Bayesian Hierarchical Model for Assessing System Reliability in Tanzanian Transport Maintenance Depots Systems

Bayesian hierarchical models have been used in various fields to assess system reliability. However, their application to Tanzanian transport maintenance depots is limited. A Bayesian hierarchical model was employed to analyse data from Tanzanian transport maintenance depots. The model accounts for variability at different levels, including depot-specific factors and overall system performance. The analysis revealed that the reliability of depots varied significantly across different regions in Tanzania, with a notable proportion (25%) showing below-average performance. This study provides evidence-based recommendations to enhance the reliability of transport maintenance depots in Tanzania. The Bayesian hierarchical model offers a robust framework for future research and policy development. Based on the findings, it is recommended that targeted interventions be implemented in regions with below-average depot performance to improve overall system reliability. Bayesian hierarchical models, System Reliability, Transport Maintenance Depots, Tanzania The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.