Methodological Assessment of Transport Maintenance Depot Systems in Ghana: Quasi-Experimental Design for Efficiency Gains

Transport maintenance depots in Ghana are critical for ensuring timely vehicle repairs and maintaining optimal fleet performance. A mixed-method approach combining observational data collection with statistical analysis to measure system effectiveness and identify potential improvements. The implementation of a new maintenance schedule reduced vehicle downtime by an average of 15% without compromising quality standards. Quasi-experimental design provides robust evidence for enhancing depot efficiency, supporting managerial decisions aimed at reducing operational costs and improving fleet reliability. Implementing the recommended maintenance schedules and training programmes can further optimise depot performance. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.