This Data Descriptor focuses on a methodological evaluation of manufacturing systems in Rwanda, with an emphasis on reducing operational risks within these plants. A randomized controlled trial (RCT) design was employed, with a sample of 50 manufacturing plants randomly selected from the total 200 registered factories in Rwanda. Data collection involved surveys, operational audits, and expert interviews to gather comprehensive information on risk management practices and outcomes. The analysis revealed that 45% of identified risks were related to supply chain disruptions, with a median estimated cost per incident at 1, 200 USD. Other significant themes included labour disputes (28%) and regulatory compliance issues (32%). The study concluded that targeted interventions focused on improving supply chain resilience and enhancing workplace stability could significantly reduce operational risks. Manufacturing enterprises in Rwanda are recommended to prioritise risk assessments, invest in robust supply chain management systems, and implement employee engagement programmes for better compliance with regulations. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Ndayishimiye et al. (2009) studied this question.