African Informatics Studies (LIS Focus) | 27 February 2013
Methodological Evaluation of Manufacturing Plant Systems in Nigeria: Quasi-Experimental Design for Yield Improvement
T, a, i, w, o, O, l, a, y, e, m, i, ,, F, u, n, m, i, l, a, y, o, A, d, e, k, i, l, e
Abstract
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 $\hat{\theta}=argmin<em>{\theta}\sum</em>i\ell(y<em>i,f</em>\theta(x<em>i))+\lambda\lVert\theta\rVert</em>2^2$, with performance evaluated using out-of-sample error.