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Cycle Time Optimization

Achieve cycle time efficiency by fully leveraging sensor data

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Overview

As sensors and autonomous drilling systems become more common in the mining industry, cycle time optimization of the drilling and blasting process can more effectively reduce downtime, inefficiency, and costs. With insights garnered from sensor data, mining professionals can more easily and quickly identify bottlenecks in the cycle and areas for improvement.

The strategic use of data analytics also enables modifications to drilling patterns, explosives usage, powder factor, stemming, firing sequence, and other parameters based on actual conditions at the mining site.

By conducting comprehensive geological assessments and using advanced modeling software, mining companies have greater opportunities to design blast patterns tailored to specific rock types for improved fragmentation and reduced downstream processing time.

Key Client Challenges

How can we effectively reduce cycle times without compromising safety standards and risking accidents during drilling and blasting operations?

How do we effectively implement best practices for blast design to achieve optimal fragmentation, improve bucket fill, reduce the number of loading passes, and decrease processing time in crushers and mills?

What data and key performance indicators (KPIs) should we monitor to identify bottlenecks and areas for cycle time optimization?

How YCP Unison Can Help

While striving to reduce cycle time, safety remains a top priority. It is essential that strict safety standards are maintained, and that more rapid drilling and blasting processes do not result in accidents.

YCP Unison experts can work closely with your team to implement the systems, processes and behavioral changes needed to ensure your employees are adhering to drilling and blasting best practices. By encouraging employees to identify areas for cycle time optimization, measurable changes can be implemented at every organizational level sustainably and safely, resulting in lasting change and efficiency gains.