The Functional Resonance Analysis Method (FRAM) on Aviation: a Systematic Review

EasyChair Preprint 10975

Abstract

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’ behavior. 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. This paper aims to summarize available documents published between 2017 and 2022 about FRAM on Aviation through a Systematic Literature Review (SLR). Circa of 15 articles were reviewed, disclosing characteristics of the FRAM research regarding the method’s application on aviation as well as proposing potential future research directions.

FRAM is a method-sine-model, whose purpose is to build a model of how things happen rather than to interpret what happens in the terms of a model. In the aviation domain, the FRAM is being applied for retrospective analyses, like the SAS flight 751 crash at Gottröra in 1991, and prospective analyses, mainly in Air Traffic Management (ATM). The SLR also reports proposals to enhance the FRAM, such as the development of (semi‐)automatic data collection approaches, including function identification and aspect specification, as well as method(s) for quantifying variability.

Keyphrases: Aviation, FRAM, systematic review

@booklet{EasyChair:10975,
  author    = {Christianne Reiser and Emilia Villani and Moacyr Machado Cardoso Junior},
  title     = {The Functional Resonance Analysis Method (FRAM) on Aviation: a Systematic Review},
  howpublished = {EasyChair Preprint 10975},
  year      = {EasyChair, 2023}}