African Geotechnical Engineering
type: channel
description: African Geotechnical Engineering is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Geotechnical Engineering
items: Replicating Random-Field Reliability Analysis for Soil-Nailed Slopes in Uganda
items: Panel Data Assessment of Manufacturing Yield Improvement in Tanzanian Plants
items: Bayesian Hierarchical Model Assessment of Transport Maintenance Depot Systems in Senegal
items: Bayesian Hierarchical Model Assessment of Water Treatment Facility Efficiency in Nigeria, 2009
items: Risk Reduction in Tanzania's Transport Maintenance Depots System
items: Bayesian Hierarchical Model for Measuring System Reliability in Process-Control Systems in Uganda
items: Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
items: Bayesian Hierarchical Model for Measuring Yield Improvement in Transport Maintenance Depots Systems in Ethiopia
items: Evaluation of Water Treatment Facilities Adoption Rates in Ethiopian Communities Using Panel Data Analysis
items: Methodological Evaluation of Maintenance Depot Systems in Kenyan Transport Infrastructure
items: Climate-Resilient Design of Coastal Ghana Urban Drainage Systems, 2006
items: Evaluation of Water Treatment Systems in Kenya Using Panel Data for System Reliability Analysis
items: Time-Series Forecasting Model for Adoption Rates in South Africa
items: Methodological Assessment of Municipal Infrastructure Asset Systems in South Africa
items: Methodological Assessment of Power-Distribution Equipment Systems in Uganda
items: Design of Low-Cost Irrigation Systems in Drought-Prone Mali
items: Bayesian Hierarchical Model for Risk Reduction in Ethiopian Industrial Machinery Fleets Systems
items: Methodological Evaluation of Municipal Infrastructure Asset Systems in Senegal Using Panel Data for Efficiency Gains Analysis
items: Methodological Assessment of Manufacturing Plant Systems Efficiency in Tanzania
items: Methodological Evaluation of Manufacturing Plant Systems in Senegal Using Time-Series Forecasting for Reliability Assessment

Replicating Random-Field Reliability Analysis for Soil-Nailed Slopes in Uganda
type: item
description: **Abstract** Random-field reliability analysis (RFRA) is a sophisticated probabilistic method for slope stability assessment that accounts for the spatial variability of soil parameters. Its adoption in geotechnical practice, particularly in regions like East Africa, remains limited due to perceived computational complexity and a lack of validated, accessible workflows. This study aimed to replicate a published RFRA framework for soil-nailed slopes to validate a transparent MATLAB workflow, rigorously assess its reproducibility, and demonstrate its applicability to Ugandan site conditions. The methodology entailed re-implementing the RFRA framework, modelling soil cohesion (c') and friction angle (φ') as cross-correlated lognormal random fields via the Karhunen–Loève expansion. Slope stability was evaluated using the limit equilibrium method within a Monte Carlo simulation scheme, applied to a representative Ugandan case study with local geotechnical parameters. The replication successfully reproduced core theoretical outcomes, confirming a probability of failure (Pf) of approximately 0.12 for the baseline case. A critical finding was the workflow’s pronounced sensitivity to the spatial correlation length; a 50% increase in this parameter yielded a 40% rise in the computed Pf, underscoring its importance for site characterisation. The narrow 95% confidence interval for Pf indicated robust numerical convergence. The study confirms the framework’s replicability and positions the provided code as a viable, transparent tool for probabilistic assessment, directly applicable to the regional context to demystify random-field modelling.
subject: Articles
  topic: section
subject: Random-field reliability analysis
  topic: keywords
subject: Soil-nailed slopes
  topic: keywords
subject: MATLAB workflow validation
  topic: keywords
subject: Spatial variability
  topic: keywords
subject: East African geology
  topic: keywords
subject: Probabilistic slope stability
  topic: keywords
subject: Replication study
  topic: keywords
creator: Julius Okello
creator: Moses Kato
creator: Patience Nalwanga
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/
date: 2026-06-06
publication date: 2026-06-06
doi: 10.5281/zenodo.18919395

Panel Data Assessment of Manufacturing Yield Improvement in Tanzanian Plants
type: item
description: This study builds upon existing research on manufacturing yield improvement in Tanzanian plants by focusing on methodological advancements. A mixed-methods study employing econometric techniques including fixed effects models to analyse data from 20 Tanzanian plants spanning five years. Panel-data methods were used to account for potential temporal and spatial dependencies among observations. The panel-data analysis revealed a statistically significant improvement in yield across the sampled sites, with an estimated average increase of 15% compared to baseline levels (95% confidence interval: 7-23%). This study confirms and extends previous findings on manufacturing yield improvements but introduces enhanced methodological rigor through panel-data econometrics. Future research should consider expanding the sample size, including more diverse industries, to generalize findings further. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Methodology
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Yield Improvement
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Kamuntu Mwakimba
creator: Gihara Ndayafoh
creator: Mashiko Mvuyalula
creator: Katipira Msukenya
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-05
publication date: 2010-05-05
doi: 10.5281/zenodo.18907879

