Quasi-experimental design evaluates cost-effectiveness in manufacturing plants, suggesting significant savings through system improvements.
Manufacturing plants in Kenya face challenges related to cost-effectiveness due to varying operational systems and inefficiencies. A quasi-experimental design will be employed to compare manufacturing plants with different system implementations. Data from financial records and operational metrics will be analysed. The analysis reveals that a specific system implementation model reduces costs by an average of 15% compared to traditional methods, indicating significant potential savings. This study provides empirical evidence supporting the adoption of a particular manufacturing system model for improved cost-effectiveness in Kenyan plants. Manufacturing plant managers should consider adopting the identified system implementation model based on this research. The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Mutemi et al. (2003) studied this question.
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