2349 7.WHAT RADICALLY CHANGES WITH QPIFAT + OAS? Aspect OAS today OAS + QPIFAT Approach Reagent Predictive Analysis unit Operator System + shifts + routes Horizon Minutes Days / weeks Decision Pause Shift redesign, staffing, routes Strategic value Compliance Anticipation of SIF-P (Potential Fatalities and Serious Injuries) Aspect Traditional Approach QPIFAT Horizon Reagent Anticipatory Analysis unit Operator System Time of intervention Post-alarm Pre-alarm 8.METHODOLOGY Although the focus is conceptual at this stage, it follows a clear procedural sequence that allows for its consistent application in comparable operational contexts. The methodology consists of the following stages: 8.1 Definition of data sources Existing operational data streams that will serve as inputs for the Q-SiD framework are identified and selected. These sources include, but are not limited to, outputs from fatigue monitoring systems, operational exposure indicators, work-rest patterns, and contextual operational parameters already available within the organization. No additional sensors or new data acquisition systems are required. 8.2 Selection and normalization of variables Key precursor variables associated with fatigue and exposure to high-potential energy are selected using expert judgment, ensuring their alignment with critical risk pathways. To allow comparability between heterogeneous variables, all are normalized to a common scale, enabling their integration within a single systemic representation. 8.3 Assignment of weights (expert judgment) Relative weights are assigned to each variable to reflect its contribution to the overall state of the system. The weighting is determined through a structured expert judgment process, considering operational experience, historical incident patterns, and the potential severity of energy transfer in the event of a loss of control. 8.4 Calculation of the index The normalized and weighted variables are aggregated to generate a composite indicator called the Integrated Quantum Fatigue Anticipation Threshold (QPIFAT). This index represents the system's potential state with respect to fatigue-related risk, rather than a direct measurement of the probability of incidents occurring.
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