Setup Adjustment of Multiple Lots Using a Sequential Monte Carlo Method

distribution of the quality characteristic of parts can change from lot to lot due to an improper setup op eration. It is shown how a first SMC approach has performance equivalent to a recently proposed Markov chain Monte Carlo method but at a small fraction of the computational cost, allowing for on-line control. A second, modified SMC rule that avoids unnecessary adjustments that can inflate the variance is also presented. A simulation approach is presented that allows tuning of the modified SMC rule to provide ro bust adjustment with respect to the unknown process parameters. Applications in short-run manufacturing processes are discussed.