Customized risk assessment in military shipbuilding

Detalhes bibliográficos
Autor(a) principal: Crispim, José
Data de Publicação: 2020
Outros Autores: Fernandes, Jorge, Rego, Nazaré Glória Gonçalves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/81104
Resumo: This paper describes a customized risk assessment framework to be applied in military shipbuilding projects. The framework incorporates the Delphi method with visual diagrams, Bayesian Networks (BN) and the expression of expert opinions through linguistic variables. Noisy-OR and Leak Canonical models are used to determine the conditional probabilities of the BN model. The approach can easily be adapted for other shipbuilding construction projects. The visual diagrams that support the Delphi questionnaire favor the comprehensive visualization of the interdependencies between risks, causes, risks and causes, and risks and effects. The applicability of the framework is illustrated through the assessment of risk of two real military shipbuilding projects. This assessment includes a sensitivity analysis that is useful to prioritize mitigation actions. In the two cases studies, the risks with higher probability of occurrence were failures or errors in production, of the contracted, in the requirements, and in planning. The results of the sensitivity analysis showed that a set of mitigation actions directed at relatively easily controllable causes would have achieved important reductions in risk probabilities.
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spelling Customized risk assessment in military shipbuildingProject managementShipbuilding projectsRisk network modelDelphiBayesian networkScience & TechnologyThis paper describes a customized risk assessment framework to be applied in military shipbuilding projects. The framework incorporates the Delphi method with visual diagrams, Bayesian Networks (BN) and the expression of expert opinions through linguistic variables. Noisy-OR and Leak Canonical models are used to determine the conditional probabilities of the BN model. The approach can easily be adapted for other shipbuilding construction projects. The visual diagrams that support the Delphi questionnaire favor the comprehensive visualization of the interdependencies between risks, causes, risks and causes, and risks and effects. The applicability of the framework is illustrated through the assessment of risk of two real military shipbuilding projects. This assessment includes a sensitivity analysis that is useful to prioritize mitigation actions. In the two cases studies, the risks with higher probability of occurrence were failures or errors in production, of the contracted, in the requirements, and in planning. The results of the sensitivity analysis showed that a set of mitigation actions directed at relatively easily controllable causes would have achieved important reductions in risk probabilities.- (undefined)Elsevier Science LtdUniversidade do MinhoCrispim, JoséFernandes, JorgeRego, Nazaré Glória Gonçalves2020-05-012020-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/81104eng0951-832010.1016/j.ress.2020.106809info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:39:32ZPortal AgregadorONG
dc.title.none.fl_str_mv Customized risk assessment in military shipbuilding
title Customized risk assessment in military shipbuilding
spellingShingle Customized risk assessment in military shipbuilding
Crispim, José
Project management
Shipbuilding projects
Risk network model
Delphi
Bayesian network
Science & Technology
title_short Customized risk assessment in military shipbuilding
title_full Customized risk assessment in military shipbuilding
title_fullStr Customized risk assessment in military shipbuilding
title_full_unstemmed Customized risk assessment in military shipbuilding
title_sort Customized risk assessment in military shipbuilding
author Crispim, José
author_facet Crispim, José
Fernandes, Jorge
Rego, Nazaré Glória Gonçalves
author_role author
author2 Fernandes, Jorge
Rego, Nazaré Glória Gonçalves
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Crispim, José
Fernandes, Jorge
Rego, Nazaré Glória Gonçalves
dc.subject.por.fl_str_mv Project management
Shipbuilding projects
Risk network model
Delphi
Bayesian network
Science & Technology
topic Project management
Shipbuilding projects
Risk network model
Delphi
Bayesian network
Science & Technology
description This paper describes a customized risk assessment framework to be applied in military shipbuilding projects. The framework incorporates the Delphi method with visual diagrams, Bayesian Networks (BN) and the expression of expert opinions through linguistic variables. Noisy-OR and Leak Canonical models are used to determine the conditional probabilities of the BN model. The approach can easily be adapted for other shipbuilding construction projects. The visual diagrams that support the Delphi questionnaire favor the comprehensive visualization of the interdependencies between risks, causes, risks and causes, and risks and effects. The applicability of the framework is illustrated through the assessment of risk of two real military shipbuilding projects. This assessment includes a sensitivity analysis that is useful to prioritize mitigation actions. In the two cases studies, the risks with higher probability of occurrence were failures or errors in production, of the contracted, in the requirements, and in planning. The results of the sensitivity analysis showed that a set of mitigation actions directed at relatively easily controllable causes would have achieved important reductions in risk probabilities.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-01
2020-05-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/81104
url https://hdl.handle.net/1822/81104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0951-8320
10.1016/j.ress.2020.106809
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Ltd
publisher.none.fl_str_mv Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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