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Multilevel regression analysis examines factors affecting reliability in Nigerian manufacturing plants, suggesting future applications in other sectors.
Manufacturing systems in Nigerian plants are critical for economic development, yet their reliability is often underexplored. A multilevel logistic regression model was applied to data from 100 plants across Nigeria. The model accounts for both plant-level and industry-level factors affecting system reliability. The estimated odds ratio for one unit increase in the number of maintenance personnel per machine is 1.2 (95% CI: 1.0, 1.4), indicating a moderate positive effect on reliability. Multilevel regression analysis provides robust insights into factors influencing manufacturing system reliability in Nigerian plants. Future studies should consider the application of this methodological approach to other industrial sectors and contexts. multilevel regression, manufacturing systems, reliability, Nigeria The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Sunday Oluwasanobi (2011) studied this question.
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