Industrial machinery fleets play a crucial role in Rwanda's manufacturing sector, contributing to productivity and economic growth. The study employs econometric techniques such as fixed effects models to analyse fleet utilization and maintenance costs. A significant proportion (52%) of operational machinery assets are underutilized, indicating potential inefficiencies in management practices. Cost-effectiveness ratios indicate that optimising fleet operations could reduce overall expenditure by approximately 10%. Implementing predictive maintenance strategies and improving asset utilization through data analytics can enhance cost savings. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Willis et al. (Thu,) studied this question.
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