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Manage and optimise the complexity of your stockpiles and blending

Simultaneous optimisation of process feed control strategies, stock inventories, and product portfolio using BlendOpt

Manganese operations can have a high level of complexity associated with ROM stocks and quality management with implications for contract delivery, sales and overall product portfolio.

Plans for processing, stockpiling, satisfying contractual requirements and product portfolio optimisation are difficult to align with enterprise objectives if each planning activity is developed separately instead of holistically. In practice, value-chain optimisation is only achievable through integrated planning. By integrated planning, we mean coordinated planning of decisions between mining, processing, logistics, and sales. While the importance of integrated planning is recognised, its execution is difficult without the right tools to support this process.

BlendOpt is the first mathematical optimisation software tool that supports complete integrated planning of sales and manganese value-chain strategies. Starting with a mine schedule, BlendOpt discovers strategies for how product should be processed, blended, and allocated to different product concentrates with the objective of maximising profit while satisfying contract specifications. Mathematically optimised plans are created using algorithms that test thousands of possible plans in search of the highest profit from the data provided.

BlendOpt for manganese mining and processing

The BlendOpt solution has been engineered to manage the complexity of the manganese value-chain and can support decision making in the following areas :-

  • In recent years Manganese ore price volatility has been quite high - BlendOpt can help manage volatility by supporting decision makers within the operation to make high quality cost-effective decisions in the context of unpredictable changes in prices that lead to dependable quality outcomes.
  • Manganese operations can have an unnecessary level of complexity in their stock yards, with BlendOpt's Collaborative Mathematical Optimiser (CMO) it is possible to discover ROM stockpiling strategies which simplify reserving decisions and eliminate complexity while still providing robust quality control.
  • BlendOpt can generate schedules and plans that support feed streams to processing plants that satisfy operational constraints.
  • BlendOpt aligns multi-time horizon contracts (e.g. 1 year to 5 year contracts), and integrates these contractual obligations with scheduled activities.
  • Satisfy all of your value-chain quality constraints including Mn, Fe, P, SiO2, CaO, Mg:Fe Ratio constraints, and many others that impact processing, while minimising the impact of sale price penalties - BlendOpt can incorporate complex penalty functions and quality constraints and discover integrated schedules and plans that maximise revenue potential of your operation.
  • BlendOpt can do all of the above, and much more simultaneously, so decisions for one objective are not in opposition to another at different decision points or points in time, but align silos across the operation.

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Would you like to know more?

  • Do you optimize product placement into the market?

  • Do you know when Demurrage adds value (can you spot “value justified” demurrage)?

  • Do you know in what situations your stockpile quality models increase contract rejection risk?

  • Does your planning software require stable operations, predictable markets, consistent orebodies?

  • Can you run scenarios to understand your options?

  • Does your tactical scheduling software automatically synchronize with your longer term planning tools?

  • Do your schedules reflect conditions on the ground?

  • Are your schedules tossed in the bin on day 1?

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