MOSIMTEC demonstrates MineTwin’s discrete-event simulation capabilities for mine planning and investment decisions, featuring live examples of buffer sizing optimization, equipment maintenance impact analysis, and Railveyor material handling.
An underground fluorite mine faced significant complexity due to unpredictable geology and a complicated haulage network. To support a production increase, the company needed clear answers to two key questions: Would the planned…
A complex underground mining operation in North America, with multiple ore bodies, development areas, and shared infrastructure needed a way to evaluate different improvement opportunities. Traditional planning approaches, relying on static schedules and…
Nornickel, a leading global producer of nickel and palladium, implemented a simulation-based decision support system (MineTwin) to improve planning and coordination across six of its underground mining operations. The model has been in…
South Crofty, a historic underground tin mine in Cornwall, UK, is being redeveloped by Cornish Metals. To validate the restart plan, which includes shaft rehab, developing underground infrastructure, and a phased ramp-up, Tomahee…
Not all mining equipment failures have the same impact on production—simulation with MineTwin shows that downtime for one class of equipment reduces throughput far more than another. By modeling different failure scenarios, mining operations can focus maintenance budgets where they deliver the highest return.
In mining operations, bottleneck steps—like shovels or crushers—dictate overall system throughput. Ensuring these bottlenecks are never idle (starved) is critical. While delays at non-bottlenecks have little impact, lost time at bottlenecks directly reduces throughput and increases work-in-progress (WIP).