African Safety Engineering

Advancing Scholarship Across the Continent

Vol. 2005 No. 1 (2005)

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Methodological Evaluation of Manufacturing Systems Yield Improvement in Senegal Using Quasi-Experimental Design

Toure Ndiaye Ndoye, Institut Sénégalais de Recherches Agricoles (ISRA) Madiagne Diop, Department of Sustainable Systems, African Institute for Mathematical Sciences (AIMS) Senegal
DOI: 10.5281/zenodo.18814921
Published: November 10, 2005

Abstract

This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Senegal: quasi-experimental design for measuring yield improvement in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Senegal: quasi-experimental design for measuring yield improvement, Senegal, Africa, Engineering, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Toure Ndiaye Ndoye, Madiagne Diop (2005). Methodological Evaluation of Manufacturing Systems Yield Improvement in Senegal Using Quasi-Experimental Design. African Safety Engineering, Vol. 2005 No. 1 (2005). https://doi.org/10.5281/zenodo.18814921

Keywords

Sub-SaharanManufacturingDesignEvaluationQuality ControlQuasi-ExperimentalAnalytics

References