MineTwin (MT) is a configurable simulation-based decision support tool for underground and surface mines. It provides fast/powerful simulation models that consider constraints and inter-dependencies of real-world mines including:
-
Development and production mining
-
Flexible rules of shift-to-shift scheduling
-
Drilling, blasting and bolting
-
Road surface quality and slopes
-
Transloading and using intermediate ore buffers
-
Queueing in front of ore passes
-
Scheduling rail operations/transportation
-
Crushing/hoisting ore
-
Dependencies between processes in same stope/between stopes
-
Delays caused by other activities e.g. de-watering, ventilation
MT helps mining companies in all mine lifecycles including: (1) Company plans to implement new technology where operational/financial impact is hard to estimate (2) Mine plan is not fulfilled due to sub-optimal planning, inefficient equipment allocation or bottlenecks (3) Company needs to estimate performance of a future mine or existing mine after expansion and (4) High costs of buying/operating mining equipment, with unclear rate of return.
MT also helps solve the following problems:
-
Increased costs for purchase/operation of mining equipment
-
Unbalanced value chain – excess ROM volumes, wrong mix of grades in stopes/blocks, starvation of haulage and drilling equipment
-
Suboptimal planning/scheduling of teams and equipment with high congestion, lack of development mining, or lots of rework and rehandling
-
Inability to justify impact of new mining technology (e.g. conveyors, railveyors, autonomous equipment, remotely operated trains, surge loaders)
MT has been used for a wide range of mining providers. For a leading producer, it was used to create a configurable digital model of 6 underground copper/nickel mines. Results included savings of $262 Million due to equipment fleet optimization, a MT ROI >800% due to more optimal scheduling and redistribution of equipment between mines, and determination of ROI for 10 initiatives, including fast borers, railveyors, hot seat shift changes, etc.
For a European mining company, MT was used to create a decision support system for potash mines. This increased monthly mine plan accuracy by 10%. Simulation was also used to determine targets for mining teams, with production rising 3-5% due to more incentivized mine workers. Operational improvements were also tested that led to a 12% increase in production without capex.
MOSIMTEC is a licensed provider of MT. We specialize in digital twin and advanced simulation technology for mining companies and have done dozens of mining projects, including all aspects of the value chain (mining, processing, supply chain and more) across many mine types, geographies and minerals/products over 15 years to help companies improve performance. Our industrial engineers/data scientists can help future-proof your mining operation.
#mining #strategicplanning #operations #production #MineTwin #digitaltwin #simulation
Read More: https://mosimtec.com/minetwin-mining-simulation-software/