Manufacturing systems in Tanzania have been subject to various interventions aimed at improving productivity and cost-effectiveness. The review utilised a comprehensive search strategy across academic databases, including systematic screening of titles and abstracts, full-text reviews, and analysis of study methodologies. A notable finding was the predominance of regression analysis in estimating cost-effectiveness, with an estimated coefficient of determination (R²) for some studies ranging between 0. 65 and 0. 72, indicating a moderate to strong explanatory power. The review highlighted the need for more robust quasi-experimental designs that account for potential confounding variables in cost-effectiveness evaluations. Researchers are advised to incorporate longitudinal studies and multivariate analyses to enhance the reliability of their findings. Manufacturing systems, Quasi-experimental design, Cost-effectiveness, Regression analysis, Tanzania Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Kazembe et al. (2014) studied this question.