Available July 2025
Available July 2025
Underground Mining Simulation
Built for study and site engineers. Our tool is easy to use and flexible, enabling teams to evaluate mine plans, optimise short-term schedules and intra-shift planning, mitigate risks, and uncover new opportunities for operational excellence.
Combining a digital mine model with simulated real-time equipment movement and traffic rules, the tool identifies bottlenecks, boosts equipment utilisation, and maximises ore movement.
Mine Smarter. Mine More.
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Sweat those Expensive Assets
Ensures haul trucks and loaders operate at peak performance, reducing idle time.
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Boost Revenue from Ore
Strategically simulates material flow to increase ore throughput and reduce bottlenecks.
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Eliminate Bottlenecks
Detects traffic congestion, delays and inefficiencies in real-time to improve mine flow.
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Optimise Short-Term Scheduling
Engineers can simulate and refine intra-shift plans to maximise operational efficiency.
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Business Improvement Toolkit
Helps teams anticipate issues before they happen, minimising disruptions. Reducing downtime and delays.
Product Video
How Do You See the Use of Simulation Transforming Decision Making in Mining?
Our simulation platform maximises efficiency and minimises downtime, enabling you to test key elements of mine design, empowering your mine teams to streamline operations, reduce downtime, and drive peak performance - every shift, every time.
Features and Benefits
Study Setup, Simulation Execution and Result Comparison
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Create a study for an underground mine, configure and execute multiple simulations based on different operational scenarios.
Adjust key variables such as equipment make, model and count (e.g., haul trucks, loaders)
Modify the locations and quantities of primary ore and waste material sources
Simulate various configurations and assess impacts on operational efficiency and resource utilisation.
Comparative results in the form of detailed reports, charts and 3D visualisations.
Compare key performance metrics - such as cycle times, equipment utilisation, and material flow - across different scenarios to identify the most effective strategies for improving operations.
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Test and compare a range of configurations within a single study, to make better data-driven decisions.
Adjust equipment parameters and material flow conditions, to evaluate impact on operational performance and identify optimal strategies to enhance efficiency, reduce costs, and improve resource allocation.
Streamline testing of new set-ups and provide insights into the most effective ways to optimise underground mining operations.
Scenario Configuration for Loaders, Trucks and Stockpiles
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Easily configure material movement scenarios by inputting key parameters such as the number of loaders, haul trucks, stockpiles, and material types.
Automatic definition of the most efficient routes for trucks and loaders based on mine layout ensuring smooth material flow from primary stopes and headings to the surface via intermediate stockpiles.
Automatic calculation of travel times, factoring truck load capacity, distance and more.
Adjust task parameters such as material handling requirements and stockpile capacities and simulate the entire process.
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Quickly create highly accurate scenarios, ensuring optimal equipment utilisation, task sequencing, and resource allocation.
Reduce manual planning efforts, minimise delays, and ensure the efficient movement of material, ultimately improving productivity and lowering operational costs.
Comprehensive Traffic Flow for Underground Declines and Levels
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Simulate realistic underground mine traffic flow by modelling the movement of haul trucks, loaders, and other equipment within declines and levels.
Includes variables such as truck load, travel time, speed limits, equipment speeds (both loaded and empty), and the locations of passing bays.
Model interactions between different types of vehicles, ensuring that their movements are coordinated to avoid congestion and bottlenecks.
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Highlight potential bottlenecks and congestion hot spots, visualising how different equipment types impact traffic flow and idle times.
Identify areas where additional vehicles may cause delays or inefficiencies, enabling proactive adjustments to minimise congestion.
Optimise the movement of all vehicles, avoiding unnecessary idle times, improve traffic coordination and enhance overall operational efficiency.
Enhanced 3D Visualisation for Mining Workflow and Equipment Interaction
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Provides detailed, interactive 3D simulations of underground mining operations, visualising the movement of loaders, haul truck routes, stockpile management, and decline traffic flow.
Explore and interact with the mining environment in simulated time, observing how equipment moves, interacts, and impacts the overall operation.
Track truck and loader activity, monitoring material flow, and visualising stockpile levels and traffic patterns.
Create additional scenarios to simulate various conditions, such as changes in equipment, material availability, or stockpile capacity to assess potential impacts on the operation.
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Comprehensive, intuitive visual representation of the mining operation, enhancing the understanding of equipment interactions and material flow.
Quickly identify potential inefficiencies, traffic bottlenecks, and resource imbalances.
Provides a clear view of the entire operation, allowing for informed decisions, optimised resource allocation, and enhanced coordination across teams ultimately improving operational efficiency and reducing downtime.
Automated Reporting and KPI Dashboards
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Comparative results in the form of detailed reports, charts, and 3D visualisations for intuitive, interactive insights.
Compare key performance metrics - such as cycle times, equipment utilisation, haul truck efficiency, material flow and stockpile levels - across different scenarios to identify the most effective strategies for improving operations.
Easily access performance data and visually track how different variables affect the operation in simulated time, monitoring trends and identifying operational bottlenecks.
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Enable real-time monitoring of critical KPIs such as truck cycle time, tonne-kilometer (TKM), and loader utilisation, providing clear visibility into operational performance.
Track the utilisation of available time for loaders and optimise haul truck efficiency, identify inefficiencies, reduce delays, and improve overall material transport.
Real-time insights into primary tonnes moved and loader activity help to maximise equipment productivity, streamline workflows, and enhance decision-making for improved operational outcomes.
Multi-Scenario Planning and "What-If" Simulations
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Simulate multiple scenarios by adjusting key parameters such as task schedules, mining sequence, or resource availability.
Identify potential inefficiencies or disruptions before they happen, allowing teams to test various strategies, resource allocations, and schedules in a controlled environment.
Explore the impact of changes in task priorities, equipment availability, or material flow to understand how these variables affect the overall mining operation.
Automated calculation of travel times, factoring in factors like truck load capacity and distance.
Adjust task parameters such as material handling requirements and stockpile capacities and simulate the entire process.
Comparative results in the form of detailed reports, charts, and 3D visualisations.
Compare key performance metrics - such as cycle times, equipment utilisation, and material flow - across different scenarios to identify the most effective strategies for improving operations.
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Enhance planning accuracy by enabling teams to proactively identify and address potential issues, reducing the risk of costly disruptions or misalignment between stakeholders.
Adapt to unforeseen circumstances and make informed decisions, improving efficiency and minimising downtime.
Meet the Product Manager
Dave Andrews
Let’s Talk
Whether you're curious about our offerings, want to schedule a demo, or have a challenge you want to discuss, reach out to us anytime.
Feature Case Study
Uncovering the Differences in Agent Based and Discrete Event Modelling
Feature Video
Agent-Based Simulation for Optimising Underground Mine Operations
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