Manufacturing systems in South Africa face challenges related to reliability, leading to inefficiencies and potential safety risks. A theoretical framework will be developed without empirical data or statistical testing. A robust quasi-experimental design approach is proposed for evaluating manufacturing systems' reliability in South Africa, with a focus on enhancing productivity and safety. Manufacturing companies should consider implementing real-time monitoring and predictive maintenance strategies to improve system reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.