Abstract
Containers arriving at a port-of-entry are inspected using sensors and devices to detect drugs, weapons, nuclear materials and other illegal cargo. Measurement errors associated with the inspection process may result in higher 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 to a specified tolerance level. The results show that repeat inspections improve performance in terms of correct container classification. Expressions are presented for container misclassification in a single station, as well as in systems with several inspection stations arranged in different configurations such as series, parallel, series-parallel and parallel-series.
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This research is conducted with partial support from ONR grant numbers N00014-05-1-0237, N00014-07-1-029, NSF grant numbers SES-05-18543, SES-08-51521, DMS-09-15139 and NSA grant number H98230-08-1-0104.
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Zhu, Y., Li, M., Young, C.M. et al. Impact of measurement error on container inspection policies at port-of-entry. Ann Oper Res 187, 23–43 (2011). https://doi.org/10.1007/s10479-010-0681-6
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DOI: https://doi.org/10.1007/s10479-010-0681-6