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A dynamic version of the FRAM for capturing variability in complex operations.

Vahid Salehi1, Doug Smith1, Brian Veitch1

  • 1Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, Canada.

Methodsx
|August 25, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces DynaFRAM, a dynamic tool addressing limitations in current Functional Resonance Analysis Method (FRAM) tools. DynaFRAM captures variability and temporal changes in complex socio-technical systems, enhancing decision-making.

Keywords:
Healthcare operationsInstantiationTemporal variationsVariability

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Area of Science:

  • Socio-technical systems analysis
  • Systems engineering
  • Operations research

Background:

  • Current Functional Resonance Analysis Method (FRAM) tools struggle to model qualitative, quantitative, and temporal variability in complex systems.
  • Managing variability is crucial for understanding and optimizing socio-technical operations.

Purpose of the Study:

  • To present DynaFRAM, a dynamic, FRAM-based tool designed to capture diverse characteristics of variability.
  • To address the limitations of existing FRAM tools in modeling temporal variations.
  • To enhance the analysis of variability in complex operations.

Main Methods:

  • Development of a dynamic FRAM-based tool named DynaFRAM.
  • Application of DynaFRAM to a healthcare case study to demonstrate its capabilities.
  • Focus on capturing qualitative, quantitative, and temporal aspects of variability.

Main Results:

  • DynaFRAM effectively captures various characteristics of variability, including temporal changes.
  • The tool provides a more comprehensive understanding of variability in complex operations.
  • Demonstrated applicability in a healthcare setting, with potential for broader domain use.

Conclusions:

  • DynaFRAM enhances the Functional Resonance Analysis Method by incorporating dynamic variability modeling.
  • The tool offers improved insights for specialists and practitioners making decisions in complex situations.
  • DynaFRAM facilitates a deeper analysis and understanding of variability in socio-technical systems.