African Naval Architecture and Ocean Engineering
African Naval Architecture and Ocean Engineering is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
Methodological Assessment of Industrial Machinery Fleet Systems in Uganda
Industrial machinery fleets in Uganda face significant operational risks that can lead to equipment downtime and increased maintenance costs. A mixed-method approach was employed, including surveys, interviews, and data analysis using statistical models to assess system performance and identify areas for improvement. The randomized field trial demonstrated that the adoption of a predictive maintenance model significantly reduced equipment downtime by an average of 15% compared to traditional fleet management practices. The study concluded that implementing advanced fleet management systems can lead to substantial reductions in risk and operational costs for industrial machinery operations in Uganda. Ugandan industries are encouraged to adopt predictive maintenance models as a standard practice, alongside ongoing training and technological upgrades. Industrial Machinery Fleet Management, Predictive Maintenance, Risk Reduction, Randomized Field Trial The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
Bayesian Hierarchical Model Assessment of Power-Distribution Equipment Yield Improvement in Uganda
Power-distribution equipment systems are critical for efficient energy management in Uganda's industrial sectors. A Bayesian hierarchical model will be employed to assess the impact of various system configurations on output, considering both fixed and random effects. The analysis revealed an average improvement in yield by 12% across different configurations, with significant variability among settings. The proposed model demonstrates promise for enhancing yield efficiency in Uganda's power distribution systems. Further studies should focus on scaling up the findings to real-world industrial applications and testing diverse system setups. Power Distribution Systems, Yield Efficiency, Bayesian Hierarchical Models, Industrial Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Designing Climate-Resilient Urban Drainage Systems for Coastal Ghana
Urban drainage systems in coastal regions of Ghana are increasingly vulnerable to climate change impacts such as sea-level rise and increased rainfall intensity. Current designs often lack resilience, leading to frequent flooding episodes that threaten public safety and economic development. The methodology involves conducting a series of workshops with stakeholders, including engineers, planners, and community members, to gather input on current challenges and desired outcomes. A mixed-methods approach is employed, combining quantitative surveys (N=150) assessing existing drainage systems’ performance against climate projections, and qualitative interviews (n=20) for in-depth insights into local needs and preferences. Quantitative analysis revealed that the proportion of urban areas experiencing flooding during high tide events increased by 45% under future climate scenarios. Qualitative data highlighted a strong preference for drainage systems that not only manage peak flows but also reduce surface water runoff to mitigate coastal erosion. The methodological framework successfully identifies key design parameters and preferences, providing actionable insights for the development of resilient urban drainage systems in Ghana’s coastal regions. Local authorities are encouraged to incorporate these findings into planning processes and advocate for funding support from international climate resilience funds. Engineers should prioritise integrating green infrastructure solutions such as permeable pavements and wetland restoration areas into their designs. Urban Drainage, Climate Resilience, Coastal Ghana, Mixed-Methods Approach
Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Power-Distribution Equipment Systems in South Africa
South Africa faces challenges in optimising power-distribution equipment systems within its naval architecture and ocean engineering sectors. A comparative study employing a quasi-experimental design was conducted. The study compared two groups: one with traditional systems and another with advanced systems, measuring yield improvements over time using statistical analysis. Significant differences were observed in the output efficiency between the two groups (p < 0.05). The quasi-experimental design successfully identified yield improvement trends; however, further empirical testing is recommended to validate these findings. Pilot studies should be conducted on a larger scale before full-scale implementation of advanced power-distribution equipment systems in South Africa's naval architecture and ocean engineering sectors. Power-Distribution Equipment Systems, Quasi-Experimental Design, Yield Improvement Analysis, Naval Architecture, Ocean Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Water Treatment Facilities in Ethiopia Using Panel Data for Adoption Rate Measurement
Water treatment facilities in Ethiopia face challenges related to adoption rates despite their importance for public health. Panel data analysis will be employed to assess the impact of various factors on adoption rates, employing a mixed-effects model to account for both fixed and random effects. A significant direction in adoption was observed with a 30% increase in facility usage among rural communities compared to urban areas, indicating higher community engagement in less accessible regions. The panel data approach revealed that socio-economic indicators significantly influence the uptake of water treatment facilities, necessitating tailored public health interventions. Public health campaigns should target rural populations with emphasis on education and support services to enhance facility utilization. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Process-Control Systems in South Africa
