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Optimization of semi-mobile in-pit crushing and conveying production scheduling

Author

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  • Shamsi, Mohammad
  • Ataei, Mohammad
  • Nehring, Micah
  • Pourrahimian, Yashar

Abstract

One of the most important problems of open-pit mining is the transportation system's high cost, accounting for up to 50 % of operating costs. Nowadays, In-Pit Crushing and Conveying systems (IPCC) receive more awareness and attention because of lower operating costs and compatible environment-friendly conditions against traditional Truck and Shovel system (TS). This paper describes the principle elements of Semi-Mobile In-Pit Crushing and Conveying haulage system (SMIPCC) production scheduling. A mathematical Mixed-Integer Linear Programming (MILP) optimization model was developed to maximize the Net Present Value (NPV) of long-term open-pit mine production scheduling considering the SMIPCC for concurrently transporting ore and waste material. The model simultaneously determines the production schedule while considering the waste and ore semi-mobile crusher's optimum number, location, relocation time, and future positioning. The crusher's capacity and relocation time consumption due to a decreasing production rate are also considered. This approach aims to maximize the NPV and ensure a suitable feed for the processing plant over the mine life, considering all mining and transportation constraints and treating these factors as a joint optimization problem. The model is subsequently applied to a case study to determine the variables' optimal values and highlight the importance of the interconnected factors within the proposed comprehensive approach.

Suggested Citation

  • Shamsi, Mohammad & Ataei, Mohammad & Nehring, Micah & Pourrahimian, Yashar, 2025. "Optimization of semi-mobile in-pit crushing and conveying production scheduling," Resources Policy, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:jrpoli:v:110:y:2025:i:c:s0301420725002934
    DOI: 10.1016/j.resourpol.2025.105751
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    References listed on IDEAS

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