Titan 3330™ Reduces Truck Over and Underloads

The Titan 3330 payload monitoring system delivered a 23% reduction in truck underloads.

Background

Location
Western Australia

Commodity
Gold

Digging Conditions
Medium Impact / Medium Abrasion

Machine
Backhoe

Make & Model
Liebherr R9200

The Challenge

A Western Australian gold miner recognized significant accuracy variation in their truck payload systems, as well as a need for a single point of reference for payload and production information. The challenge was placed to reduce both truck overloads and underloads, while increasing productivity using a single dig unit based productivity solution. CR Digital worked closely with the miner to understand the problem and provide the solution.

The Solution

CR Digital’s experienced field technicians and engineers worked with the miner to review the conditions, existing baseline data sets, and maintenance downtime schedules. With this research, CR Digital was able to recommend the Titan 3330 Load Haul Optimization system be installed directly onto their Liebherr R9200 backhoe.

CR Digital’s production and duty monitoring system is specifically engineered to optimize the productivity of surface dig units by providing real-time feedback to operators on truck payload, machine duty, and a suite of production metrics.

CR Digital field support teams worked with the Miner to conduct training with their operators. Training material included how to use the intuitive in-cabin touch screen interface and how to load trucks more accurately utilizing real-time feedback. A comparison of the baseline period data to post-operator training data demonstrated the value of the Titan 3330 system to their operation.

The Outcome

Improved Productivity

Reduced Overloads & Underloads

Increased Average Truck Payload

The Impact

The Titan 3330 Load Haul Optimization system delivered:

  • 1.2% reduction of truck Major Overloads (>120% rated capacity)
  • 23% reduction of truck Underloads (<100% rated capacity)
  • 15.5% increase in Instantaneous Productivity (1.4% increase in Operational Productivity)
  • 2% reduction of truck Minor Overloads (>110% rated capacity)
  • 25 tonne increase in average truck payload

THE RESULTS

1.2

Fewer Truck Major Overloads

23

Fewer Truck Underloads

15.5

Increase in Instantaneous Productivity

25

Tonne Increase in Average Truck Payload

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