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March 2, 20260 citationsOpen Access

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

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MWMuluken WoldeBBBerhanu BeyeneFAFekadu Assefa

Key Points

  • This research assesses factors influencing production risks in Ethiopian manufacturing plants through multilevel regression analysis.
  • Utilized multilevel regression analysis to evaluate production risks.
  • Collected data from small and medium-sized enterprises (SMEs) across various regions.
  • Employed statistical software for data analysis.
  • Management practices significantly influence risk reduction (p<0.05).
  • Structured management strategies can substantially reduce production risks.

Abstract

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 Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

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Cite This Study

Wolde et al. (2005) studied this question.

synapsesocial.com/papers/69a52de5f1e85e5c73bf11e6https://doi.org/10.5281/zenodo.18814191
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