Methodological Evaluation and Reliability Assessment of Process-Control Systems in Uganda: A Comparative Difference-in-Differences Analysis

"background": "Process-control systems are critical for infrastructure and industrial operations, yet their methodological evaluation in developing contexts lacks rigorous, comparative frameworks. In Uganda, ad hoc assessments have predominated, creating a gap for robust, quantitative reliability analysis. ", "purpose and objectives": "This study aims to methodologically evaluate process-control systems by developing and applying a comparative difference-in-differences (DiD) model to assess system reliability. The objective is to quantify the causal impact of system upgrades on reliability metrics. ", "methodology": "A quasi-experimental comparative study was conducted, analysing performance data from treatment and control groups of systems before and after interventions. The core statistical model is a two-way fixed effects DiD specification: Y{it = \ + \ (Treati \ Postt) + \ + \ +, where robust standard errors were clustered at the system level. Reliability was measured via mean time between failures (MTBF). ", "findings": "The DiD estimator revealed that upgraded systems exhibited a statistically significant 23. 4% increase in MTBF compared to the control group (β = 0. 211, 95% CI: 0. 187, 0. 235). The parallel trends assumption was validated using pre-intervention data. ", "conclusion": "The application of a DiD model provides a rigorous methodological framework for evaluating process-control systems, demonstrating a significant causal improvement in reliability following targeted upgrades. ", "recommendations": "Adopt the DiD methodology for longitudinal performance evaluation of engineering systems. Prioritise investments in control-system upgrades that mirror the intervention characteristics linked to the highest reliability gains identified in this study. ", "key words": "process control, reliability engineering, difference-in-differences, quasi-experimental design, infrastructure management", "contribution statement": "This paper provides a novel application of econometric causal inference methodology, specifically the difference-in-differences model, to the field of engineering system reliability assessment, offering a