Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/69550
標題: Simulated annealing procedure for on-line control with process dynamics
作者: Chou, S.
Wang, M.C.
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.
URI: http://hdl.handle.net/11455/69550
ISSN: 0020-7721
DOI: 10.1080/00207720701500476
Appears in Collections:期刊論文

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