This study focuses on the operational efficiency of industrial machinery fleets in Senegal, a sub-Saharan African country with significant economic growth and industrial development. A mixed-method approach combining econometric analysis with field observations was employed. Panel data from a sample of Senegalese industries were analysed using a fixed effects model to estimate the impact of maintenance frequency on equipment failure rates. The findings indicate that an increase in maintenance frequency by 10% reduces equipment failures by approximately 7%, suggesting robustness and reliability improvements through targeted interventions. This study validates the use of panel data estimation for risk reduction in industrial machinery systems, providing actionable insights for fleet managers aiming to enhance operational efficiency and asset longevity. Based on this analysis, it is recommended that Senegalese industries adopt a more proactive maintenance schedule with regular equipment inspections and timely repairs to minimise downtime and maximise productivity. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Ndiaye et al. (Tue,) studied this question.