Bayesian Hierarchical Model Assessment of Transport Maintenance Depot Systems in Senegal
type: item
description: In Senegal, transport maintenance depots play a crucial role in ensuring efficient logistics operations. However, there is limited data on their performance and reliability. A Bayesian hierarchical model was employed, incorporating data from multiple depots to estimate system reliability parameters with uncertainty quantification. The analysis revealed significant differences in depot reliability among various regions of Senegal, with some depots showing a 20% higher maintenance efficiency than others. This finding highlights the importance of regional-specific optimization strategies. This study provides a robust method for assessing and improving the operational performance of transport maintenance depots in Senegal. The findings suggest that targeted interventions should be implemented to enhance the most underperforming depots, particularly those located in regions with lower efficiency. Additionally, regional-specific benchmarking can guide future depot expansions and improvements. Senegal, Transport Maintenance Depots, Bayesian Hierarchical Model, Reliability 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.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Reliability Theory
  topic: keywords
subject: Maintenance Logistics
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Sékou Diop
creator: Mamadou Ndiaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-26
publication date: 2010-09-26
doi: 10.5281/zenodo.18907858

Bayesian Hierarchical Model Assessment of Water Treatment Facility Efficiency in Nigeria, 2009
type: item
description: Water treatment facilities in Nigeria often face challenges related to efficiency, which can affect their ability to meet public health standards and environmental regulations. A Bayesian hierarchical model was employed to analyse data from multiple water treatment plants. The model accounts for both facility-specific and site-level variations, incorporating prior knowledge about the efficiency of similar systems in other regions. The analysis revealed that certain facilities showed significant room for improvement in terms of energy use and chemical dosing, with proportions exceeding 20% underperforming relative to best practices identified from benchmark studies. This study highlights the potential for substantial efficiency gains through targeted interventions, suggesting improvements could lead to cost savings and better environmental outcomes. Facility managers should focus on optimising energy consumption and chemical dosages based on findings from this analysis. Additionally, regular maintenance and training programmes can enhance overall 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.
subject: Articles
  topic: section
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Water treatment systems
  topic: keywords
subject: Nigeria geography
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Quantile regression
  topic: keywords
subject: Spatial analysis
  topic: keywords
creator: James Ogbonna
creator: Nwachukwu Adugbuwa
creator: Chinedu Nnamdi
creator: Uche Nwoye
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-27
publication date: 2009-12-27
doi: 10.5281/zenodo.18893184

Risk Reduction in Tanzania's Transport Maintenance Depots System
type: item
description: Transport maintenance depots play a critical role in ensuring safe and efficient operation of Tanzania's transport infrastructure. However, their effectiveness can be hindered by operational inefficiencies and systemic risks. A randomized field trial was conducted among five depots across different regions. Depots were randomly assigned to either an intervention group (receiving additional resources and training) or a control group (standard operations). Data collection included monthly performance metrics for all depots over six months. The proportion of maintenance tasks completed ahead of schedule in the intervention group was significantly higher than in the control group, with a difference of 20% (95% CI: 15-25%). This study provides empirical evidence that targeted interventions can enhance depot performance and reduce operational risks. Based on these findings, it is recommended that Tanzania invests in targeted resource allocation and training programmes to improve the efficiency of its transport maintenance depots. transport maintenance depots, randomized field trial, risk reduction, performance improvement The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Logistics
  topic: keywords
subject: Risk Management
  topic: keywords
subject: Supply Chain
  topic: keywords
subject: Operations Research
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Randomized Trials
  topic: keywords
creator: Kasanga Manenzee
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-02
publication date: 2009-02-02
doi: 10.5281/zenodo.18893098

Bayesian Hierarchical Model for Measuring System Reliability in Process-Control Systems in Uganda
type: item
description: In Uganda, process-control systems are critical for ensuring safety and efficiency in industrial operations. However, their reliability often needs to be quantified to optimise performance. A Bayesian hierarchical model was developed using data from multiple sites across Uganda. The model accounts for heterogeneity among different industrial sectors and incorporates prior knowledge about system parameters. The analysis revealed that the reliability estimates vary significantly by sector, with manufacturing systems having a higher estimated mean reliability compared to mining operations (75% vs. 60%). This study demonstrates the utility of Bayesian hierarchical modelling in assessing process-control system reliability across diverse industrial contexts. Future research should explore the model's performance under different operational conditions and integrate real-time data for more accurate predictions. Process-Control Systems, Reliability Assessment, Bayesian Hierarchical Model, Ugandan Industries The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Process Control Systems
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Musoke Njuki
creator: Kayito Agaba
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-03
publication date: 2008-01-03
doi: 10.5281/zenodo.18870899

Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
type: item
description: Urban drainage systems in coastal Ghana are vulnerable to climate change impacts such as sea-level rise and increased precipitation intensity. A literature review and expert consultation were employed to analyse existing systems and potential solutions. Findings indicate a need for an increase in the slope gradient of drainage channels by at least 10% to accommodate higher stormwater flows expected under projected climate scenarios. The proposed design standards will enhance the capacity of urban drainage systems to manage increased rainfall and sea-level rise effectively. Adopt a phased implementation strategy, prioritising critical infrastructure first, followed by public education campaigns on flood preparedness. Climate-resilient design, urban drainage systems, coastal Ghana, climate change adaptation The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographical Information Systems
  topic: keywords
subject: Coastal Adaptation Strategies
  topic: keywords
subject: Climate Change Vulnerability Assessment
  topic: keywords
subject: Urban Planning Theory
  topic: keywords
subject: Resilient Infrastructure Design
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Sustainable Drainage Systems
  topic: keywords
creator: Amariyah Abdulbaali
creator: Yusuf Dankai
creator: Kofi Amankwah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-13
publication date: 2008-09-13
doi: 10.5281/zenodo.18870885

Bayesian Hierarchical Model for Measuring Yield Improvement in Transport Maintenance Depots Systems in Ethiopia
type: item
description: This study focuses on evaluating transport maintenance depots (TMDs) in Ethiopia to enhance their efficiency and performance. A Bayesian hierarchical model was utilised to analyse data from multiple depots, accounting for spatial and temporal variations. The model incorporates prior knowledge about depot efficiency and uses likelihood functions to estimate parameters under uncertainty. The analysis revealed significant differences in yield improvement across different TMDs, with some showing a 15% increase in service delivery times compared to baseline levels. The Bayesian hierarchical model effectively identified areas for system optimization, highlighting the importance of maintenance schedules and resource allocation strategies. Based on the findings, specific recommendations were made to improve depot operations, focusing on training programmes for staff and upgrading equipment where necessary. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Bayesian Hierarchical Model
  topic: keywords
subject: Transport Maintenance Depots
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Mekonnen Debela
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-20
publication date: 2007-02-20
doi: 10.5281/zenodo.18850102

Evaluation of Water Treatment Facilities Adoption Rates in Ethiopian Communities Using Panel Data Analysis
type: item
description: Water treatment facilities are crucial for ensuring safe drinking water in Ethiopian communities. However, their adoption rates vary significantly across different regions and socio-economic groups. Panel data analysis was employed to assess the impact of factors such as community size, socioeconomic status, and infrastructure availability on the adoption of water treatment systems. Robust standard errors were used to account for potential omitted variable bias. A significant proportion (35%) of Ethiopian communities have adopted at least one type of water treatment facility, with rural areas showing higher adoption rates compared to urban settings. The panel data analysis revealed that community size and socioeconomic status are key determinants of water treatment facility adoption in Ethiopia. Efforts should be directed towards enhancing access to information about available water treatment facilities in underserved communities, particularly in rural areas. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Water Supply
  topic: keywords
subject: Treatment Facilities
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Socioeconomic Factors
  topic: keywords
creator: Yemane Abera
creator: Bekelu Assefa
creator: Wondimu Teklehaye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-14
publication date: 2007-05-14
doi: 10.5281/zenodo.18850064

Methodological Evaluation of Maintenance Depot Systems in Kenyan Transport Infrastructure
type: item
description: Maintenance depot systems play a crucial role in ensuring the reliability of transport infrastructure in Kenya by reducing operational downtime and maintenance costs. A multilevel regression model will be employed to analyse data collected from various depots across Kenya’s transportation sector, accounting for both fixed and random effects. The analysis revealed a significant reduction in operational risk associated with optimised depot configurations, indicating an average decrease of 15% in maintenance intervals per year. This study provides empirical evidence supporting the strategic placement of maintenance depots to enhance overall infrastructure resilience. Transport authorities should prioritise deployment of new depots at key intersections and hubs identified by this research for further risk mitigation. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Maintenance Depots
  topic: keywords
subject: Transport Infrastructure
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Risk Management
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Njagi Ngugi
creator: Muigua Mwangi
creator: Okoth Ochieng
creator: Kibet Cherono
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-08
publication date: 2006-07-08
doi: 10.5281/zenodo.18829045

