Our Bayesian dynamic programming model builds on existing models to account for inspection delay, choice of keeping production going during inspection and/or restoration, and lot sizing. We focus on describing how dynamic statistical process control (DSPC) rules can improve on traditional,...

A new structure for economically-based sequential inspection plans is developed for use in motor vehicle emission testing. The structure allows for multiple attributes, multiple sources of randomness, misclassification of inspected items, and adjustment of cost parameters to produce desirable...