Difference-in-differences analysis shows 5% yield improvement in treated factories, indicating effective control strategies in Kenyan industries.
Recent advancements in process-control systems have shown promise for improving yield in industrial settings across Africa. A difference-in-differences (DiD) approach was employed to analyse the yield improvement across two groups of factories: those that implemented process-control systems and those that did not. A control group with no change served as a comparison. The DiD analysis revealed an average yield increase of approximately 5% in favour of the treated group, although variability was noted among different industries and regions. Process-control systems can be effectively utilised to improve yield in Kenyan industrial settings; however, their impact varies by industry type and geographic region. Further research should explore specific factors influencing system efficacy and consider regional adaptation of control strategies. Industrial Engineering, Process-Control Systems, Yield Improvement, Difference-in-Differences The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Mwakisimokwi et al. (2013) studied this question.
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