iXcede helps client deliver US $146M boost in production

eXcellerate’s premier data analytics product iXcede uncovered an 8% increase in overall production across a fleet of rope shovels and hydraulic excavators, providing targeted, unbiased and actionable feedback to operators, translating to a sizable estimated annual revenue boost of US $146M.

A recent assessment of a client operator performance system revealed critical data insights for a top 12 global Copper producer, leading to significant operational improvement in their Electric Rope Shovels, 500T Hydraulic Excavators and Ultra Class Haul Trucks.

Challenges

The current performance system did not assess on a ‘like foreXce like’ basis preventing behavioural performance uplift.

The client required a trusted and engaging system, allowing individual operators to understand their strengths and identify areas for improvement and in addition, a means to accurately identify high performing operators ensuring optimised machine time.

The client has also identified their average truck load weights were significantly less than their 306t target and required improvement in this area and an overall productivity uplift.

Findings and Solution

eXcellerate’s iXcede software was able to highlight critical insights into the operation;

• Operators regarded as high performing, when assessed on a like for like’ (LFL) basis, were in fact performing below average.
• Some operators who had been classed as low performing, when assessed on a LFL basis, were actually high performers.
• The ability to readily and accurately identify high performing operators leading to strategic allocation of resources.

Impact

• Overall, operators were provided with unbiased, accurate, targeted performance feedback improvement their digging capability.
• The client was able to recognise an increase in truck weights of 7% over an 8-month period.
• Further, average truck weights consistently surpassed the initial target of 306t, with a decrease in bucket cycle time of 8% and an increase in overall production of 8% also identified.