturing: a systematic mapping study", Journal of Big Data, 2(1) (2015), Springer Science and Business Media LLC[DOI]
- Tao, F., "Datadriven smart manufacturing", Journal of Manufacturing Systems, 48, pp.157~169 (2018)
- Maroufkhani, P., "Big Data Analytics and Firm Performance : A Systematic Review", Information, 10(7), pp.226~ (2019)
- 노규성, "제조실행시스템에의 빅데이터 적용방안에 대한 탐색적 연구", 디지털융복합연구, 12(1), pp.305~311 (2014), 한국디지털정책학회[DOI]
- Moonen, N., "Small Business, Big Data: An assessment framework for (big) data analytics capabilities in SMEs"
- Cho, H. B., "Smart Manufacturing Decision Based on Big Data", KEIT PD ISSUE REPORT, 17(10), pp.17~41 (2017)
- Agnieszka Radziwon, "The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions", Procedia Engineering, 69, pp.1184~1190 (2014), Elsevier BV[DOI]
- D.T. Matt, "Implementation of Lean Production in Small Sized Enterprises", Procedia CIRP, 12, pp.420~425 (2013), Elsevier BV[DOI]
- Jang, Y. J., "Use of big data technology in manufacturing", Information and Communications Magazine, 29(11), pp.30~35 (2012)
- Research on digital manufacturing innovation policy to cope with the 4th industrial revolution, "Lee, S. B.", Retrieved from Korea Electronics Technology Institute, ~ (2018)
- Cho, S. J., "Introduction of Big Data in the Manufacturing Industry", pp.6~ (2016), K-ICT Big Data Center
- Big Data Utilization for Competitiveness in the Manufacturing Industry, "Lee, H. H.", ~, pp.Issue Paper 2013-340 (2013)
- 김재성, "빅데이터 도입을 위한 중소제조공정 4M 데이터 분석", 한국데이터정보과학회지, 26(5), pp.1117~1128 (2015), 한국데이터정보과학회[DOI]
- Jihong Yan, "Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance", IEEE Access, 5, pp.23484~23491 (2017), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Jiafu Wan, "A Manufacturing Big Data Solution for Active Preventive Maintenance", IEEE Transactions on Industrial Informatics, 13(4), pp.2039~2047 (2017), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Sang M. Lee, "The quality management ecosystem for predictive maintenance in the Industry 4.0 era", International Journal of Quality Innovation, 5(1) (2019), Springer Science and Business Media LLC[DOI]
- Zhong, R. Y., "Big Data for supply chain management in the service and manufacturing sectors : Challenges, opportunities, and future perspectives", Computers & Industrial Engineering, 101, pp.572~591 (2016)[DOI]
- Bae, H. R., "Trends and Examples of Big Data Analysis for Production Operations Using Process Mining", Industrial Engineering Magazine, 22(2), pp.36~42 (2015)
- Qinglin Qi, "Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison", IEEE Access, 6, pp.3585~3593 (2018), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Wang Lidong, "Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0", International Journal of Engineering and Manufacturing, 6(4), pp.1~8 (2016), MECS Publisher[DOI]
- Kim, D. W., "Cases Study of Big Data by Sector", The Journal of Management, 34, pp.39~52 (2013)
- 전찬모, "제조 특화형 라이브러리 기반 빅데이터 분석 플랫폼 구축에 관한 연구 : 품질 문제 해결을 위한 플랫폼 구축 사례", 대한산업공학회지, 43(5), pp.380~387 (2017), 대한산업공학회[DOI]
- 구진희, "제조 공정 빅데이터 분석을 위한 플랫폼 연구", 융합정보논문지, 7(5), pp.177~182 (2017), 중소기업융합학회[DOI]
- 사공운, "스마트 팩토리를 위한 빅 데이터 기반 분석 플랫폼", 정보과학회 컴퓨팅의 실제 논문지, 24(11), pp.603~613 (2018), 한국정보과학회[DOI]
- 신승준, "스마트공장을 위한 빅데이터 애널리틱스 플랫폼 아키텍쳐 개발", 멀티미디어학회논문지, 19(8), pp.1516~1529 (2016), 한국멀티미디어학회[DOI]
- Bae, H. R., "Operational Big Data Analytics platform for Smart Factory", The Korean Journal of BigData, 1(2), pp.9~19 (2016)
- Lee, Y. H., "Big data Cloud Service for Manufacturing Process Analysis", The Korean Journal of BigData, 1(1), pp.41~51 (2016)
- Ardagna, C. A., "Big data analytics as-a-service: Issues and challenges", 2016 IEEE international conference on big data (big data) (2016)
- Bonnard, R., "A big data", analytics platform for industry 4.0implementation in SMEs, 2019, ~
- Manufacturing Renaissance Strategy Report, "Korean Association for Political Economy", ~ (2019)
- Del Vecchio, P., "Big data for open innovation in SMEs and large corporations : Trends, opportunities, and challenges", Creativity and Innovation Management, 27(1), pp.6~22 (2018)
- Moeuf, A., "The industrial management of SMEs in the era of Industry 4. 0", International Journal of Production Research, 56(3), pp.1118~1136 (2018)
- Fernandes, S., "Cloud Data Warehousing for SMEs", ICSOFT-EA 2016 (2016)
- Sezer, E., "An industry 4. 0-enabled low cost predictive maintenance approach for SMEs", 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE, 2018, ~
- 김지대, "An Empirical Analysis on the Design Strategy of Big Data System in the context of Small and Medium-Sized Manufacturing Firms", 정보화연구, 13(4), pp.521~532 (2016), 한국엔터프라이즈아키텍처학회
- 유관희, "제조 빅데이터 시스템을 위한 효과적인 시각화 기법", 한국데이터정보과학회지, 28(6), pp.1301~1311 (2017), 한국데이터정보과학회[DOI]
- 이광원, "비즈니스 모델 영역 평가에 따른 빅데이터 도입 전략 모형", 정보화연구, 14(4), pp.395~408 (2017), 한국엔터프라이즈아키텍처학회
- 임철홍, "인공지능 알고리즘 플랫폼 클라우드 서비스 연구", 정보화연구, 16(4), pp.397~403 (2019), 한국엔터프라이즈아키텍처학회[DOI]
