Logistic evaluation of an underground mine using simulation

This paper describes a logistic study about an underground gold mine, belonging to AngloGold Ashanti, where four different layout options could be applied to the tunnels, and also different transportation strategies. Each evaluated layout had its own configuration for shaft and truck fleets. The stu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Rem: Revista Escola de Minas 2014-12, Vol.67 (4), p.447-454
Hauptverfasser: Fioroni, Marcelo Moretti, Santos, Letícia Cristina Alves dos, Franzese, Luiz Augusto G., Seixas, Josiane Cordeiro, Penna, Bruno Salomão, Alkmim, Gerson Mendes de
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper describes a logistic study about an underground gold mine, belonging to AngloGold Ashanti, where four different layout options could be applied to the tunnels, and also different transportation strategies. Each evaluated layout had its own configuration for shaft and truck fleets. The study was made individually for each year of the mine operation life, determining the necessary transportation capacity to achieve the planned production for that year. Due to the very restrictive traffic options in the tunnels, a framework was developed to represent the tunnels and traffic rules in a discrete-event simulation model. The results pointed the scenario with the lowest necessary transportation capacity to achieve the planned production. Esse artigo descreve o estudo de logística de uma mina subterrânea, pertencente à AngloGold Ashanti, em que quatro alternativas de transporte foram estudadas. Cada alternativa teve uma configuração específica para frota, silos e poço. O estudo foi feito individualmente para cada ano de operação da mina e determinou a capacidade de transporte necessária para se atingir a produção planejada naquele ano. Devido à especificidade do transporte e regras de tráfego do modelo, optou-se por utilizar o software de simulação ARENA. Os resultados apontaram o cenário com o menor número de frota e a maior capacidade de transporte para realizar o plano de produção.
ISSN:0370-4467
1807-0353
0370-4467
DOI:10.1590/0370-44672014670181