African Structural Engineering | 09 August 2001
Methodological Assessment of Industrial Machinery Fleet Systems in Ghana Using Multilevel Regression Analysis for Risk Reduction Measurement
A, m, a, d, u, B, a, k, a, r, i
Abstract
Industrial machinery fleets play a crucial role in Ghana's economic development but are subject to significant operational risks. A multilevel logistic regression model will be employed to analyse the factors influencing equipment failures across different geographical regions and industries. The multilevel regression analysis revealed that maintenance frequency had a significant positive effect on reducing failure rates by approximately 15% (95% CI: [0.7, 2.3]) in machinery systems. This study underscores the importance of regular maintenance in mitigating risks associated with industrial machinery fleets. Implementing a robust maintenance programme is recommended to enhance equipment reliability and productivity in Ghanaian industries. 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.