Evaluating different cost-benefit analysis methods for port security operations

Service industries, such as ports, are attentive to their standards, a smooth service flow and economic viability. Cost benefit analysis has proven itself as a useful tool to support this type of decision making; it has been used by businesses and governmental agencies for many years. In this book c...

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Main Authors: Sherman, Galina, Siebers, Peer-Olaf, Menachof, David, Aickelin, Uwe
Other Authors: Faulin, Javier
Format: Book Section
Published: CRC Press 2012
Online Access:https://eprints.nottingham.ac.uk/34112/
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author Sherman, Galina
Siebers, Peer-Olaf
Menachof, David
Aickelin, Uwe
author2 Faulin, Javier
author_facet Faulin, Javier
Sherman, Galina
Siebers, Peer-Olaf
Menachof, David
Aickelin, Uwe
author_sort Sherman, Galina
building Nottingham Research Data Repository
collection Online Access
description Service industries, such as ports, are attentive to their standards, a smooth service flow and economic viability. Cost benefit analysis has proven itself as a useful tool to support this type of decision making; it has been used by businesses and governmental agencies for many years. In this book chapter we demonstrate different modelling methods that are used for estimating input factors required for conducting cost benefit analysis based on a single case study. These methods are: scenario analysis, decision trees, Monte-Carlo simulation modelling and discrete event simulation modelling. Our aims are, on the one hand, to guide the analyst through the modelling processes and, on the other hand, to demonstrate what additional decision support information can be obtained from applying each of these modelling methods.
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format Book Section
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:21:35Z
publishDate 2012
publisher CRC Press
recordtype eprints
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spelling nottingham-341122020-05-04T16:33:52Z https://eprints.nottingham.ac.uk/34112/ Evaluating different cost-benefit analysis methods for port security operations Sherman, Galina Siebers, Peer-Olaf Menachof, David Aickelin, Uwe Service industries, such as ports, are attentive to their standards, a smooth service flow and economic viability. Cost benefit analysis has proven itself as a useful tool to support this type of decision making; it has been used by businesses and governmental agencies for many years. In this book chapter we demonstrate different modelling methods that are used for estimating input factors required for conducting cost benefit analysis based on a single case study. These methods are: scenario analysis, decision trees, Monte-Carlo simulation modelling and discrete event simulation modelling. Our aims are, on the one hand, to guide the analyst through the modelling processes and, on the other hand, to demonstrate what additional decision support information can be obtained from applying each of these modelling methods. CRC Press Faulin, Javier Juan, Angel A. Grasman, Scott E. Fry, Michael J. 2012-08-08 Book Section PeerReviewed Sherman, Galina, Siebers, Peer-Olaf, Menachof, David and Aickelin, Uwe (2012) Evaluating different cost-benefit analysis methods for port security operations. In: Decision making in service industries: a practical approach. CRC Press, Boca Raton, Florida, pp. 279-302. ISBN 9781439867341
spellingShingle Sherman, Galina
Siebers, Peer-Olaf
Menachof, David
Aickelin, Uwe
Evaluating different cost-benefit analysis methods for port security operations
title Evaluating different cost-benefit analysis methods for port security operations
title_full Evaluating different cost-benefit analysis methods for port security operations
title_fullStr Evaluating different cost-benefit analysis methods for port security operations
title_full_unstemmed Evaluating different cost-benefit analysis methods for port security operations
title_short Evaluating different cost-benefit analysis methods for port security operations
title_sort evaluating different cost-benefit analysis methods for port security operations
url https://eprints.nottingham.ac.uk/34112/