African Construction Management and Engineering (Engineering focus) | 14 September 2006
Methodological Assessment of Industrial Machinery Fleet Systems in Ghana Using Quasi-Experimental Design
K, w, a, m, e, K, o, f, i, ,, A, m, a, d, u, A, m, a, r, a, ,, Y, a, w, A, b, d, u, l, a, i
Abstract
Industrial machinery fleets in Ghana have experienced varying degrees of operational efficiency, necessitating a methodological assessment to identify best practices and yield improvements. A quasi-experimental design will be employed to compare pre- and post-intervention yields of industrial machinery fleets. Regression analysis will be used to control for confounding variables and estimate yield improvements. The preliminary findings suggest that implementing a regular maintenance schedule led to an average yield increase of 15% in the tested machinery fleet, with significant reductions in downtime attributed to preventative measures. This quasi-experimental design provides robust evidence for enhancing industrial machinery efficiency through strategic maintenance and management practices. Adoption of regular preventive maintenance schedules is recommended as a key strategy for improving yield across Ghanaian industrial machinery fleets. 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.