In Nigeria, process-control systems are critical for ensuring reliability in engineering processes. However, their effectiveness varies significantly, necessitating a methodological evaluation to enhance system performance. A quasi-experimental design was employed, with control and treatment groups representing different regions in Nigeria. Data collection involved monitoring key performance indicators (KPIs) over a period of twelve months. Statistical analysis used linear regression to model the impact of process-control systems on KPIs, accounting for potential confounders. The findings indicate that the implementation of robust process-control systems significantly improved system reliability by an average of 25% in terms of target KPI achievement (e. g. , reducing downtime by 18%). This study provides empirical evidence for optimising process-control systems, which could lead to substantial improvements in engineering processes across Nigeria. The findings suggest that targeted investments and continuous monitoring are essential for maintaining high system reliability. Future research should explore scalability of these results to other regions. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Adebayo et al. (Sun,) studied this question.