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http://dx.doi.org/10.7736/KSPE.2014.31.4.311

Development of Mobile Dashboard System for Manufacturing Data Visualization  

Jo, Hyunjei (Manufacturing Automation R&BD Group, KITECH)
Kim, Chul (Manufacturing Automation R&BD Group, KITECH)
Cho, Yongju (Manufacturing Automation R&BD Group, KITECH)
Publication Information
Journal of the Korean Society for Precision Engineering / v.31, no.4, 2014 , pp. 311-317 More about this Journal
Abstract
As products have been more complex and customer's demands of personalized products are increasing, manufacturing system has been changed from mass production to mass customization production that makes small quantity but different kinds of product. In addition, it becomes important that manufacturers quickly respond to variable customer's demands and characteristic regulations in each country. Therefore, three prerequisites are essential for manufacturers to response agilely. First, manufacturing data should be monitored in real time, second, information is extracted from the data, and finally, the information is used to make manufacturing strategy. In this paper, the mobile dashboard system is presented. It visualizes manufacturing data on mobile devices, and measures performance of the shop floor through the information. The proposed system is composed of server and client, and is running on the R - the open source software for statistics. Four kinds of template are given for easy visualization through the system.
Keywords
manufacturing data; data visualization; mobile; performance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Hwang, Y. -D., "The Practices of Integrating Manufacturing Execution Systems and Six Sigma Methodology," The International Journal of Advanced Manufacturing Technology, Vol. 31, No. 1- 2, pp. 145-154, 2006.   DOI
2 Ho, C. -J., "Evaluating the Impact of Operating Environments on MRP System Nervousness," Int. J. Prod. Res., Vol. 27, No. 7, pp. 1115-1135, 1989.   DOI   ScienceOn
3 Kletti, J., "Manufacturing Execution System - MES," Springer, 1st Ed., pp. 13-29, 2012.
4 MESA International, "MES Explained: A High Level Vision," 1997.
5 Jo, H., Cho, Y., Kim, C., and Choi, S., "Configuration MES and The Application Methodology," Proc. of KSPE Autumn Conference, pp. 507-508, 2012.
6 Lee, G. -B., "Suggestions for Implementation of the Digital Factory-Based Extended Manufacturing Execution System," J. Korean Soc. Precis. Eng., Vol. 26, No. 1, pp. 17-23, 2009.   과학기술학회마을
7 Kuo, C. -J., Chien, C. -F., and Chen, J. -D., "Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time," IEEE Transactions on Automation Science and Engineering, Vol. 8, No. 1, pp. 103-111, 2011.   DOI
8 Smith, A., "From EMI to Operations Intelligence, Part 1: Business Leaders Seek Key Performance Drivers," AMR Research, 2008.
9 Unver, H. O., "An ISA-95-based Manufacturing Intelligence System in Support of Lean Initiatives," The International Journal of Advanced Manufacturing Technology, Vol. 65, pp. 853-866, 2013.   DOI
10 Chien, C. -F., Chen, Y. -J., and Peng, J. -T., "Manufacturing Intelligence for Semiconductor Demand Forecast Based on Technology Diffusion and Product Life Cycle," International Journal of Production Economics, Vol. 128, pp. 496-509, 2010.   DOI   ScienceOn
11 Venables, W. N., Smith, D. M., and R. C. Team, "An Introduction to R," the R Core Team, 2003.
12 Linke, B., Huang, Y. -C., and Dornfeld, D., "Establishing Greener Products and Manufacturing Processes," Int. J. Precis. Eng. Manuf., Vol. 13, No. 7, pp. 1029-1036, 2012.   DOI   ScienceOn