Information Visualization for the Manufacturing Process Optimization Based on Design of Experiment and Data Analysis


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 9, pp. 393-402, Sep. 2015
10.3745/KTSDE.2015.4.9.393,   PDF Download:

Abstract

Data visualization technology helps people easily understand various data and its analysis result, so usefulness of it is expected in the real industrial manufacturing sites. The large amount of data which is occurred at the manufacturing sites is able to fulfill very important roll to improve the manufacturing process. In this paper, we propose an information visualization for the manufacturing process optimization based on design of experimental and data analysis. The manufacturing process may be improved and be reduced cause of faulty by providing the easy-process analysis to understand the operation site through the information visualization of data analysis result.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. C. Kim, S. A. Jin, Y. H. Park, S. Y. Noh, H. D. Lee, "Information Visualization for the Manufacturing Process Optimization Based on Design of Experiment and Data Analysis," KIPS Transactions on Software and Data Engineering, vol. 4, no. 9, pp. 393-402, 2015. DOI: 10.3745/KTSDE.2015.4.9.393.

[ACM Style]
Jae Chun Kim, Seon A Jin, Young Hee Park, Seong Yeo Noh, and Hyun Dong Lee. 2015. Information Visualization for the Manufacturing Process Optimization Based on Design of Experiment and Data Analysis. KIPS Transactions on Software and Data Engineering, 4, 9, (2015), 393-402. DOI: 10.3745/KTSDE.2015.4.9.393.