Sub-Task Time Estimation
Kitting & Critical PathÂ
Overview
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:
- How can we incorporate advanced technologies like AI and machine learning into our estimation process to make it more accurate?
- What data sources and sensors should we prioritize for collecting real-time information that can enhance our time estimates for mining sub-tasks?
- What best practices exist for integrating geological and geophysical data into our estimation models to account for resource variability?
- Are there specific software tools or platforms that can help us streamline the data analysis and improve time predictions for mining operations?
- 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
OUR MAINTENANCE MANAGEMENT SERVICES
Maintenance Strategy
Wrench Time Optimization
Response Time Practices
Work Order Systems Enhancements
Equipment Aging & Bad Actors
Spares & Tools Management
Ready Backlog
Kitting & Critical Path
Subtask Time Estimation
WHY UNISON MINING
Experience
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.
Results-driven
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.
