Mining Simulation Software


"Resource Generation has coal interests in South Africa and Tasmania. Its current priority is to develop its planned Boikarabelo mine in the Waterberg region of South Africa where it has probable reserves of 745 million tonnes of coal.
Advanced quantitative analysis and the application of the latest modeling tools [from Simio] provided a means to efficiently minimize risk and effectively maximize return on investment.
Read the Case Study"

Case Studies in Mining Performance

  • Case Study 1-3: Dynamic Simulation by MOSIMTEC Improves Mining Performance:
  • Covering entire mining value chain to develop options for different impact on logistics, fleet and supply chain,
  • Complex model of production-to-open-ocean helps reduce and delay CapEx for train sets and storage,
  • Underground mine and material handling system capacity analysis shows tens of millions of dollars in savings by reducing miners 38%.
  • Click to View 3D Models and 3 Case Studies
  • Case Study 4: South African Open Pit Mine uses 3D model for optimal refueling station placement as well as fleet optimization.
    By VBKom Projects with Analista Modeling Systems
    Click to View 3D Model Click to Read Case
  • Case Study 5: Resgen's Boikarabelo Mine-South Africa: 3D Simulation model highlights key systems dynamics not evident from static analysis of the coal processing plant.
    By Ceenex LC
    Click to View 3D Model Click to Read Case

Our mining solutions encompass both open pit and underground mines. Typical application areas are:

  • Design of material handling in an open pit mine.
  • Design of conveyor systems for underground mines.
  • Evaluation of proposed operational changes.

Our modeling solutions provide answers to key questions such as:

  • What is the best truck fleet size to achieve production goals at minimum costs with respect to service, quality and cost?
  • What is the impact of adding additional cars to a train?
  • What is the impact of reallocating existing resources across operations?
  • What performance gains in terms of throughput and on-time delivery can I achieve with investments in new equipment?

What is a good simulation application?

Systems where it is too expensive or risky to do live tests. Simulation provides an inexpensive, risk-free way to test changes ranging from a "simple" revision to an existing production line to emulation of a new control system or redesign of an entire supply chain.

Large or complex systems for which change is being considered. A "best guess" is usually a poor substitute for an objective analysis. Simulation can accurately predict their behavior under changed conditions and reduce the risk of making a poor decision.

Systems where predicting process variability is important. A spreadsheet analysis cannot capture the dynamic aspects of a system, aspects which can have a major impact on system performance. Simulation can help you understand how various components interact with each other and how they affect overall system performance.

Systems where you have incomplete data. Simulation cannot invent data where it does not exist, but simulation does well at determining sensitivity to unknowns. A high-level model can help you explore alternatives. A more detailed model can help you identify the most important missing data.

Systems where you need to communicate ideas. Development of a simulation helps participants better understand the system. Modern 3D animation and other tools promote communication and understanding across a wide audience.