Transport maintenance depots in Uganda have witnessed varying levels of efficiency, leading to a need for systematic evaluation and improvement. A Bayesian hierarchical model was employed to analyse data from Ugandan depots, accounting for both site-specific variability and overall system performance. The analysis revealed significant differences in maintenance efficiency across depots (e. g. , a 15% improvement in depot A compared to B). Bayesian hierarchical modelling provided insights into the yield improvements within Ugandan transport maintenance systems, highlighting specific areas for intervention. Recommendations include targeted training programmes and standardised operational procedures across depots to achieve consistent performance levels. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Okello et al. (Sun,) studied this question.
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