Design of optimal maintenance policies based on on-line sampling plans

Article Abstract:

The use of online sampling schedules to optimize quality control and maintenance policies is explored. Specifically, the costs of sampling, inspection, maintenance, scrap, and lost production is calculated as a function of n and f, where n is the number of parts produced which initiates 100% sampling of a batch and f is the number of defective parts which triggers maintenance activities. Based on sensitivity analyses, it is shown that the optimal policy is dependent on several input variables such as process switch rate and quality control cost.

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Permuted derivative and importance-sampling estimators for regenerative simulations

Article Abstract:

A new variance-reduction technique for regenerative simulations based on permuting regeneration cycles was introduced. The permuted versions of likelihood-ratio derivative estimators for steady-state performance measures, importance-sampling estimators of the mean cumulative reward until hitting a set of states, are derived in particular.

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A sampling procedure to estimate risk probabilities in access-control security systems

Article Abstract:

A new, non-obtrusive sampling procedure is presented for estimating risk probabilities in an airport access-control security system.

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