African Metallurgy Journal (Engineering/Materials focus) | 13 March 2010
Time-Series Forecasting Model Evaluation of Transport Maintenance Depots in South Africa: An Efficiency Analysis
S, i, p, h, o, M, o, f, o, k, g, o, p, a, n, e, ,, W, a, q, w, e, l, e, M, a, k, w, e, t, s, w, e, ,, N, k, o, s, i, T, s, h, a, b, a, l, a, l, a
Abstract
Transport maintenance depots in South Africa play a critical role in ensuring vehicle reliability and safety across various sectors including mining, logistics, and public transportation. A time-series forecasting model was employed to analyse data from multiple depots over a five-year period. Robust standard errors were used for inference, providing confidence intervals around the forecasted values. The analysis revealed that maintenance efficiency improved by an average of 12% in one depot due to optimised scheduling and inventory management practices. This study underscores the effectiveness of time-series forecasting models in enhancing operational efficiencies within South African transport maintenance depots, offering a practical tool for future improvements. Future research should explore cross-depot comparisons and implement these findings into depot operations to achieve broader efficiency gains across the sector. transport maintenance depots, time-series forecasting, efficiency analysis, South Africa 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.