A multi-objective Fuzzy Robust Optimization model for open-pit mine planning under uncertainty

In open-pit mines, transporting ore from the pit to unloading sites is one of the most significant factors driving both cost and environmental impact. However, uncertainty in truck arrival times and ore transport rates due to varying weather conditions, physical limitations, and mental states of the...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 29; H. 1; S. 213 - 235
Hauptverfasser:	Soleimani Bafghi, Sayed Abolghasem, Hosseini Nasab, Hasan, Fakhrzad, Mohammad Bagher, Soltani, Roya, Yarahmadi Bafghi, Ali reza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Capital losses Computational Intelligence Control Efficiency Emission standards Emissions Energy consumption Engineering Greenhouse gases Integer programming Investigations Iron compounds Linear programming Literature reviews Mathematical Logic and Foundations Mathematical models Mechatronics Mines Mining Multiple objective analysis Net present value Objectives Operating costs Optimization Optimization models Production planning Robotics Robustness (mathematics) Sensitivity analysis Trucks Uncertainty analysis Weather Uncertainty Truck allocation Fuzzy Robust Optimization Open pit mine Multiple objective programming
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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