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Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis

I.A. Herrera and R. Woltjer

Reliability Engineering and System Safety, 2010, vol. 95, issue 12, 1269-1275

Abstract: Accident models and analysis methods affect what accident investigators look for, which contributory factors are found, and which recommendations are issued. This paper contrasts the Sequentially Timed Events Plotting (STEP) method and the Functional Resonance Analysis Method (FRAM) for accident analysis and modelling. The main issue addressed in this paper is the comparison of the established multi-linear method STEP with the new systemic method FRAM and which new insights the latter provides for accident analysis in comparison to the former established multi-linear method. Since STEP and FRAM are based on a different understandings of the nature of accidents, the comparison of the methods focuses on what we can learn from both methods, how, when, and why to apply them. The main finding is that STEP helps to illustrate what happened, involving which actors at what time, whereas FRAM illustrates the dynamic interactions within socio-technical systems and lets the analyst understand the how and why by describing non-linear dependencies, performance conditions, variability, and their resonance across functions.

Keywords: Performance variability; Systemic models; Non-linear models; Functional resonance; Accident analysis; Accident modelling (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:12:p:1269-1275

DOI: 10.1016/j.ress.2010.06.003

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