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February 25, 20260 citationsOpen Access

Methodological Assessment of Manufacturing Systems Reliability in Kenyan Plants using Multilevel Regression Analysis

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WMWaweru MuriukiMKMwihaki KinyanjuiNCNjuguna Chepkumo

Key Points

  • To assess the reliability of manufacturing systems in Kenyan plants using multilevel regression analysis.
  • Applied multilevel regression analysis to evaluate reliability at plant and worker levels.
  • Analyzed nested data structures to account for variations in system performance.
  • Developed empirical specifications for statistical inference.
  • 45% of variation in system reliability linked to managerial practices.
  • Found a strong relationship between management strategies and system reliability.
  • Identified targeted training for managers as a key improvement strategy.

Abstract

Manufacturing systems reliability in Kenyan plants is a critical aspect of ensuring sustainable economic growth. Multilevel regression analysis was employed to evaluate system reliability at both plant-level and worker-level, accounting for nested structures in the data. A significant proportion (45%) of variations in system reliability could be explained by managerial practices, highlighting the importance of leadership in enhancing system performance. The multilevel regression analysis revealed a strong relationship between management strategies and manufacturing systems reliability, providing actionable insights for improvement. Implementing targeted training programmes for managers to improve their understanding of system reliability could lead to more reliable manufacturing environments. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

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Cite This Study

Muriuki et al. (2002) studied this question.

synapsesocial.com/papers/699e91c4f5123be5ed04f745https://doi.org/10.5281/zenodo.18749643
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