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    MineTwin for mine planners: discrete‑event simulation of fleets, haulage and risk

    November 14, 2026|

    Reviewed by Tom Sullivan

    MineTwin for mine planners: discrete‑event simulation of fleets, haulage and risk

    First reported on International Mining – News

    30 Second Briefing

    MineTwin uses a detailed discrete‑event simulation engine to build fast, fit‑for‑purpose digital models of both underground and open‑pit mines, allowing planners to trial fleet mixes, haulage layouts and production schedules before committing capital. By virtually testing equipment selections and operating strategies, teams can quantify bottlenecks, queuing and utilisation effects that are difficult to see in spreadsheets or static mine plans. The approach reduces decision risk on major items such as truck–shovel fleets, crusher locations and ramp designs without disrupting live operations.

    Technical Brief

    • MineTwin’s core is a discrete‑event simulation engine explicitly modelling unit operations and material flows.
    • The platform builds mine-specific logic blocks for loaders, trucks, crushers, conveyors, stockpiles and hoisting systems.
    • Event sequencing captures delays, breakdowns and shift-change effects that are usually hidden in deterministic plans.
    • Underground and open‑pit layouts are represented as networks of nodes and arcs for ramps, levels and intersections.
    • Queuing behaviour at loading, dumping and passing bays is simulated using stochastic arrival and service-time distributions.
    • Time‑dependent rules allow users to test phased cutbacks, panel sequences and infrastructure relocations in one model.
    • Scenario runs can be repeated with different random seeds to generate probabilistic ranges for key production KPIs.
    • Wider adoption of such mine‑scale discrete‑event models is enabling portfolio‑level comparisons of alternative project concepts.

    Our Take

    MineTwin sits within a relatively crowded field of 45 Software stories in our database, but very few of those explicitly focus on decision-testing environments, suggesting this product is targeting a more specialised niche than generic mine planning tools.

    International Mining also appears in recent coverage of IMARC and AIMEX, where rapid deployment of AI in planning and operations is a core theme; positioning MineTwin here signals that digital twin-style decision software is being framed alongside AI as a key enabler for critical minerals and complex project pipelines.

    With International Mining repeatedly associated in our coverage with technology-forward topics such as Sandvik’s postgraduate mining engineering programme, MineTwin’s visibility through this channel is likely aimed at early adoption by technically sophisticated operators and consultants rather than late‑stage followers.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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