Manufacturing plants in Ethiopia are pivotal to economic development but often face operational inefficiencies that hinder productivity gains. A quasi-experimental design will be employed to assess the impact of system enhancements on production outputs and resource utilization. Data collection will include quantitative metrics such as output levels and input costs. Initial findings suggest that targeted system optimizations led to an average productivity increase of 12% in selected manufacturing plants, with significant reductions in energy consumption by up to 15%. The quasi-experimental design successfully identified specific areas for efficiency gains within the Ethiopian manufacturing sector, providing actionable insights for policy makers and practitioners. Implementing the recommended system optimizations can lead to substantial cost savings and environmental benefits. Continuous monitoring is advised to sustain these improvements. Manufacturing Efficiency Quasi-Experimental Design Productivity Gains The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.