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A genetic algorithm model for optimising long-term open-pit mine production scheduling

Date Thu 17 March 2022, 17:00
Location Online Event
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Date: 17 March 2022
Venue: Zoom
Time: 17:00 – 18:30

About the presentation
Open-pit mine planning includes the determination of a long-term open-pit mine production scheduling (OMPS) plan. The OMPS plan is generally a three-dimensional (3D) block extraction sequence that seeks to maximise the net present value (NPV) of future cash flows, while complying with technical and operational constraints. The OMPS problem is computationally complex because it involves the analysis of large datasets, while simultaneously incorporating both multiple hard and soft constraints. The OMPS problem has been solved using deterministic or exact approaches, heuristic, and metaheuristic models. When compared to heuristic and metaheuristic models, deterministic approaches tend to take much longer to solve the OMPS problem when the
number of constraints increases. Therefore, this paper presents a metaheuristic model which utilises a genetic algorithm (GA) framework to solve the OMPS problem.

About the speaker

Pathy Musema Muke holds a BSc (Honours) degree in Mining Engineering from the University of Lubumbashi, Democratic Republic of Congo (DRC.) and MSc (Mining Engineering) from the University of the Witwatersrand. He is a Junior Lecturer at Institute Supérieur des Techniques Appliquées (ISTA-Kolwezi), DRC, and is a member of the National Order of Civil Engineers of Congo (ONICIV). His research interests are in mine production scheduling and optimisation, and applied operations research. Pathy is currently pursuing his PhD at Wits University.