Methodological Evaluation and Reliability Assessment of Process-Control Systems in Uganda: A Comparative Difference-in-Differences Analysis
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2021
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| _version_ | 1866901067191549952 |
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| author | Ochieng, Okello Nalwoga, Nakato |
| author_facet | Ochieng, Okello Nalwoga, Nakato |
| contents | <p>{ "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: $Y{it} = \\alpha + \\beta (Treati \\times Postt) + \\gammai + \\deltat + \\epsilon{it}$, 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</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18973991 |
| institution | Zenodo |
| language | eng |
| publishDate | 2021 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation and Reliability Assessment of Process-Control Systems in Uganda: A Comparative Difference-in-Differences Analysis Ochieng, Okello Nalwoga, Nakato Process-control systems Reliability assessment Difference-in-differences Sub-Saharan Africa Methodological evaluation Comparative study Industrial automation <p>{ "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: $Y{it} = \\alpha + \\beta (Treati \\times Postt) + \\gammai + \\deltat + \\epsilon{it}$, 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</p> |
| title | Methodological Evaluation and Reliability Assessment of Process-Control Systems in Uganda: A Comparative Difference-in-Differences Analysis |
| topic | Process-control systems Reliability assessment Difference-in-differences Sub-Saharan Africa Methodological evaluation Comparative study Industrial automation |
| url | https://doi.org/10.5281/zenodo.18973991 |