Incorporación de costos fijos
Los costos fijos son gastos que no varían con el volumen de producción o minería., como el mantenimiento de equipos, infraestructura, y costos laborales fijos. Son fundamentales para la viabilidad económica de la operación., garantizar la sostenibilidad financiera de la mina independientemente de las variaciones de producción.
Cómo MiningMath gestiona los costos fijos
En MiningMath, Los costos fijos se pueden incorporar directamente al modelo minero, garantizar que se tengan en cuenta en los procesos de toma de decisiones.
MiningMath también permite la optimización de pozos, con el objetivo de maximizar el flujo de efectivo no descontado, considerando los costos fijos y todas las restricciones deseadas. This enables an economic feasibility assessment of specific regions throughout the project’s lifespan. Para hacer esto, binary decision field must be used, which require additional configurations in the block model and the pit optimization scenario.
Experimental approach!
This methodology is an experimental approach, and MiningMath wasn’t specifically built for this use case. Unforeseen results might arise. If you experience any issues or inconsistencies, we suggest contacting our support team for help.
Block model configuration steps
1. Add a special block just above the topography
Create a block just above the defined topography, avoiding the model’s edges. Alternativamente, select an existing block at the topography level; en este caso, its related field values must be considered in the analysis of the results.
To prevent interference with scenario constraints, Este bloque debería tener:
Muy baja densidad;
Una pendiente de 89.9999;
Valores nulos para cualquier restricción adicional impuesta en el escenario.
El bloque también debe contener el valor del costo fijo para todos los campos de valor económico..
2. Agregar un campo de decisión binario para la región
Crear un nuevo campo en el modelo de bloques para la toma de decisiones binarias. Este campo debe:
Tiene un valor negativo igual al número de bloques de la región o un valor aún menor para el bloque especial.
Tiene un valor de 1 para todos los bloques de la región con costos operativos fijos.
Tiene un valor de 0 for all other blocks that do not belong to the region.
3. Import the block model
Perform the standard block model importar. During the field type definition, set the created decision field as SUM.
4. Validate the imported field
Después de importar, visualize the block model using the software’s viewer. Check that the values assigned to the binary decision field are correct and properly distributed as expected.
Scenario configuration steps
1. Create a pit optimization scenario
Create a pit optimization scenario where the pit’s lifespan is limited to a defined period. Además, include all project constraints for the mine’s entire lifespan. To streamline the optimization process, it is recommended to avoid geometric constraints, as this will help reduce complexity.
2. Create the binary restriction
In the sums tab, set the maximum value to 0 for the special field created.
3. Execute the scenario
Run the scenario and validate the obtained results.
Final considerations
With this configuration, whenever any block in the region is mined, the special block containing the fixed cost must also be mined. This ensures compliance with the restriction and guarantees that the fixed cost is properly included in the mining scenario.
This process should be repeated for each different fixed cost and region that needs to be included in the model to ensure proper cost allocation across the entire mining plan.
Realistic cost modeling for better planning
This approach enables a more effective and realistic modeling of fixed costs within mining planning. MiningMath’s flexibility allows users to evolve their modeling over time, expanding to more sophisticated scenarios and ensuring better operational results.
This methodology can also serve as a first step toward a more complete transition to a fully optimized environment, reducing dependence on manual solutions and increasing the reliability of internal reports.
Es más, in the long term, MiningMath can be integrated into short- and medium-term planning, providing a continuous optimization process that may eventually replace the use of other tools.
