Abstract
Customs administration oversees the important processes of facilitating trade and protecting local societies and economies: the former by minimising shipment processing times and the latter by ensuring the lawfulness of trade. One of the main processes that affect the facilitation and protection of trade is the risk of the shipment assessment process. This assessment is performed by analysing available information about shipments to determine whether or not they require physical inspection. When a shipment is identified as suspicious, a physical inspection that can take hours is performed to identify and (dis)confirm the risk factors. In this process, changing trading behaviour by increasing the volume of expected shipments can be a source of pressure. This work proposes a secondary distributed risk assessment method that provides customs administration with an online risk assessment capabilities. The proposed method complements the risk assessments performed at customs administration by providing feedback from the early stage of risk analysis. The results show that the proposed method can provide classification that is 83% accurate on average.
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Acknowledgement
Dubai Customs funded the research for this paper. The authors would also like to thank everyone from the Service Innovation department for constructive discussions and inputs.
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Juma, H., Shaalan, K., Kamel, I. (2020). Customs-Based Distributed Risk Assessment Method. In: Shen, H., Sang, Y. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2019. Communications in Computer and Information Science, vol 1163. Springer, Singapore. https://doi.org/10.1007/978-981-15-2767-8_37
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DOI: https://doi.org/10.1007/978-981-15-2767-8_37
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