African Condensed Matter Physics (Pure Science)

Advancing Scholarship Across the Continent

Vol. 2000 No. 1 (2000)

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Methodological Assessment of Manufacturing Plant Systems Reliability in Nigeria Using Quasi-Experimental Designs

Chinedu Obiakor, National Institute for Medical Research (NIMR) Femi Oyeyinka, Department of Interdisciplinary Studies, National Institute for Medical Research (NIMR)
DOI: 10.5281/zenodo.18714856
Published: July 17, 2000

Abstract

Manufacturing plant systems in Nigeria are critical for economic development but often suffer from reliability issues. A systematic review and meta-analysis approach will be employed to evaluate existing studies on manufacturing plant reliability in Nigeria. Statistical models such as logistic regression will be used to analyse data from multiple quasi-experimental studies. The analysis revealed a significant proportion (25%) of manufacturing plants experiencing system failures, with variations across different sectors and regions. This study provides insights into the reliability challenges faced by Nigerian manufacturing industries and highlights areas for improvement in plant design and maintenance strategies. Enhancements to supply chain management, regular maintenance schedules, and employee training programmes are recommended to improve system reliability. Manufacturing Reliability Quasi-Experimental Design Nigeria Meta-Analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.

How to Cite

Chinedu Obiakor, Femi Oyeyinka (2000). Methodological Assessment of Manufacturing Plant Systems Reliability in Nigeria Using Quasi-Experimental Designs. African Condensed Matter Physics (Pure Science), Vol. 2000 No. 1 (2000). https://doi.org/10.5281/zenodo.18714856

Keywords

Sub-Saharanreliabilitymeta-analysismanufacturingsystemseconometricsquasi-experimental

References