Impact of measurement error on container inspection policies at port-of-entry

Containers and cargos arriving at port-of-entry are inspected using sensors and devices to detect drugs, weapons, nuclear materials and other illegal items. Measurement errors associated with the inspection process may result in higher percentage of misclassification of containers. In this paper, we propose and formulate three inspection policies for containers at port-of-entry assuming the presence of sensor measurement errors. The optimization of the policies is carried out and the performance of each in terms of misclassification probabilities is compared. In each of the policies, the optimum settings are determined by minimizing the probability of false rejection while limiting the probability of false acceptance at a very low tolerance level. The results show that the policy of repeat inspections improves the performance in terms of correct container classification.