Framing the FRAM: A literature review on the functional resonance analysis method.

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Title: Framing the FRAM: A literature review on the functional resonance analysis method.
Authors: Patriarca, R.1 (AUTHOR) riccardo.patriarca@uniroma1.it, Di Gravio, G.1 (AUTHOR), Woltjer, R.2 (AUTHOR), Costantino, F.1 (AUTHOR), Praetorius, G.3,4 (AUTHOR), Ferreira, P.5 (AUTHOR), Hollnagel, E.6,7 (AUTHOR)
Source: Safety Science. Sep2020, Vol. 129, pN.PAG-N.PAG. 1p.
Subjects: Functional analysis, Sociotechnical systems, Institutional repositories
Abstract: • A PRISMA approach has been followed to review more than 1700 documents on the FRAM. • The analysis presents descriptive and interpretative results on the usage of the FRAM. • The FRAM's strengths and limitations and potential future research are presented. • The FRAM is not a one-size-fits-all modelling solution. The development of the Functional Resonance Analysis Method (FRAM) has been motivated by the perceived limitations of fundamentally deterministic and probabilistic approaches to understand complex systems' behaviour. Congruent with the principles of Resilience Engineering, over recent years the FRAM has been progressively developed in scientific terms, and increasingly adopted in industrial environments with reportedly successful results. Nevertheless, a wide literature review focused on the method is currently lacking. On these premises, this paper aims to summarise all available published research in English about FRAM. More than 1700 documents from multiple scientific repositories were reviewed through a protocol based on the PRISMA review technique. The paper aims to uncover a number of characteristics of the FRAM research, both in terms of the method's application and of the authors contributing to its development. The systematic analysis explores the method in terms of its methodological aspects, application domains, and enhancements in qualitative and quantitative terms, as well as proposing potential future research directions. [ABSTRACT FROM AUTHOR]
Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 143740691
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Framing the FRAM: A literature review on the functional resonance analysis method.
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  Data: <searchLink fieldCode="AR" term="%22Patriarca%2C+R%2E%22">Patriarca, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> riccardo.patriarca@uniroma1.it</i><br /><searchLink fieldCode="AR" term="%22Di+Gravio%2C+G%2E%22">Di Gravio, G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Woltjer%2C+R%2E%22">Woltjer, R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Costantino%2C+F%2E%22">Costantino, F.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Praetorius%2C+G%2E%22">Praetorius, G.</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferreira%2C+P%2E%22">Ferreira, P.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hollnagel%2C+E%2E%22">Hollnagel, E.</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Functional+analysis%22">Functional analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sociotechnical+systems%22">Sociotechnical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Institutional+repositories%22">Institutional repositories</searchLink>
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  Data: • A PRISMA approach has been followed to review more than 1700 documents on the FRAM. • The analysis presents descriptive and interpretative results on the usage of the FRAM. • The FRAM's strengths and limitations and potential future research are presented. • The FRAM is not a one-size-fits-all modelling solution. The development of the Functional Resonance Analysis Method (FRAM) has been motivated by the perceived limitations of fundamentally deterministic and probabilistic approaches to understand complex systems' behaviour. Congruent with the principles of Resilience Engineering, over recent years the FRAM has been progressively developed in scientific terms, and increasingly adopted in industrial environments with reportedly successful results. Nevertheless, a wide literature review focused on the method is currently lacking. On these premises, this paper aims to summarise all available published research in English about FRAM. More than 1700 documents from multiple scientific repositories were reviewed through a protocol based on the PRISMA review technique. The paper aims to uncover a number of characteristics of the FRAM research, both in terms of the method's application and of the authors contributing to its development. The systematic analysis explores the method in terms of its methodological aspects, application domains, and enhancements in qualitative and quantitative terms, as well as proposing potential future research directions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Safety Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.ssci.2020.104827
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