A Simulation-Based Approach to Trade-Off Analysis of Port Security

Sekine,; Campos-Nanez,; Harrald,; Abeledo,

doi:10.1109/wsc.2006.323125

Cited by 12 publications

(6 citation statements)

References 14 publications

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“…Focused on the inspection process of goods, different authors have carried out simulation studies related to the problem and the delays that may result in a logistic chain (Lewis et al, 2003;Sekine et al, 2006;Khoshons et al, 2006;Koch, 2007;Longo, 2010). Specifically, Shih et al (2005) and Batabyal and Nijkamp (2005) developed a study of the inspection problem using queuing theory.…”

Section: Literature Reviewmentioning

confidence: 99%

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Efficient goods inspection demand at ports: a comparative forecasting approach

Ruiz‐Aguilar

Turias

Moscoso-López

et al. 2017

Int Trans Operational Res

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A high number of freight inspections carried out at Border Inspection Posts (BIPs) of ports could lead to significant time delays and congestion problems within the port system, decreasing the efficiency of the port. Therefore, this work is focused on achieving the most accurate prediction of the daily number of goods subject to inspection at BIPs. Five prediction methods were used for this aim: multiple linear regression, seasonal autoregressive integrated moving average, generalized autoregressive conditional heteroskedasticity, artificial neural networks, and support vector regression models. Several nonlinear tests were used to study the nature of the time series and the best method was obtained by the comparison of the prediction results based on performance indexes that provide the goodness‐of‐fit. The result of this study may become a supporting tool for the prediction of the number of goods subject to inspection in BIPs of other international seaports or airports.

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Section: Literature Reviewmentioning

confidence: 99%

“…Focused on the inspection process of goods, different authors have carried out simulation studies related to the problem and the delays that may result in a logistic chain (Lewis et al., ; Sekine et al., ; Khoshons et al., ; Koch, ; Longo, ). Specifically, Shih et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficient goods inspection demand at ports: a comparative forecasting approach

Ruiz‐Aguilar

Turias

Moscoso-López

et al. 2017

Int Trans Operational Res

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“…In addition to the binary decision-tree models discussed, Sekine et al (2006), Boros et al (2009), Elsayed et al (2007, Koch (2007), and Goldberg et al (2008) have also tackled the container inspection problem using different approaches. Young et al (2010) proposed using series and parallel Boolean decision functions to analyze the results from a sequence of screening devices and classify containers according to the combination of the attributes observed.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal design of container inspection strategies considering multiple objectives via an evolutionary approach

Concho

Ramírez-Márquez

2012

Ann Oper Res

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The size and complexity of containerized shipping across the globe has increased the vulnerability of seaports to the attack of terrorist networks and contraband smuggling. As a result, the creation of inspection strategies to check incoming containers at ports-of-entry has been necessary to enable the detection of containers carrying prohibited items. However, since costs and tardiness considerations related to the inspection process prevent all cargo to be manually checked, including different non-intrusive screening technologies as part of the inspection strategies is essential to optimize inspection needs. In this paper, inspection strategies are represented as decision-tree structures where each node illustrates a screening device, and links represent the two possible classifications a screened container can get (i.e. suspicious or unsuspicious). Based on such classification, one of three actions is taken: to continue screening, release or physically check the container. The contribution of this paper is a mathematical framework that provides an approximation to the Pareto optimal solutions (i.e. inspection strategies) that enable decision-makers to: (1) identify tradeoffs among vulnerability, inspection cost, and tardiness for different inspection strategies, and based on this (2) find the strategy that best suits current inspection needs. The mathematical framework includes: (1) a multi-objective optimization model that concurrently minimizes vulnerability, cost, and tardiness while determining screening device allocation and threshold settings, as well as, (2) an evolutionary approach used to solve the optimization model.

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“…However, sometimes it is impossible to give a monetary value to the costs or to the benefits (Guess and Farnham 2000). Sekine et al (2006) suggest using Pareto efficiency set to compare between different inspection policies.…”

Section: Introductionmentioning

confidence: 99%

Scenario Analysis, Decision Trees and Simulation for Cost Benefit Analysis of the Cargo Screening Process

et al. 2010

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In this paper we present our ideas for conducting a cost benefit analysis by using three different methods: scenario analysis, decision trees and simulation. Then we introduce our case study and examine these methods in a real world situation. We show how these tools can be used and what the results are for each of them. Our aim is to conduct a comparison of these different probabilistic methods of estimating costs for port security risk assessment studies. Methodologically, we are trying to understand the limits of all the tools mentioned above by focusing on rare events.

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A Simulation-Based Approach to Trade-Off Analysis of Port Security

Cited by 12 publications

References 14 publications

Efficient goods inspection demand at ports: a comparative forecasting approach

Efficient goods inspection demand at ports: a comparative forecasting approach

Optimal design of container inspection strategies considering multiple objectives via an evolutionary approach

Scenario Analysis, Decision Trees and Simulation for Cost Benefit Analysis of the Cargo Screening Process

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