Water treatment facilities in Tanzania face challenges related to system reliability due to varying operational conditions and insufficient data on system performance. This study employs a quasi-experimental design with multiple-site observations to measure system reliability. Data collection includes operational metrics and environmental conditions. Statistical analysis uses linear regression models to assess the impact of variables such as temperature and flow rate on system performance. The preliminary findings indicate that temperature fluctuations significantly affect water treatment system efficiency, reducing output by up to 15% in certain settings. This study provides a robust methodological framework for assessing system reliability in water treatment facilities, with specific insights into the impact of environmental factors. Further research should investigate the long-term effects and potential mitigation strategies for identified operational challenges. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mwanzika et al. (Fri,) studied this question.