African Aerospace Engineering | 05 June 2011
Bayesian Hierarchical Model for Assessing System Reliability in Tanzanian Transport Maintenance Depots Systems
K, a, s, a, n, g, a, C, h, i, t, u, w, a
Abstract
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 $Y<em>{it}=\beta</em>0+\beta<em>1X</em>{it}+u<em>i+\varepsilon</em>{it}$, with robustness checked using heteroskedasticity-consistent errors.