Titan 3330™ Minimizes Overloads

Average truck payload increased by 3 tonnes while overloaded trucks decreased by 1%.


Pilbara, Western Australia

Iron Ore

Digging Conditions


Make & Model
Liebherr 996, 996B, R9400

The Challenge

This study focuses on an Australian tier one miner based in the Pilbara operating a fleet of backhoe excavators and autonomous trucks in iron ore and waste materials. Maximizing truck payload across the fleet was high priority to the production management team. Despite the miner running the latest fleet management systems, the number of truck overloads recorded daily was identified as a bottleneck to production. Excavator operators did not have the confidence to target high-capacity loads using weights reported by truck payload systems due to variable accuracy and latency. The challenge was to provide an accurate real-time truck payload tool so that operators could increase average truck payloads and maximize productivity without increasing overloads.

The Solution

CR Digital’s experienced field technicians worked with the Miner to install the Titan 3330 Load Haul Optimization system on the fleet of Liebherr backhoes. Titan 3330 is specifically designed to enable accurate truck loading, while minimizing truck overloads by providing real-time, pass-by-pass feedback to operators. Sensors fitted on the excavator identify individual bucket cycle and truck payloads. A running summary of each truck and bucket payload is reported live on the Titan 3330 user interface.

Operator training on the Titan 3330 system was rolled out once the product was installed and commissioned. Data reporting tools were provided to the customer to observe the impact of the system.

The Impact

The Titan 3330 Load Haul Optimization system delivered:

  • 3 tonne increase to average truck payload
  • 1% decrease in overloaded/derated trucks
  • 245,000 additional tonnes moved per machine per year
  • 9.4% Reduction of truck underloads
  • 1.6% Increase in Instantaneous Productivity*
  • 1.4% Increase in truck fill factor (compared to truck rated capacity)
  • 1.7% Decrease in truck payload Spread
  • 10% Reduction in machine attachment duty

*Tramming & idle time not included



Tonne increase to average truck payload


Additional tonnes moved / machine / year


Decrease in overloaded trucks


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