African Chemical Engineering Studies | 14 March 2000
Methodological Evaluation of Manufacturing Plants Systems in Nigeria Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
C, h, i, n, e, d, u, C, h, u, k, w, u, e, d, e, r, ,, O, b, i, n, n, a, A, n, y, i, k, a, ,, O, s, i, t, a, I, f, u, n, a, n, y, a, ,, U, c, h, e, n, n, a, N, n, a, m, d, i
Abstract
Manufacturing plants in Nigeria face challenges related to inefficiencies that impact both operational costs and environmental sustainability. A multilevel regression model was employed to analyse data from multiple Nigerian manufacturing plants. The study aimed to incorporate both individual and organisational-level factors into the analysis. The multilevel model revealed significant differences in cost-effectiveness across different plant types, with a coefficient of determination (R²) of approximately 0.75 indicating substantial explanatory power. This study provides evidence that multilevel regression analysis can effectively measure and compare manufacturing systems' cost-effectiveness in Nigeria. Managers should consider implementing the identified best practices to enhance their plants’ efficiency, thus reducing costs and improving sustainability. manufacturing plants, cost-effectiveness, multilevel regression, Nigerian context 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.