● Current fatigue monitoring systems fail to detect fatigue once the event has occurred; QPIFAT complements this approach by observing the state of the system prior to collapse, when it is still possible to intervene preventively and in a less disruptive manner. ● While the current system focuses on managing individual conditions, QPIFAT is oriented towards managing the systemic state, integrating observable, latent, human and environmental variables. ● The proposal does not require the incorporation of new hardware, but rather a reorganization of the existing intelligence and data already available in the operation. ● This version describes the theoretical framework, methodology and a conceptual application, in line with the WMC 2026 guidelines; empirical validation and coefficient calibration will be developed during the pilot phase according to the official schedule. ● No claims of risk reduction or performance improvement are made at this stage. REFERENCES Reason, J. (1997). Managing the Risks of Organizational Accidents. Ashgate. Hollnagel, E. (2014). Safety-I and Safety-II. Ashgate. American Psychological Association (2009). Publication Manual of the APA (6th ed.). 13
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