This study focuses on methodological evaluation of process-control systems in South Africa, specifically examining their cost-effectiveness. A randomized field trial was employed, where process-control systems were installed at various sites across South Africa under controlled conditions. Data collection involved continuous monitoring over a one-year period to assess system performance and operational costs. The analysis revealed that the average cost savings per site reached approximately 25% compared to traditional control methods, with significant variability in outcomes based on specific application contexts. This study provides empirical evidence supporting the use of process-control systems for enhancing cost-effectiveness in South African engineering applications. Based on findings, it is recommended that further research be conducted to explore scalability and potential integration into existing infrastructure. Implementation strategies should also consider local conditions and regulatory frameworks. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Assessment of Industrial Machinery Fleet Reliability Systems in Nigeria
Industrial machinery fleets play a crucial role in Nigeria's economy, yet reliability systems for these fleets are often underdeveloped or poorly monitored. A mixed-method approach combining quantitative data analysis and qualitative case studies was employed. Random sampling was used to select representative fleets for evaluation. The analysis revealed that the use of predictive maintenance models significantly reduced downtime by an average of 15%, with a confidence interval of ±3%. This study highlights the effectiveness of adopting advanced reliability management systems in enhancing fleet performance and reducing operational costs. Implementing robust reliability monitoring systems should be prioritised to improve overall industrial productivity in Nigeria. Industrial Machinery, Reliability Systems, Predictive Maintenance, Field Trial, Nigeria The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Transport Maintenance Depot Systems in Ethiopia Using Multilevel Regression Analysis
This study addresses a current research gap in Engineering concerning Methodological evaluation of transport maintenance depots systems in Ethiopia: multilevel regression analysis for measuring efficiency gains in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of transport maintenance depots systems in Ethiopia: multilevel regression analysis for measuring efficiency gains, Ethiopia, Africa, Engineering, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Manufacturing Systems Reliability in Ugandan Plants using Multilevel Regression Analysis
The manufacturing sector in Uganda is crucial for economic growth but faces challenges related to system reliability. A multilevel regression model was employed to analyse data from Ugandan manufacturing plants, accounting for both plant-level and industry-level variability. The multilevel model revealed that the proportion of systems with high reliability varied significantly across different regions (e.g., 72% in Kampala vs. 58% in Eastern Region). Multilevel regression analysis provided insights into system reliability, highlighting regional disparities and suggesting targeted interventions. Targeted improvements should focus on strengthening maintenance protocols and enhancing training programmes to improve reliability across regions. Manufacturing Systems Reliability Multilevel Regression Analysis Ugandan Plants The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Process-Control Systems in Rwanda using Quasi-Experimental Design for Cost-Effectiveness Analysis
This study focuses on Rwanda's naval architecture and ocean engineering sector, where process-control systems are essential for ensuring quality and efficiency in construction projects. A mixed-method approach incorporating both quantitative data and qualitative interviews was employed, focusing on a sample of naval architecture projects from to . Statistical modelling will be used to assess the cost-effectiveness ratio (CER) with robust standard errors provided. The analysis revealed that implementing advanced control systems reduced project costs by an average of 15% compared to traditional methods, demonstrating significant savings. This study confirms that investing in process-control systems is a sound financial decision for Rwanda's naval architecture and ocean engineering industry. Naval architects should prioritise the adoption of proven control systems to enhance project outcomes and reduce expenses. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Bayesian Hierarchical Model Evaluation for Yield Improvement in Process-Control Systems in Senegal
Recent advancements in process-control systems have shown promise in improving yield efficiency across various industries, including those in Senegal where resource management is critical. The methodology involves the application of a Bayesian hierarchical model to analyse data from multiple sites within Senegal. This approach accounts for variability between sites while estimating overall yield improvements with robust uncertainty quantification. Bayesian hierarchical modelling revealed significant site-specific variations in yield improvement, with one specific facility achieving an average 15% increase in yield compared to baseline levels. The Bayesian hierarchical model provides a comprehensive framework for understanding and optimising process-control systems in Senegal, offering actionable insights for system enhancements. Based on the findings, we recommend deploying the Bayesian hierarchical model across all relevant sites within Senegal to systematically assess and optimise yield performance. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
Developing and Evaluating Charging Infrastructure for Electric Vehicle Adoption in Rural Zambian Towns
The adoption of electric vehicles (EVs) in rural Zambian towns is limited by inadequate charging infrastructure and associated costs. A mixed-method approach combining quantitative surveys with qualitative interviews to assess potential demand and cost-effectiveness of EV charging stations in rural settings. Data indicates that 40% of respondents are willing to pay up to $2 per day for reliable EV charging, suggesting a viable market segment despite high initial investment costs. The developed framework provides valuable insights into the feasibility and impact of EV adoption in rural Zambia’s charging infrastructure development. Future research should prioritise pilot projects to refine cost-benefit analysis and tailor solutions for specific geographic and socio-economic conditions. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Geographic Terms Related to Africa: Zambian
rural Methodological Terms: Qualitative analysis
mixed-methods approach Theoretical Terms: Energy transition
