Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s10479-010-0681-6 | Annals of Operations Research |
Keywords | Field | DocType |
POE,Container inspection,Measurement error,Sensor threshold,Re-inspection band,Container misclassification | Mathematical optimization,Expression (mathematics),Port of entry,Limiting,Mathematics,Observational error | Journal |
Volume | Issue | ISSN |
179 | 1 | 0254-5330 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yada Zhu | 1 | 39 | 10.49 |
| Mingyu Li | 2 | 5 | 0.79 |
| Christina M. Young | 3 | 10 | 1.81 |
| Minge Xie | 4 | 18 | 3.46 |
| Elsayed A. Elsayed | 5 | 148 | 12.69 |