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dc.contributor.authorVilla, Valeria
dc.contributor.authorReniers, Genserik
dc.contributor.authorPaltrinieri, Nicola
dc.contributor.authorCozzani, Valerio
dc.date.accessioned2019-03-20T06:52:38Z
dc.date.available2019-03-20T06:52:38Z
dc.date.created2017-06-29T15:02:33Z
dc.date.issued2017
dc.identifier.citationJournal of Loss Prevention in the Process Industries. 2017, 49 (B), 437-460.nb_NO
dc.identifier.issn0950-4230
dc.identifier.urihttp://hdl.handle.net/11250/2590721
dc.description.abstractIn the last few years, several events have highlighted the risk of possible major accidents triggered by terrorist attacks within chemical and process facilities. Due to the increased attention for security issues, an optimal allocation of security measures, including related cost issues, becomes progressively more important. Despite the existence of economic models for supporting decision-making processes in general, for instance cost-benefit and cost-effectiveness analyses, no specific economic models are available in the domain of operational security (including counter-terrorism decision-making) to be applied within the chemical and process industry. In this study, a novel method for cost-benefit and cost-effectiveness analysis for the allocation of physical security measures was elaborated and tested using a case study. Starting from a site-specific analysis of the baseline physical security system performance, the model allows comparing and evaluating the costs of different security upgrades with the (hypothetical) benefits related to the avoided losses. The approach developed enables selecting economically feasible security measures, or a combination of such measures with a maximum net present value, within the budget constraints of a chemical plant.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDevelopment of an economic model for counter terrorism measures in the process-industrynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber437-460nb_NO
dc.source.volume49nb_NO
dc.source.journalJournal of Loss Prevention in the Process Industriesnb_NO
dc.source.issueBnb_NO
dc.identifier.doi10.1016/j.jlp.2017.06.001
dc.identifier.cristin1479943
dc.description.localcode© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 8.6.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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