OPTIMIZATION OF DUMP TRUCK PRODUCTIVITY IN OPEN-PIT GOLD MINING USING FLEET MANAGEMENT SYSTEM (FMS) TECHNOLOGY

Abstract

Hauling rocks or minerals in open-pit mines often experience inefficiencies due to a lack of real-time monitoring and assignment of dump trucks, resulting in reduced productivity and error prone manual data recording. This study evaluates the impact of the Fleet Management System (FMS) on dump truck productivity and discrepancies in gold grade data using four data sources: manual production data, block model data, raw FMS data, and geological sampling data from the processing plant. Key productivity metrics including payload, job efficiency, fixed time, and truck speed were analyzed along with comparisons of gold grade data between Ore Movement and Ore Crusher datasets. Results showed a 15% productivity increase for the CAT773 dump truck (from 147 BCM/km to 169 BCM/km) and a 15.6% rise for the CAT745 (from 96 BCM/km to 111 BCM/km). Additionally, the discrepancy in gold grade decreased by 5.3%, achieving a tonnage difference of 0%. Statistical analysis via a paired t-test confirmed significant improvements (p-value < 0.05). The FMS implementation significantly enhances productivity and gold grade data accuracy in mining material transport, driven by improvements in payload, job efficiency, fixed time, and truck speed.

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