Analysis of the impact of the WENCO system on the productivity and operational efficiency of the production equipment of the Guinea Bauxite Company (CBG)
Abstract
This article examines the impact of the WENCO system on the productivity and operational efficiency of the production equipment of the Guinea Bauxite Company (CBG). The WENCO system, used as an integrated fleet management solution, provides real-time monitoring of loading, transport, and unloading activities through various hardware and software components such as MDTs, GPS antennas, Fleet Control, Bench Manager, Stockpile Manager, and Wenco DB. Analysis of 2022 operational data reveals a production shortfall of nearly 198,000 tons, attributed to underutilization of equipment, low availability rates, inefficient management of operating cycles, and inadequate system configuration. Significant discrepancies between the nominal and actual capacities of excavators and dump trucks highlight inefficiencies related to unplanned downtime, under-filling of skips, mechanical breakdowns, and an imbalance between loading and hauling units. Actual operating time, often less than 70%, confirms these shortcomings. Pareto analysis identifies three main sources of productivity losses: mechanical breakdowns, waiting times caused by excavator/truck imbalance, and inappropriate reassignments resulting from insufficient system parameterization. Despite these limitations, the study confirms that WENCO represents a strategic tool for mining optimization, contributing to improved operational control, better inventory management, and cost reduction. However, the system's effectiveness depends on the quality of maintenance, technical configuration, staff training, and data reliability. The article concludes that WENCO's performance at CBG depends on the synergy between technology, organization, and human management, requiring a continuous approach of innovation and improvement.
Fields of Study & Subjects
Mining Techniques and Economics
Mining and Industrial Processes
Management and Optimization Techniques
Publication details
- Journal / source
- World Journal of Advanced Research and Reviews
- Publication date
- 31 January 2026
- Language
- EN