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A Diagnostic Method of Control-in/out in the Glass Furnace  

Cho, Jin-Hyung (Dept. of Industrial & Systems Engineering, Kumoh National Institute of Technology)
Lee, Sae-Jae (Dept. of Industrial & Systems Engineering, Kumoh National Institute of Technology)
Jang, Do-Soo (Dept. of Industrial & Systems Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.29, no.1, 2006 , pp. 151-154 More about this Journal
Abstract
The high degree of viscosity and the non-Newtonian fluid dynamics characterizes the process inside a glass furnace. Because the temperature is fluctuating in very short time-intervals, it is hard to determine that the status of its fluctuation is stable or unstable. Usually Shewhart-chart is used to determine the control status. However because of the characteristics of the temperature fluctuations in the glass furnace it does not directly serve the purpose here. Therefore we suggest using ARIMA to diagnose control status and confirm that the method using ARIMA can be a better tool than Shewhart-chart.
Keywords
Control Chart; ARIMA; Diagnostics;
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