Integrated Planning

BlendOpt.Integrate can generate integrated mine plans that simultaneously consider decisions across a mining supply chain and across time.

Designed specifically for complex operations, BlendOpt.Integrate is uniquely able to simultaneously optimise processing, logistics and marketing decisions that impact production, revenue and profit.

When incorporated into a mine planning study, it creates a complete end-to-end solution for integrated Mine-to-Market plan improvement.

Key Features

• An integrated approach to mine planning.
• Model supply chains with processing, stockpiling, transport and sales, from Mine-to-Market.
• Directly integrate short-term schedules and long-term plans.
• Align sales and production planning.

Commodities

• Coal
• Iron Ore
• Graphite
• Bauxite
• Gold
• Mineral Sands

Data Analysis & Visualisation Engine

BlendOpt.DAV is a proprietary data visualisation tool. Unlike charting in Excel, BlendOpt.DAV supports a dynamic visual interrogation of data that enables you to easily pivot, group, and summarise data – eliminating the need to learn a complex database management tool.

BlendOpt.DAV is custom-built to help you consistently and efficiently find the ultimate cause of discrepancies within mining data.

BlendOpt.DAV is designed to quickly investigate variance across mine plans as well as validate whether mine planning scripts are achieving required KPIs and business rules.

Key Features

• Visual and interactive data analysis of integrated plans.
• Powerful data cross-filtering.
• Compare and discover differences across mining scenarios.
• Measure trends and evaluate risks.

Commodities

• All

Cutpoint & Wash Optimisation

BlendOpt.Processing is a holistic strategy optimisation tool that can model a variety of processing plant flow networks and processing constraints.

For instance, it can improve wash vs bypass decisions as well as the density cut-point for dense medium cyclones while accounting for washability, feed blend requirements, sales targets, and downstream/upstream inventories in the context of the integrated mine planning problem.

In addition to strategy optimisation, BlendOpt.Processing supports the detailed scheduling of daily campaigns.

Key Features

• Variable feed rates.
• Combine manual decisions with optimised decisions for cut-points.
• Combine manual decisions with optimised wash vs bypass decisions.
• Combine manual decisions with optimised product decisions.
• Wash, crusher, bypass, and rejects cost modelling.

Commodities

• Coal
• Iron Ore

Market Strategies & Optimisation

BlendOpt.MSO uniquely supports marketing teams to maximise the book value of their resources.

Using a list of product definitions, BlendOpt.MSO conducts blend optimisation to determine the right mix of product blends and volumes to maximise revenue under different market conditions.

With BlendOpt.MSO, you can automate the investigation of new product studies, revealing the price that a product becomes relevant to your operation and how this changes over time with pricing forecasts and mine plans.

BlendOpt.MSO also determines the greatest economic benefit from buying third party coal as well as how much should be purchased over time.

Key Features

• Optimise across both contracted and non-contracted sales.
• Adjust prices by product quality.
• Define and constrain products across multiple quality attributes.

Commodities

• Coal
• Iron Ore
• Graphite

Stockpile Management & Rule Engine

BlendOpt.SM stockpile modelling enables you to enhance the supportive role that stockpiling can have on product delivery while balancing this with the costs of unsold inventory.

Time-based models of stockpile quality deterioration, e.g. oxidation, can be created to directly influence planning decisions in BlendOpt’s mathematical optimisation algorithm.

Stockpile minimum capacities can be modelled to change with time when it’s important for BlendOpt plans to build up stocks.

Conversely, stockpile maximum capacities can also be modelled to change with time, enabling studies into the forced depletion of selected stock.

Key Features

• Model cargo assembly or dedicated stockpiles.
• Model material aging such as oxidation.
• Define minimum and maximum stock capacities.

Commodities

• Coal
• Iron Ore
• Graphite
• Mineral Sands