Yet many mining operations struggle with siloed decision-making, where different departments optimise for their own KPIs rather than working towards a shared organisational goal. This misalignment is more than an operational headache; it’s a major value drain. Fortunately, BlendOpt provides a data-driven solution that breaks down silos and ensures every decision aligns with holistic value creation.
The Silo Problem in Mining
From the pit to the port, mining operations involve a complex interplay of teams, each with their own objectives:
- Mine Planning & Operations prioritise maximising extraction and meeting production targets.
- Processing Plants focus on efficiency and recovery rates, often preferring high-grade ore for easier processing.
- Logistics & Supply Chain optimise for transportation efficiency but may not be fully aware of upstream constraints.
- Marketing & Sales aim to secure the best contracts based on market demand, sometimes making promises that are difficult for operations to fulfil.
While each team operates with the best intentions, their isolated decision-making can lead to suboptimal trade-offs:
- A mine extracts high-grade ore to meet short-term production targets, but this creates processing bottlenecks.
- The plant rejects lower-grade ore to maintain efficiency, leading to increased stockpiles and wasted material.
- Marketing locks in contracts for a specific ore blend without considering production realities, causing supply chain inefficiencies.
These silos result in fragmented decision-making, operational inefficiencies, and ultimately, lost revenue.
Why Traditional KPIs Reinforce Silos
Most mining organisations rely on department-specific KPIs, which can unintentionally create competing priorities:
- Production Teams are measured on tonnage moved, so they focus on volume, not value.
- Processing Plants are incentivised to maintain recovery rates, so they reject ore that could otherwise be blended.
- Marketing secures contracts based on price, so they commit to product specifications that aren’t operationally feasible.
These metrics reward local optimisation rather than global efficiency, leading to decisions that make sense within silos but hurt the company overall.
For a deeper look at how department metrics can mask the true limit on value, read how local KPIs can hide the real constraint in a mining value chain.
