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|標題:||Simulated annealing procedure for on-line control with process dynamics||作者:||Chou, S.
|關鍵字:||control policy;expected quality cost;ARIMA process;Taguchi's method;simulated annealing;statistical process-control;control charts;economic design;optimization problems;tolerance limits;autocorrelation||Project:||International Journal of Systems Science||期刊/報告no：:||International Journal of Systems Science, Volume 38, Issue 8, Page(s) 677-688.||摘要:||
We study the problem of economic design for a control policy where the sampling interval ( m) and control limit (d) are determined by minimizing the expected total quality costs. In this article, we propose a simulated annealing scheme applicable to an economic design for a control policy where the disturbances can follow the autoregressive integrated moving average (ARIMA) processes and obtain the optimum d and m. Numerical investigations are conducted for a system with a first-order dynamics subjected to an IMA ( 1,1), and an ARI ( 1,1) random disturbance. The performance of the proposed simulated annealing scheme is very promising and compares favorably to other methods.
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