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A dynamic version of the FRAM for capturing variability in complex operations
Functional Resonance Analysis Method (FRAM) is a function-based approach to model complex socio-technical systems and to manage variability. The current FRAM related tools are unable to capture qualitative and quantitative characteristics of variability as well as temporal variations. This study pre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374388/ https://www.ncbi.nlm.nih.gov/pubmed/34430239 http://dx.doi.org/10.1016/j.mex.2021.101333 |
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author | Salehi, Vahid Smith, Doug Veitch, Brian Hanson, Natasha |
author_facet | Salehi, Vahid Smith, Doug Veitch, Brian Hanson, Natasha |
author_sort | Salehi, Vahid |
collection | PubMed |
description | Functional Resonance Analysis Method (FRAM) is a function-based approach to model complex socio-technical systems and to manage variability. The current FRAM related tools are unable to capture qualitative and quantitative characteristics of variability as well as temporal variations. This study presents in detail a dynamic FRAM-based tool, which is called DynaFRAM. It is introduced to address the variability-related deficiencies of the FRAM related tools. It aims to capture variability in complex operations. It is a dynamic tool developed to capture time related variations in complex operations. This increases the attractiveness of the DynaFRAM for complex operations where specialists and practitioners make decisions in complicated situations. The ability of the DynaFRAM is demonstrated by examining a healthcare related case study. Although the ability of the DynaFRAM is assessed through capturing variations in healthcare operations, it can be applied to other domains in a similar manner. • The DynaFRAM is a dynamic FRAM-based tool. • It is able to captures different characteristics of variability. • It facilitates understanding and analysis of variability in complex operations. |
format | Online Article Text |
id | pubmed-8374388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83743882021-08-23 A dynamic version of the FRAM for capturing variability in complex operations Salehi, Vahid Smith, Doug Veitch, Brian Hanson, Natasha MethodsX Method Article Functional Resonance Analysis Method (FRAM) is a function-based approach to model complex socio-technical systems and to manage variability. The current FRAM related tools are unable to capture qualitative and quantitative characteristics of variability as well as temporal variations. This study presents in detail a dynamic FRAM-based tool, which is called DynaFRAM. It is introduced to address the variability-related deficiencies of the FRAM related tools. It aims to capture variability in complex operations. It is a dynamic tool developed to capture time related variations in complex operations. This increases the attractiveness of the DynaFRAM for complex operations where specialists and practitioners make decisions in complicated situations. The ability of the DynaFRAM is demonstrated by examining a healthcare related case study. Although the ability of the DynaFRAM is assessed through capturing variations in healthcare operations, it can be applied to other domains in a similar manner. • The DynaFRAM is a dynamic FRAM-based tool. • It is able to captures different characteristics of variability. • It facilitates understanding and analysis of variability in complex operations. Elsevier 2021-04-02 /pmc/articles/PMC8374388/ /pubmed/34430239 http://dx.doi.org/10.1016/j.mex.2021.101333 Text en © 2021 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Method Article Salehi, Vahid Smith, Doug Veitch, Brian Hanson, Natasha A dynamic version of the FRAM for capturing variability in complex operations |
title | A dynamic version of the FRAM for capturing variability in complex operations |
title_full | A dynamic version of the FRAM for capturing variability in complex operations |
title_fullStr | A dynamic version of the FRAM for capturing variability in complex operations |
title_full_unstemmed | A dynamic version of the FRAM for capturing variability in complex operations |
title_short | A dynamic version of the FRAM for capturing variability in complex operations |
title_sort | dynamic version of the fram for capturing variability in complex operations |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374388/ https://www.ncbi.nlm.nih.gov/pubmed/34430239 http://dx.doi.org/10.1016/j.mex.2021.101333 |
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