0.001 to guarantee negligible solutions for such cases. In Equation 7, , represents the recovery rate at the processing facility. 2.1.2.Uncertainty Modelling The geological risk addresses the variability of grades in the ore blocks, which means that the metal content in the material to be delivered to the processing facility is not accurately known at the time of transportation; therefore, the expected income is subject to a distribution model until the product is ready for sale. As the impact of the variability of an evaluation parameter cannot be isolated completely, the most common observation in real mines is the uncertainty of all components of the process affecting each other, or even just one source of variability triggering a chain effect that generates different scenarios for all variables under analysis. Given the full effect of the uncertainty evaluated, the recourse term on the weighted grade of the muck piles defines a variable outcome on the gross revenue obtained at the end of each period of analysis. Since each scenario is evaluated to be equally possible to occur and the accurate information is to be confirmed upon material delivery at the processing facility, the corrective action can be taken immediately to avoid further additional costs on the fleet plan. Although some solutions may result in similar upper-level solutions (shovel movements) depending on the conditions of the fleet or the availability of the input resources (accessible ore blocks). Ultimately, the overall cost improvement will be subject to the lower-level solutions (truck arrangement). 2.1.3.Constraints The full list of constraints related to operational rules for shovel, truck, and muck pile conditions, and tracking equations, is not included in this extended abstract due to space limitations imposed by the submission guidelines; however, it may be requested directly from the authors using the contact information provided. 3. CASE STUDY The proposed methodology is tested on a synthetic example that represents the daily operations at an open pit copper mine. The case study mine was built based on real mine data collected from two open pit mines with implemented Fleet Management Systems, with the behavior and features of the simulated fleet adjusted to be as faithful to reality as possible. 3.1.Overview of the Open Pit Copper Mine The mine configuration is presented in Figure 60, capturing a moment in time where four working benches have been blasted and are ready for transportation. Each bench is subdivided into two muck piles based on ore control procedures following geologic recommendations. The inner muck pile is not accessible until the exposed muck pile is fully depleted. For each muck pile, there is an associated grade distribution computed from the simulation of the reserves modelling, and the ore/waste classification is defined by a cutoff grade of 0.2900 %Cu. There are two destinations available for the material: 1. Processing Facility, and 2. Waste Dump. There are no stockpiles considered for the case study, but
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