Simulated annealing: theory and applications
Simulated annealing: theory and applications
Control charts in the presence of data correlation
Management Science
`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
Statistical Control by Monitoring and Feedback Adjustment
Statistical Control by Monitoring and Feedback Adjustment
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Implementing virtual metrology for in-line quality control in semiconductor manufacturing
International Journal of Systems Science
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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.