Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2017.7.5.177

A Study on the Platform for Big Data Analysis of Manufacturing Process  

Ku, Jin-Hee (Department of Information Communication Engineering, Mokwon University)
Publication Information
Journal of Convergence for Information Technology / v.7, no.5, 2017 , pp. 177-182 More about this Journal
Abstract
As major ICT technologies such as IoT, cloud computing, and Big Data are being applied to manufacturing, smart factories are beginning to be built. The key of smart factory implementation is the ability to acquire and analyze data of the factory. Therefore, the need for a big data analysis platform is increasing. The purpose of this study is to construct a platform for big data analysis of manufacturing process and propose integrated method for analysis. The proposed platform is a RHadoop-based structure that integrates analysis tool R and Hadoop to distribute a large amount of datasets. It can store and analyze big data collected in the unit process and factory in the automation system directly in HBase, and it has overcome the limitations of RDB - based analysis. Such a platform should be developed in consideration of the unit process suitability for smart factories, and it is expected to be a guide to building IoT platforms for SMEs that intend to introduce smart factories into the manufacturing process.
Keywords
Manufacturing Process; Big Data; Platform; Internet of Things; Smart Factory;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 N. R. Lee. (2017). Smart Factory 'just started!' Technology secure is the key. EPNC. http://www.epnc.co.kr/news/articleView.html?idxno=72482
2 J. H. Jang & J. H. Jeong. (2015). The Smart Factory leading up to the Industrial Internet Revolution. LG Business Insight.
3 Ministry of Trade, Industry and Energy. (2017). Smart Manufacturing Innovation Vision 2025.
4 BLOTER. (2017). Smart Factory is not Factory Automation. BLOTER. http://www.bloter.net/archives/274222
5 S. Y. Lee. (2015). The role of IT for interacting with 'I' and the different 'you'(7) -Manufacturing as a Production Vs. Manufacturing as a Service-. LG CNS. http://blog.lgcns.com/706#footnote_link_706_1
6 S. H. Park, Y. H. Park & M. J. Lee. (2005). Statistical Process Control. Seoul : MinYoungSa.
7 Wikipedia. (2017). Process Capability Index. Wikipedia. https://ko.wikipedia.org
8 Telecommunications Technology Association. (2017). Information and communication terminology dictionary. Telecommunications Technology Association. http://terms.tta.or.kr
9 Technology and Information Promotion Agency for SMEs. (2015). Small and Medium Enterprise Technology Roadmap 2017-2019. Seoul : Technology and Information Promotion Agency for SMEs.
10 IoT Analytics GmbH. (2017). Will the industrial internet disrupt the smart factory of the future?. IOT ANALYTICS. https://iot-analytics.com/iot-market-segments-analysis/
11 S. Makoto. (2013). The Impact of Big Data. Korea : HANBIT Media.
12 Apache Hadoop. (2014). What Is Apache Hadoop?. Apache Hadoop. http://hadoop.apache.org
13 Y. T. Cho, W. J. Lee, I. G. Lee, B. W. On & J. I. Choi. (2015). Analyzing smart grid energy data using Hadoop based big data system. The Transactions of the Korean Institute of Electrical Engineers, 64P(2), 85-91.
14 BLOTER. (2017). Samsung SDS applies 'Hadoop' to manufacturing process. BLOTER. http://www.bloter.net/archives/158074
15 J. H. Ku. (2017). A Study on Prediction Model of Equipment Failure Through Analysis of Big Data Based on RHadoop. Wireless Personal Communications, 80(1), 1-16. DOI : 10.1007/s11277-017-4151-1   DOI
16 V. Prajapati. (2013). Big data analytics with R and Hadoop. Birmingham : Packt Publishing.