A Diagnostic Method of Control-in/out in the Glass Furnace
- Authors
- 조진형; 이세재; 장도수
- Issue Date
- 2006
- Publisher
- 한국산업경영시스템학회
- Keywords
- Control Chart; ARIMA; Diagnostics; Control Chart; ARIMA; Diagnostics
- Citation
- 한국산업경영시스템학회지, v.29, no.1, pp.151 - 154
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 29
- Number
- 1
- Start Page
- 151
- End Page
- 154
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/3346
- ISSN
- 2005-0461
- 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.
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