Taguchi's method and an empirical procedure for on-line process control

Shihyu Chou*, Min Chiang Wang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

Taguchi et al. (1989) proposed an effective on-line process control policy by minimizing the expected quality cost per item in a production process. The goal is to continually improve or regulate the process so that the quality characteristic stays as close to the target value as possible. Although Taguchi's method is easy to implement, it produces higher expected quality cost than other methods under certain cost and model structures. We propose an empirical procedure in this paper since the analytical solution of control scheme for stochastic models other than the integrated moving average process, IMA(1,1), is not available. The procedure combines the phase of modeling the measurements of quality characteristic by an ARIMA process, and the phase of obtaining a control scheme based on simulation. The performance of the empirical procedure is examined by comparing favorably its expected quality costs with that of Taguchi's procedure.

原文英語
頁(從 - 到)301-320
頁數20
期刊Communications in Statistics Part B: Simulation and Computation
25
發行號2
DOIs
出版狀態已發佈 - 1996
對外發佈

ASJC Scopus subject areas

  • 統計與概率
  • 建模與模擬

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