Your integrated project delivery partner
Product-first optimisation
Product-first optimisation
Optimising fleets for product-first outcomes
BlueForge embeds product requirements at the heart of mine and quarry optimisation through an independent study that re-engineers operations from the product backward. By aligning fleet, process, and commercial strategy with grade, size, and specification, every decision—from equipment choice to haulage and stockpiles—ties directly to cost per tonne and compliance. Options are stress-tested through scenario modelling, operations benchmarked against best practice, and performance independently verified, creating a transparent evidence base. The result is an optimised fleet and operational strategy backed by a board-ready business case for capital allocation and lifecycle care. Owners gain clarity, managers actionable pathways, and boards defendable justification for investment, reducing risk and unlocking long-term value.
Defining the fleet that delivers the product
This stage identifies the optimal mix of crushers, screens, washing systems, loaders, and haulage assets to achieve grade, size, and specification targets. Options are benchmarked against product requirements, modelled under different scenarios, and tested for alignment with product objectives. The outcome is a clear recommendation of the fleet configuration that provides the strongest technical and operational assurance.
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Aligning operations around the chosen fleet
Once the fleet is defined, operational systems are re-engineered to maximise performance. Pit design, haulage cycles, and stockpiles are assessed and adjusted to support throughput, efficiency, and product consistency. Each recommendation ensures the fleet is integrated seamlessly into the operation, with strategies designed to strengthen reliability and alignment to product objectives.
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Independent verification of product-first outcomes
This stage confirms whether operations deliver grade, size, and specification as planned. Compliance is tested through independent audits, predictive modelling, and KPI benchmarking across fleets and shifts. Findings highlight where alignment is strong and where adjustments can secure further improvement, giving decision-makers clear assurance of product performance.
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Turning fleet choices into investment cases
This optimisation study delivers a defendable business case for fleet and materials handling investments. Outcomes focus on improved grade consistency, specification compliance, and operational assurance of the recommended fleet. Lifecycle requirements are modelled against product objectives, ROI forecasts stress-tested, and risks transparently quantified. The final output is a board-ready package that justifies capital decisions and builds investor confidence in long-term performance.
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Sarel Blaauw
senior partner
+61 498 785 165