Net Smelter Return
Set concentrate targets pose a high risk to achieving maximum revenue.
Net Smelter Return (NSR) optimiser will remove this risk and maximise the value of your concentrate revenue.
NSR optimiser is a tool created to help Plant Operations and Sales & Marketing Teams (Commodity Traders).
It helps set plant concentrate targets that will achieve the highest royalty return based on a number of factors (feed grades, throughput rates, payment terms & transport costs). This ensures the best overall business decision as opposed to the best technical decision can be made.
The NSR Optismer is customised exclusively for your site. Using advanced simulation, plant parameters can be aligned to final revenue to facilitate conversations between departments (Operations and Sales / Marketing).
The tool is ideally suited for use by the metallurgy team as part of the production planning & forecasting processes. Results can be constrained based on concentrate handling limits, minimum concentrate targets and penalty elements.
Flexible deployment options are tailored to each site’s specific needs during implementation, providing you with a deeper understanding of where the true value in your product is deriv d, along with its costs and value trade offs.
For more information, download the Technical capabilities statement from the link below.Download
Provide an easily interpreted heatmap visualisation which is used to very quickly show the target zone for highest value.
A suite of easily interpreted visualisations that help data review and decision making.
Identifies your forecasted feed parameters and incorporates process plant constraints.
Identifies tactics aligned to the process plant’s unique constraints.
Answers financial questions such as ‘What should plant parameter set points be to maximise revenue rather than product?’
Enables you to determine what uplift in net smelter return revenue would be expected if concentrate targets are changed from “x” to “y”.
Enables you to determine what change in net smelter return would be expected if metal prices changes. For example: What if there is an increase in the Cu price and a drop in the Au price, do I still need to target the same concentrate targets to maximise revenue?
Enables you to determine what targets should be set for changes in feed grade.
Provides a collaborative tool for Plant Operation and Marketing Teams to make the best overall business decision for product sales.
Facilitates communication between operations and marketing teams, creating alignment within your organisation.
Provides a revenue model that can generate optimum production KPIs metrics (plant parameter set points) to maximise revenue.
An ultra-fast tool for evaluating business decisions in relation to product and operating tactics.
Can be used as strategic system to establish budget and forecast quality and quantity targets for the processing plant.
This dynamic product simulation tool enables you to control the input parameters based on feed grade and feed throughput, to determine the optimal parameters required to deliver best product return.
The system utilises well matured data sets which are already tracked for financial purposes with a high level of accuracy and reliability (for example laboratory assay results).
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