This study focuses on evaluating the reliability of transport maintenance depots in Ethiopia, a critical infrastructure for ensuring smooth transportation and logistics operations. A Bayesian hierarchical model will be employed to analyse data collected from Ethiopian transport maintenance depots. This approach allows for the estimation of system reliability at both depot level and national scale, accounting for variability across different depots and sectors. The analysis revealed significant variations in system reliability among depots, with some showing a 20% higher likelihood of failure compared to others under similar conditions. This study provides evidence-based insights into the maintenance depot systems' performance, highlighting variability and potential areas for improvement. Based on the findings, targeted interventions such as improved training programmes and enhanced maintenance protocols are recommended for depots with higher failure rates. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mulugeta Mekonnen (Wed,) studied this question.
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