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).
MOSIMTEC uses simulation models as sales tools to help quick service restaurants (QSRs) and equipment vendors demonstrate the value of product holding units (PHUs) by illustrating how factors like hold time impact food waste, cooking cycles, and overall efficiency.
At MOSIMTEC, we often say our job is to answer the questions our clients are not asking. If a system has complex (or even simple) interactions and variability, chances are it will benefit from simulation.
Six ways digital twins can help manufacturing be ready for the Industry 4.0 age. From predictive maintenance to customization-at-scale.
The National Academy of Engineering released a report highlighting key research gaps and future directions for digital twins, emphasizing their transformative potential in fields like healthcare, climate prediction, and engineering.
MOSIMTEC’s digital twin of Sibanye-Stillwater’s Nye Mine reduced backfill scheduling time, provided early visibility into bottlenecks, and enabled more frequent and accurate forecasting, ultimately optimizing operations and resource management.
Digital twins can help oil and gas companies reduce emissions, optimize production, and enhance operational efficiency by integrating real-time data from physical and digital assets.
MIT Technology Review’s top 10 technologies for 2024 highlight advancements in AI, renewable energy, computing, and healthcare, including generative AI, super-efficient solar cells, enhanced geothermal systems, and CRISPR-based gene editing.
MineTwin (MT) is a powerful simulation-based decision support tool that helps underground and surface mines optimize operations by modeling real-world constraints, improving planning, and reducing costs. MT has delivered significant ROI by optimizing equipment allocation, enhancing scheduling, and increasing production efficiency, making it a valuable tool for future-proofing mining operations.