incorporated factors such as nighttime operation, prolonged ramps, the presence of water on the runway, dust, and cabin vibration. The normalized values used in the simulation were as follows: ● O = 0.68, corresponding to a high rate and recurrence of fatigue alerts. ● L = 0.60, associated with an accumulated fatigue evident in historical trends. ● H = 0.55, representative of recidivism combined with heterogeneity in the experience of the operators. ● E = 0.45, related to the combination of night operation, demanding geometric conditions, presence of water, dust and vibration. It should be noted that, although the variables are derived from real data structures of the system, the numerical values used correspond to a conceptual simulation and not to empirically measured or validated results. The simulation was performed using initial coefficients: α = {0.35, 0.25, 0.25, 0.15} Ψ = ∝ . +∝ . +∝ . +∝ . These coefficients were defined through structured expert judgment, based on operational experience in large-scale mining haulage systems. They will be recalibrated during the pilot phase. The potential preventive state associated with fatigue was calculated as: Ψ = 0. 35(0. 68) + 0. 25(0. 60) + 0. 25(0. 55) + 0. 15(0. 45) Obtaining a value of: = 0.594 Ψ For direct management purposes, and considering a unit weight, the operational fatigue index is expressed as: = 1. 0 = 100×0. 594 = 59. 4 This value does not represent an individual operator in a state of fatigue but indicates that the haulage system is operating in a state of high latent potential, characterized by the coexistence of multiple conditions that increase the probability of occurrence of high energy events. The result suggests that, even in the absence of widespread critical alarms, the system may be in a configuration that warrants preventive attention at a systemic level, reinforcing the value of QPIFAT as an anticipatory complement to traditional detection approaches. A high QPIFAT value does not indicate that an accident will occur, but rather that the system is operating in a configuration where multiple high-potential futures coexist, and where early preventive intervention is more effective and less disruptive. When can it be stated that there is NO latent high potential state? Preliminarily, and under the conceptual framework of QPIFAT, it can be stated that there is no state of high latent potential when: ● The index value remains below 45, and 9
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