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Cloud-based big data analytics platform using algorithm templates for the manufacturing industry

delete2019-05-01
delete19
PRE
AI
C
Chanmo Jun
J
Ju Yeon Lee *
B
Bo Hyun Kim
DOI：10.1080/0951192X.2019.1610578delete
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Abstract

Abstract

En 中文
Specialised knowledge on analytics algorithms is necessary to conduct a data analysis; thus, there are limits to how a manufacturing manager who is not a data analysis expert conducts analysis tasks. This study proposed a manufacturing-specialised data analytics algorithm template and a cloud-based big data analytics platform to resolve such a problem and to enable those not specialising in data analysis to perform analysis tasks. The manufacturing-specialised data analytics algorithm template is a concept in which data characteristics are considered according to manufacturing problems to systematically provide the pre-processing, data mining, and visualisation algorithms required for conducting analysis tasks. A cloud-based big data analytics platform is designed to use algorithm templates for analysis and is capable of not only storing and managing data per company but also creating analysis models and confirming results. The platform consists of the following: inter-connected middleware, data storage, a batch manager, a data analytics modeller, and an analysis engine. This study applied the proposed manufacturing-specialised data analytics algorithm template and cloud-based big data analytics platform to the machine problem-solving process executed by mobile phone component production companies. It also sought study limitations and offered development plans for future research.
Keywords:
Manufacturing-specialised data analytics algorithm template
cloud
big data analytics platform
Hadoop
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

I
International Journal of Computer Integrated Manufacturing
IF:
4
Papers:
2.3K
Citations:
3.4K

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