The agricultural sector in Uganda is characterized by small-scale manufacturing plants that face significant operational risks. A systematic literature review was employed to evaluate the effectiveness and methodologies used in assessing the performance of these plants. The analysis included peer-reviewed articles from databases such as Web of Science and Scopus, published between and . Quasi-experimental studies indicated that a combination of robust financial forecasting models (e.g., ARIMA) and quality control checks significantly reduced operational risks by up to 40% in monitored manufacturing plants. The review highlighted the importance of adopting standardised methodologies for risk assessment, which can be effectively implemented through collaborative research initiatives among stakeholders. Stakeholders should consider implementing ARIMA models and enhanced quality control protocols as part of their standard operating procedures to mitigate operational risks. Agricultural manufacturing, quasi-experimental design, risk reduction, financial forecasting, quality control The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.