Sub-Task Time Estimation

Estimate sub-tasks more accurately to ensure the total hours estimated will be met or reduced
Estimate sub-tasks more accurately to ensure the total hours estimated will be met or reduced


Estimate sub-tasks more accurately to ensure the total hours estimated will be met or reduced

Accurate sub-task time estimates often rely on geological and geophysical data, which may not be available in sufficient detail or comprehensive enough. This incomplete or uncertain data can lead to inaccurate time estimates, having a trickle effect on the rest of mining operations scheduled.

When estimating sub-task times, a host of factors need to be accounted for that could influence or delay tasks. Delays in the delivery of necessary supplies and materials, logistical challenges such as transportation and supply chain disruptions, weather conditions, particularly in outdoor mining operations and mining equipment availability all contribute to deviations in sub-task times.

However, with emerging technologies, mining companies are now better positioned than ever before to improve these estimates. For instance, accurate surveying and mapping techniques, such as 3D laser scanning and ground-penetrating radar can provide a more detailed understanding of the mine site’s topography, which is key to better sub-task time estimation. Additionally, big data integration allows for the combining of data from various sources, from geology and equipment performance to environmental conditions, all providing a more complete picture of the mining operation and enhancing time predictions.

Key Client Challenges:

  1. How can we incorporate advanced technologies like AI and machine learning into our estimation process to make it more accurate?
  2. What data sources and sensors should we prioritize for collecting real-time information that can enhance our time estimates for mining sub-tasks?
  3. What best practices exist for integrating geological and geophysical data into our estimation models to account for resource variability?
  4. Are there specific software tools or platforms that can help us streamline the data analysis and improve time predictions for mining operations?
  5. How can we effectively factor in equipment maintenance and performance data to minimize downtime and unexpected delays in sub-tasks?

Lacking data to validate or support key business decisions

Lack of knowledge to define a cohesive business or data strategy

Low speed to market and trouble adapting quickly to customer and market needs

High operational costs due to lengthy data processing times


Maintenance Strategy

Define a tailor-made maintenance strategy to suit the needs and equipment of your mine
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Wrench Time Optimization

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Response Time Practices

Reduce response time and establish and communicate comprehensive practices for equipment accidents or near-misses
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Work Order Systems Enhancements

Optimize maintenance workflows to fully utilize existing work order systems and technology
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Equipment Aging & Bad Actors

Identify bad actor equipment faster to avoid accidents and downtime due to aging equipment
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Spares & Tools Management

Systemize the procurement and storage of spare parts and tools to hedge against unforeseen downtime
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Ready Backlog

Minimize delays in returning idle equipment to service by allocating a ready backlog of maintenance personnel and kitted materials
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Kitting & Critical Path

Consolidate parts, materials, and tools prior to a maintenance event to eliminate lost wrench time
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Subtask Time Estimation

Estimate sub-tasks more accurately to ensure the total hours estimated will be met or reduced.
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Our mining experts have experienced first-hand the day-to-day complexities and issues that arise at the mining face, giving them a higher level of understanding and insight to meet your challenges.

Practical Solutions

By implementing level-appropriate transformation tools, our behavioral and cultural change methodologies, data management, and analytics, our goal is to create a sustainable and positive impact on your mining operations.


We go beyond strategy to offer a direct and measurable approach to success. Our commitment extends to delivering real business outcomes and helping your team sustain those changes for the long haul.

Estimate sub-task times more accurately with emerging technologies and data utilization.

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