11.SCALABILITY This scalability positions QPIFAT not as a site-specific tool, but as a transferable, anticipatory framework for high-energy mining systems globally. 12.DISCUSSION The conceptual simulation developed allows for the analysis of the behavior of the Quantum Potential Index applied to fatigue (QPIFAT) as a systemic indicator oriented towards anticipating high-potential states, rather than directly predicting events. The value obtained (59.4) should be interpreted as a measure of the level of accumulation of conditions that increase the potential for occurrence of high-energy events associated with fatigue and drowsiness. The QPIFAT is conceived as a continuous indicator, where increasing values reflect greater convergence among observable variables, latent conditions, human factors, and environmental conditions. In the case analyzed, the value of 59.4 falls within a preliminary range of high latent potential, indicating that the haulage system could be operating under a configuration that warrants preventive attention at a systemic level, even in the absence of widespread critical alarms. For interpretive purposes, and considering the conceptual nature of the model, exploratory QPIFAT ranges are proposed. Values below 30 would represent a state of low latent potential, while values between 30 and 45 would indicate moderate potential requiring enhanced monitoring. Values between 45 and 60 would reflect a state of high latent potential, and values above 60 would suggest a critical condition approaching systemic collapse thresholds. Preliminarily, it can be stated that a state of high latent potential does not exist when the QPIFAT remains below 45, without a sustained upward trend. It is important to note that these ranges are exploratory and not normative and will be calibrated during the pilot phase using real system data. The main contribution of QPIFAT is not to replace existing fatigue detection systems, but to complement them by providing an anticipatory reading of the system's state before observable events occur and supporting earlier and more systematic preventative management. This approach allows for a shift in fatigue management from a predominantly reactive approach to a systemic and preventative one, aligned with the challenges of large-scale mining and with the goal of building safer, more resilient, and sustainable operations. 13.ACKNOWLEDGMENTS Vice Presidency of Operations, Vice Presidency of SHE, Vice Presidency of HR, Mine Operations Management, Mine Management Superintendence, Mine Management Engineers, Operational Excellence Management, Safety and Health Team of Minera Las Bambas. 14.CONCLUSIONS ● The Quantum Potential Index applied to fatigue and drowsiness is a conceptual proposal aimed at anticipating high potential states in mining haulage systems before their operational manifestation. 12
RkJQdWJsaXNoZXIy MTM0Mzk2