By Engr. Tokunbo Aregbesola
In mining operations, equipment performance is often discussed in terms of horsepower, bucket capacity, or payload. Yet one of the most influential factors in productivity sits in the operator’s seat. Two operators on the same machine can produce vastly different results, even under identical conditions.
From an engineering perspective, mining equipment is designed with performance margins that rely on correct operation. Efficient digging techniques, smooth control inputs, and proper machine positioning reduce cycle time and mechanical stress. Poor operation, on the other hand, wastes energy, increases wear, and shortens component life.
One of the most common productivity losses comes from inefficient digging techniques. Incorrect bucket entry angle, excessive penetration force, or repeated repositioning extends cycle time. Skilled operators understand material behavior and adjust techniques accordingly, allowing the machine to work with minimal resistance and maximum efficiency.
Machine positioning is equally important. Proper alignment between excavator and haul truck reduces swing angle, improves stability, and speeds up loading. Poor positioning forces longer swing cycles and increase fatigue on swing components. Over a full shift, these small inefficiencies add up to significant lost production.
Fuel efficiency is closely tied to operator behavior. Aggressive acceleration, unnecessary idling, and improper gear selection increase fuel consumption without improving output. In Nigerian mining operations where fuel costs are a major expense, operator-driven inefficiency directly affects profitability.
Equipment longevity also depends heavily on operator skill. Smooth operation reduces shock loading on structures, pins, and hydraulic systems. Conversely, harsh operation accelerates wear and leads to premature failures.
The cost of replacing worn components often far exceeds the cost of training operators to use equipment correctly.
Training, however, is often undervalued. Many operators learn through informal methods, copying good or bad habits from others. Structured training focused on machine fundamentals, site-specific conditions, and performance metrics can dramatically improve output. Even experienced operators benefit from refresher training as equipment and site conditions change.
Local realities must be acknowledged. Skill shortages, high operator turnover, and limited access to formal training are common challenges in Nigerian mines. This makes internal training programs, mentorship, and performance monitoring even more important.
Technology can support operator improvement. Basic telematics data such as idle time, fuel consumption, and cycle counts provide objective feedback. When used constructively, this data helps identify training needs and recognize high performers.
Ultimately, machines do not produce material, operators do. Mines that invest in operator development consistently achieve higher productivity, lower costs, and improved equipment reliability.
Practical Takeaways:
Operator technique directly affects cycle time and output.
Proper machine positioning improves productivity and reduces wear.
Fuel efficiency depends heavily on operator behavior.
Training delivers high returns at relatively low cost.
Use performance data to support continuous improvement.
In mining, the most powerful upgrade you can make is often not to the machine, but to the person operating it.
