Methodological Evaluation of Transport Maintenance Depot Systems in Uganda: A Quasi-Experimental Design for System Reliability Assessment
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2003
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| _version_ | 1866901311571623936 |
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| author | Nsubuga, Alice Namugenyi Mutumba, Micheal Kizza |
| author_facet | Nsubuga, Alice Namugenyi Mutumba, Micheal Kizza |
| contents | <p>Transport maintenance depots in Uganda are essential for ensuring reliable vehicle operations across various sectors such as transportation and logistics. However, their efficiency varies significantly due to operational challenges and resource constraints. A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. Data were collected through questionnaires distributed among depot staff and supervisors, supplemented by observational fieldwork at depots. The findings indicate that the average maintenance completion time per vehicle is reduced by 20% when depots implement standardised work processes compared to baseline conditions. This suggests a significant improvement in system reliability. This quasi-experimental design provides robust insights into the effectiveness of standardization practices in Ugandan transport maintenance systems, highlighting their potential to enhance depot efficiency and vehicle uptime. Based on these findings, it is recommended that Ugandan transport operators adopt standardised work processes to improve maintenance completion times and overall system reliability. Maintenance Depot Systems, Quasi-Experimental Design, System Reliability, Transport Operations The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18771144 |
| institution | Zenodo |
| language | eng |
| publishDate | 2003 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Transport Maintenance Depot Systems in Uganda: A Quasi-Experimental Design for System Reliability Assessment Nsubuga, Alice Namugenyi Mutumba, Micheal Kizza Sub-Saharan depot optimization reliability analysis maintenance engineering supply chain management predictive maintenance stochastic models <p>Transport maintenance depots in Uganda are essential for ensuring reliable vehicle operations across various sectors such as transportation and logistics. However, their efficiency varies significantly due to operational challenges and resource constraints. A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. Data were collected through questionnaires distributed among depot staff and supervisors, supplemented by observational fieldwork at depots. The findings indicate that the average maintenance completion time per vehicle is reduced by 20% when depots implement standardised work processes compared to baseline conditions. This suggests a significant improvement in system reliability. This quasi-experimental design provides robust insights into the effectiveness of standardization practices in Ugandan transport maintenance systems, highlighting their potential to enhance depot efficiency and vehicle uptime. Based on these findings, it is recommended that Ugandan transport operators adopt standardised work processes to improve maintenance completion times and overall system reliability. Maintenance Depot Systems, Quasi-Experimental Design, System Reliability, Transport Operations The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| title | Methodological Evaluation of Transport Maintenance Depot Systems in Uganda: A Quasi-Experimental Design for System Reliability Assessment |
| topic | Sub-Saharan depot optimization reliability analysis maintenance engineering supply chain management predictive maintenance stochastic models |
| url | https://doi.org/10.5281/zenodo.18771144 |