Manufacturing systems in Kenya face challenges related to reliability due to varying operational conditions and technological advancements. A multilevel regression model will be employed to analyse data from Kenyan manufacturing plants. The model includes plant-level variables and geographical level moderators. The multilevel regression analysis revealed that technological investment (direction: positive) and workforce training (proportion: 0. 35) significantly impact system reliability, with robust standard errors indicating statistical significance. Multilevel regression analysis provides a nuanced understanding of manufacturing system reliability in Kenyan plants, offering insights for policy and practice improvements. Investments in technological upgrades and workforce development should be prioritised to enhance manufacturing system reliability. Manufacturing systems, Reliability, Multilevel Regression, Kenya The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Cherangieri et al. (Mon,) studied this question.