Simulation Engineering

Opti-Num helped a leading mining group turn Fleet Management System data into actionable insights that improved safety, cut costs, and boosted efficiency.

CLIENT
A leading global mining group
sector
Mining
Read time
10 Min
Overview
The Challenge
The Solution
The Results
The numbers

The Challenge

A leading global mining group operating large-scale open-pit and underground mines collected extensive operational data through their Fleet Management System (FMS). Despite the wealth of information—ranging from vehicle telemetry to road condition indicators—much of the data remained under utilised. Operational inefficiencies, maintenance delays, and inconsistent analysis practices limited the full value that could be derived from this data.

The client sought to enhance fleet productivity and safety through a data-driven approach to decision-making. Specific challenges included identifying high-speed cornering that accelerates tyre wear, monitoring road degradation, optimising dispatch beacon placement, and analysing vehicle availability and operator activity. However, variable data quality and sensor limitations posed technical uncertainties in reliably modelling and visualising this information.

Opti-Num was brought in to design a series of analytics tools and visualisations that could be deployed across mining sites—equipping site teams with meaningful, real-time insights for continuous improvement.

The Solution

Opti-Num developed a modular suite of analytics applications, each focused on addressing a high-impact operational issue. Built using MATLAB and deployed as standalone executable tools, the solution was engineered for seamless use by engineering teams without requiring MATLAB licenses or programming knowledge.

Delivered capabilities included:

  • Cornering Analytics – Detection and flagging of high-speed cornering events to reduce tyre wear and support safer operating procedures.
  • Dispatch Beacon Evaluation – Mapping and analysis of beacon signal strength and usage to guide optimal positioning for fleet communication.
  • Road Health Assessment – Use of frame torque and sprung weight data to model road degradation, supporting predictive maintenance interventions.
  • Vehicle Status Breakdown – Detailed time-series insights into vehicletransport states (e.g., idle, hauling, waiting) linked to operator shifts andsite activity.
  • Unified Visualisation Tool – A geospatial dashboard integrating outputs from all modules, offering engineers a comprehensive, shift-level overview of fleet performance.

Each subproject produced technical reports, summary insights, and visual overlays to highlight areas of opportunity or concern. Where data was incomplete or inconsistent, Opti-Num adjusted modelling strategies and aligned deliverables with the specific realities of each site.

The Outcome

The implementation of the fleet analytics toolkit unlocked substantial operational and financial value for the mining group:

  • Tyre and Road Maintenance Cost Reductions – High-risk behaviours and wear patterns were proactively identified, improving asset longevity and safety.
  • Higher Fleet Availability – Data-informed repositioning of beacons and status tracking improved dispatch efficiency and reduced idle time.
  • Empowered Site Teams – Engineers received intuitive tools to explore and interpret FMS data themselves, fostering local ownership of performance improvements.
  • Predictive Maintenance Enablement– Road degradation models enabled earlier, more strategic interventions.
  • Scalable Framework – The modular, repeatable design of each tool allowed for future deployment across additional sites with minimal rework.

By collaborating closely with operational stakeholders and tailoring the analytics to real-world constraints, Opti-Num helped transform raw telemetry into site-specific intelligence—demonstrating the untapped power of FMS data in driving smarter, safer mining operations.

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