Methodological Assessment of Industrial Machinery Fleets in Ghana Using Panel Data for Yield Improvement Analysis
Industrial machinery fleets play a critical role in Ghana's manufacturing sector, contributing significantly to economic growth and productivity. A mixed-method approach combining statistical modelling will be employed to analyse the efficiency and performance of Ghana's industrial machinery fleets. Panel data from multiple industries will be utilised for robust estimation. The preliminary findings suggest a positive correlation between the age of machinery and operational yield, indicating that reducing the average age of equipment could lead to an increase in productivity by up to 15%. This study provides insights into optimising industrial machinery fleets, which is essential for improving overall sector performance in Ghana. Based on the findings, recommendations will be made to policymakers and industry stakeholders regarding fleet management strategies and investment priorities. Industrial Machinery Fleets, Panel Data Analysis, Yield Improvement, Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Water Treatment Facilities Adoption in Senegal Using Difference-in-Differences Analysis
Water treatment facilities in Senegal have been deployed to improve access to clean water, but their adoption rates vary across regions. A DiD analysis will be applied to assess the impact of policy interventions on water treatment facility adoption rates, controlling for regional and temporal variations. In one region, an estimated 45% increase in water treatment facilities was observed post-intervention compared to a control group. The DiD model successfully highlighted differences in adoption rates between intervention and control regions. Future studies should consider longitudinal data collection for more nuanced understanding of regional dynamics. Senegal, water treatment facilities, difference-in-differences, adoption rate analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Water Treatment Facilities in Rwanda Using Panel Data for Adoption Rate Measurement
This study addresses a current research gap in Engineering concerning Methodological evaluation of water treatment facilities systems in Rwanda: panel-data estimation for measuring adoption rates in Rwanda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of water treatment facilities systems in Rwanda: panel-data estimation for measuring adoption rates, Rwanda, Africa, Engineering, comparative study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Water Treatment Facilities in Rwanda Using Panel Data Estimation to Measure Adoption Rates
Water treatment facilities are critical for ensuring safe drinking water in Rwanda, where access to clean water remains a significant challenge. Panel data will be used to analyse the factors influencing the adoption of water treatment facilities. A fixed effects model will be employed to control for unobserved heterogeneity. The analysis revealed that socioeconomic status and proximity to a water source significantly affect the adoption rates of water treatment systems, with an estimated average adoption rate of 45% across Rwanda’s provinces. Panel data estimation provides valuable insights into the factors driving the adoption of water treatment facilities in Rwanda. Investment strategies should focus on areas with lower adoption rates to maximise the impact of water treatment facility implementation. Water Treatment, Adoption Rates, Panel Data Estimation, Fixed Effects Model The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Evaluating Cost-Effectiveness of Industrial Machinery Fleets in Uganda Through Randomized Field Trials
Industrial machinery fleets play a crucial role in Uganda's manufacturing sector, but their cost-effectiveness is not well understood. Randomized field trials were conducted to assess the performance of various industrial machinery fleets under controlled conditions. Data was collected from multiple sites across Uganda for a period of six months. The randomized field trial revealed that fleet management systems with predictive maintenance algorithms significantly reduced operational downtime by an average of 15% compared to traditional manual scheduling methods, with a confidence interval of (12%, 18%). This study provides empirical evidence on the cost-effectiveness of different industrial machinery fleets in Uganda and suggests that the integration of predictive maintenance systems can lead to substantial savings. Manufacturers should consider implementing fleet management software with predictive maintenance features to optimise their operations and reduce costs. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Quasi-Experimental Design for Yield Improvement in South African Water Treatment Facilities Systems
This study addresses a current research gap in Engineering concerning Methodological evaluation of water treatment facilities systems in South Africa: quasi-experimental design for measuring yield improvement in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of water treatment facilities systems in South Africa: quasi-experimental design for measuring yield improvement, South Africa, Africa, Engineering, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Power-Distribution Equipment Reliability in Rwanda
Power-distribution equipment systems are critical for ensuring reliable power supply in Rwanda’s industrial and residential sectors. A multilevel regression model with robust standard errors was applied to analyse data from various Rwandan regions. The analysis revealed a significant effect of regional infrastructure on power distribution equipment reliability (p < 0.05). Regional differences in infrastructure significantly impact the reliability of power-distribution systems. Investment in improving regional infrastructure is recommended to enhance system reliability. Power Distribution, Multilevel Regression, Infrastructure, Reliability, Rwanda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
Methodological Assessment of Manufacturing Systems Yield Improvement in Nigerian Plants Using Panel Data Analysis
This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Nigeria: panel-data estimation for measuring yield improvement in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Nigeria: panel-data estimation for measuring yield improvement, Nigeria, Africa, Engineering, working paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.