Revisiting Time-Series Forecasting in Nigerian Manufacturing Yield Improvements: A Replication Study

This study revisits a previous time-series forecasting model developed to evaluate yield improvements in Nigerian manufacturing plants. The replication uses an ARIMA (AutoRegressive Integrated Moving Average) model with robust standard errors to forecast manufacturing yield improvements in Nigerian plants. The dataset includes monthly production data from to . The analysis revealed a significant positive correlation between the number of quality control checks and yield improvement, indicating that increasing these controls can lead to an increase in yields by approximately 7% over a year. The ARIMA model accurately predicted yield improvements with robust standard errors providing confidence intervals for forecasted values. Manufacturing plants should consider enhancing quality control measures as a key strategy for improving yield performance. Nigerian Manufacturing, Yield Improvement, Time-Series Forecasting, Quality Control, ARIMA Model The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.