Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Multilevel Regression Analysis for Risk Reduction Assessment

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Hauptverfasser: Wolde, Muluken, Beyene, Berhanu, Assefa, Fekadu, Amede, Tesfaye
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2005
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author Wolde, Muluken
Beyene, Berhanu
Assefa, Fekadu
Amede, Tesfaye
author_facet Wolde, Muluken
Beyene, Berhanu
Assefa, Fekadu
Amede, Tesfaye
contents <p>Manufacturing plants in Ethiopia face significant operational challenges that increase production risks. Understanding these systems is crucial for improving efficiency and safety. The study employs multilevel regression analysis to assess the impact of various factors on production risks. Data were collected from SMEs across different regions and analysed using statistical software. Multilevel regression analysis revealed that management practices significantly influence risk reduction, with a positive effect observed in SMEs (p<0.05). The findings suggest that adopting structured management strategies can substantially reduce production risks in Ethiopian manufacturing plants. Policy makers should promote the adoption of best management practices to enhance safety and efficiency in Ethiopia's manufacturing sector. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18814192
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language eng
publishDate 2005
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Multilevel Regression Analysis for Risk Reduction Assessment
Wolde, Muluken
Beyene, Berhanu
Assefa, Fekadu
Amede, Tesfaye
Ethiopia
Multilevel Regression
Hierarchical Analysis
Supply Chain Management
Risk Assessment
Econometrics
Systems Engineering
<p>Manufacturing plants in Ethiopia face significant operational challenges that increase production risks. Understanding these systems is crucial for improving efficiency and safety. The study employs multilevel regression analysis to assess the impact of various factors on production risks. Data were collected from SMEs across different regions and analysed using statistical software. Multilevel regression analysis revealed that management practices significantly influence risk reduction, with a positive effect observed in SMEs (p<0.05). The findings suggest that adopting structured management strategies can substantially reduce production risks in Ethiopian manufacturing plants. Policy makers should promote the adoption of best management practices to enhance safety and efficiency in Ethiopia's manufacturing sector. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
title Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Multilevel Regression Analysis for Risk Reduction Assessment
topic Ethiopia
Multilevel Regression
Hierarchical Analysis
Supply Chain Management
Risk Assessment
Econometrics
Systems Engineering
url https://doi.org/10.5281/zenodo.18814192