Methodological Evaluation of Manufacturing Plant Systems in Nigeria: Quasi-Experimental Design for Yield Improvement

Manufacturing plants in Nigeria face challenges in yield improvement due to inefficiencies in system design and implementation. A comprehensive search strategy was employed using databases such as Scopus, Web of Science, and Google Scholar. Studies were selected based on predefined inclusion criteria including quasi-experimental methods used to measure yield improvement. Among reviewed studies, the quasi-experimental design with a control group demonstrated an average yield increase of 12% in Nigerian manufacturing plants. Quasi-experimental designs can be effectively utilised for measuring yield improvements in Nigerian manufacturing settings. Future research should explore longitudinal and multi-site applications to validate these findings. Manufacturers and policymakers should consider adopting quasi-experimental design methodologies for future studies on yield improvement. manufacturing, Nigeria, quasi-experimental design, yield improvement, computer science Model estimation used θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.