Development of a cargo screening process simulator: a first approach

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that take a holistic view of the overall screening proced...

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Main Authors: Siebers, Peer-Olaf, Sherman, Galina, Aickelin, Uwe
Format: Conference or Workshop Item
Published: 2009
Online Access:https://eprints.nottingham.ac.uk/1249/
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author Siebers, Peer-Olaf
Sherman, Galina
Aickelin, Uwe
author_facet Siebers, Peer-Olaf
Sherman, Galina
Aickelin, Uwe
author_sort Siebers, Peer-Olaf
building Nottingham Research Data Repository
collection Online Access
description The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that take a holistic view of the overall screening procedures and no benchmarks that take operator variability into account. Just adding up resources and manpower used is not an effective way for assessing systems where human decision-making and operator compliance to rules play a vital role. Our aim is to develop a decision support tool (cargo-screening system simulator) that will map the right technology and manpower to the right commodity-threat combination in order to maximise detection rates. In this paper we present our ideas for developing such a system and highlight the research challenges we have identified. Then we introduce our first case study and report on the progress we have made so far.
first_indexed 2025-11-14T18:14:42Z
format Conference or Workshop Item
id nottingham-1249
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T18:14:42Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling nottingham-12492020-05-04T20:27:01Z https://eprints.nottingham.ac.uk/1249/ Development of a cargo screening process simulator: a first approach Siebers, Peer-Olaf Sherman, Galina Aickelin, Uwe The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no benchmarks that take a holistic view of the overall screening procedures and no benchmarks that take operator variability into account. Just adding up resources and manpower used is not an effective way for assessing systems where human decision-making and operator compliance to rules play a vital role. Our aim is to develop a decision support tool (cargo-screening system simulator) that will map the right technology and manpower to the right commodity-threat combination in order to maximise detection rates. In this paper we present our ideas for developing such a system and highlight the research challenges we have identified. Then we introduce our first case study and report on the progress we have made so far. 2009 Conference or Workshop Item PeerReviewed Siebers, Peer-Olaf, Sherman, Galina and Aickelin, Uwe (2009) Development of a cargo screening process simulator: a first approach. In: 6th International Mediterranean Modeling Multiconference (EMSS 2009), 23-25 Sept. 2009, Tenerife, Spain.
spellingShingle Siebers, Peer-Olaf
Sherman, Galina
Aickelin, Uwe
Development of a cargo screening process simulator: a first approach
title Development of a cargo screening process simulator: a first approach
title_full Development of a cargo screening process simulator: a first approach
title_fullStr Development of a cargo screening process simulator: a first approach
title_full_unstemmed Development of a cargo screening process simulator: a first approach
title_short Development of a cargo screening process simulator: a first approach
title_sort development of a cargo screening process simulator: a first approach
url https://eprints.nottingham.ac.uk/1249/