Cambrensian “Intelligent” FMV (FRAM Model Visualiser)

for estimating probabilities of outcomes in complex systems. | David Slater and Rees Hill

David Slater – dslater@cambrensis.org
Rees Hill – rees.hill@zerprize.co.nz


ABSTRACT

The Functional Resonance Analysis Method (FRAM) has emerged as a valuable tool for modeling and understanding the dynamic behaviour of complex socio-technical systems. While traditionally used as a qualitative method, recent advancements in the FRAM Model Visualizer (FMV) have introduced quantitative capabilities, enabling the systematic analysis of functional interactions and variability within a probabilistic framework. This paper explores the potential of FRAM to bridge the gap between human factors specialists, who prioritize qualitative insights, and engineers, who demand numerical rigour for system reliability and safety predictions.

Click to download PDF