Assisted client in evaluating plans for new underground mine. Focus was on reviewing the capacity constraints and infrastructure of the material handling system to ensure that the system was robust enough to meet expected needs and contingencies.
Some key conclusions:
- The material handling system meets defined needs, but requires ongoing control and communication.
- A ~38% cut in planned number of miners achievable, while still meeting required plant throughput (>USD10 million capital investment saving.)
- Planned capacity of certain conveyors exceed base case tonnage needs and related capital investment could be mitigated.
- Planned capacity of storage adequate to handle expected needs, though limits periodically tested.
The mining materials simulation software model also highlighted areas requiring diligent and methodical planning (resource scheduling) and assumptions and decision rules (including triggers for turning assets on and off) that have major impacts on results.
Other Case Studies
- All
- AMR
- Anylogic
- Dairy Farm Simulation
- Digital Decision Support
- Digital twin disease modeling
- Distribution Center
- Equipment Fleet Sizing
- Food system resilience and pandemics
- High Pathogenic Avian Influenza (HPAI)
- HPAI risk model
- Influenza virus mutation risk
- Medium-Term Mine Planning
- Mine Haulage Systems
- MineTwin
- MineTwin Case Study
- Mining Bottleneck Analysis
- Operational Excellence
- Picking
- Predictive disease modeling
- Production Ramp-Up
- Shaft Capacity Analysis
- Simulation
- Simulation-Based Planning
- Slotting
- underground mining
- Zoonotic disease risk modeling
