Manufacturing yield improvement in Ghana's manufacturing plants is a critical issue for economic growth. A quasi-experimental design was employed to assess the impact of yield-improvement systems across different manufacturing sectors in Ghana. The study utilised regression analysis for data modelling and provided robust standard errors as uncertainty estimates. The implementation of yield-improvement systems led to a 12% increase in product output on average, with significant improvements observed in the electronics sector. The quasi-experimental design successfully identified effective yield improvement strategies, which are crucial for enhancing manufacturing productivity in Ghana. Further research should be conducted to validate these findings and explore scalability of implemented systems across other industries. Manufacturing yield improvement, Quasi-experimental design, Regression analysis, Productivity enhancement The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Asare et al. (2003) studied this question.