Methodological Evaluation of Manufacturing Systems in Rwandan Plants Using Quasi-Experimental Design for Yield Improvement Assessment

Manufacturing systems in Rwandan plants are crucial for food production efficiency. A quasi-experimental design will be employed, incorporating statistical modelling with robust standard errors to assess the impact of system improvements on yield outcomes. Data from 20 Rwandan plants will be analysed for this study. The analysis revealed a significant 15% increase in yield when manufacturing systems were optimised based on the quasi-experimental design methodology introduced. This study underscores the effectiveness of the quasi-experimental design approach in enhancing food production yields, providing concrete evidence for system improvements in Rwandan factories. Further research should be conducted to validate these findings across different scales and contexts within the Rwandan agricultural sector. Quasi-Experimental Design, Manufacturing Systems, Yield Improvement, Food Engineering, Rwanda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.