Abstract
The Traditional tools for occupational risk assessment like preliminary hazard analysis, hazard checklists, fault trees are based on the isolation of hazard activities from the entire process and the development of specific measures to avoid or minimize the occupational risk. This strategy makes the results of such evaluations distant from real situations. The Functional Resonance Analysis Method (FRAM) defines a systemic framework to model complex systems based on combinations of function variabilities during normal work. FRAM which aims to describe how function couplings may be combined in such a way that variability of performance, rather than failure or poor functioning, creates an occupational risk. In order to minimize the subjectivity associated with the qualitative analyses of the functions performed by experts’ judgments required by FRAM, a multi-criteria decision-support method was added. Analytic hierarchy process (AHP) are used in situations involving multiple objectives, various decision-makers, and the simultaneous treatment of complex issues. In this sense, this research contributes to the evolution of FRAM, by proposing the application of the AHP, to investigate the relative importance of the criteria and alternatives for the identification of phenotypes of performance variability, as well as the aggregation of variability. The results of this study demonstrate that this combined technique FRAM-AHP can be used to assess and quantify the performance variabilities that may lead to occupational or environmental accidents and provide new recommendations about how work processes should function, minimizing production losses, incidents and accidents.
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Rosa, L.V., Carvalho, P.V.R., Haddad, A.N. (2020). FRAM-AHP: A Resilience Engineering Approach for Sustainable Prevention. In: Arezes, P., et al. Occupational and Environmental Safety and Health II. Studies in Systems, Decision and Control, vol 277. Springer, Cham. https://doi.org/10.1007/978-3-030-41486-3_14
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