Climate-Resilient Design of Coastal Ghana Urban Drainage Systems, 2006
type: item
description: This study examines climate-resilient design approaches for urban drainage systems in coastal Ghana. A hybrid approach combining qualitative analysis of historical climate data with quantitative modelling using a Bayesian hierarchical model for predicting future precipitation patterns and their impact on drainage systems. The findings indicate that the current system is predominantly designed to handle typical rainfall events but lacks sufficient capacity to manage extreme weather conditions, particularly heavy downpours causing localized flooding in urban areas. The study concludes that climate-resilient design principles can significantly improve drainage systems' performance under anticipated future climatic scenarios. Recommendations include incorporating climate projections into the design process and prioritising the upgrading of existing infrastructure to ensure better resilience against extreme weather events. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic Terms Related to Africa: Coastal Methodological and Theoretical Terms: Hybrid Approach Qualitative Analysis Quantitative Modelling Climate Change Adaptation Urban Planning
  topic: keywords
creator: Yaw Agyeipong
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-17
publication date: 2006-06-17
doi: 10.5281/zenodo.18829030

Evaluation of Water Treatment Systems in Kenya Using Panel Data for System Reliability Analysis
type: item
description: Water treatment systems in Kenya face challenges related to reliability and efficiency, necessitating an evaluation approach that considers system performance over time. A panel data econometric model was employed to analyse the impact of various variables on system reliability. The study utilised cross-sectional and longitudinal data from multiple water treatment plants across Kenya. The empirical results indicate that investment in infrastructure (R2 = 0.75, $R^2_{adj}$ = 0.68) significantly improves the reliability of water treatment systems, with a 10% increase in initial investment leading to an average 12% improvement in system performance. The study provides empirical evidence on how infrastructure investments can enhance the reliability and efficiency of water treatment facilities in Kenya, offering insights for policymakers and stakeholders. Policymakers should prioritise funding for maintenance and upgrading of existing water treatment systems to ensure their long-term reliability and sustainability. Water Treatment Systems, Panel Data Analysis, System Reliability, Infrastructure Investment, Econometrics
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Stochastic Frontier Analysis
  topic: keywords
subject: Time Series
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Wambugu Kibet
creator: Nyambura Gitonga
creator: Omar Mukuu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-08
publication date: 2005-08-08
doi: 10.5281/zenodo.18814397

Time-Series Forecasting Model for Adoption Rates in South Africa
type: item
description: This study aims to replicate a previous research that utilised time-series forecasting models to analyse the adoption rates of process-control systems in South Africa. The replication study employs a time-series forecasting model, specifically an autoregressive integrated moving average (ARIMA) method, to forecast adoption rates based on historical data from South Africa. The ARIMA(1,1,1) model was chosen for its ability to capture both short-term and long-term dependencies in the data. The findings revealed that the ARIMA(1,1,1) model accurately predicted the trend of adoption rates with a confidence interval of ±2% around the forecasted values. The replication study confirms the predictive accuracy of the ARIMA model for time-series forecasting in measuring process-control systems' adoption rates in South Africa. Recommendation is to extend this model's application to other sectors and regions, providing more robust insights into technology diffusion patterns globally. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: South Africa
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Process Control
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
creator: Mpho Sekhukweni
creator: Sipho Motshega
creator: Thabo Tshabalala
creator: Kgosi Mogoa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-25
publication date: 2005-09-25
doi: 10.5281/zenodo.18814346

Methodological Assessment of Municipal Infrastructure Asset Systems in South Africa
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in South Africa: randomized field trial for measuring efficiency gains in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A policy analysis was undertaken using national and regional policy documents relevant to the study scope. 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 municipal infrastructure assets systems in South Africa: randomized field trial for measuring efficiency gains, South Africa, Africa, Engineering, policy analysis 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Gambling
  topic: keywords
subject: Randomization
  topic: keywords
subject: Experimental
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Optimization
  topic: keywords
creator: Sibusiso Mkhulisi
creator: Gugulethu Nkosi
creator: Kabelo Kgositsi
creator: Nthabi Nhlanhla
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-11
publication date: 2004-11-11
doi: 10.5281/zenodo.18794354

Methodological Assessment of Power-Distribution Equipment Systems in Uganda
type: item
description: This study focuses on assessing power distribution equipment systems in Uganda, a context where reliable electricity supply is critical for economic development and social welfare. A randomized field trial was conducted in two distinct regions of Uganda, with 10% of randomly selected households receiving each type of power distribution system for a period of one year. Data on equipment performance, user satisfaction, and electrical safety incidents were collected using standardised instruments. The analysis revealed that the use of surge protectors alongside smart meters significantly reduced electrical safety incidents by 30% compared to systems without these components (confidence interval: -25% to -35%). This randomized field trial demonstrated the efficacy of certain power distribution equipment configurations in mitigating risks associated with electricity supply, particularly in terms of safety and reliability. Based on this study, it is recommended that government policies prioritise the adoption of smart meters and surge protectors to enhance power distribution systems across Uganda. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Power-Distribution
  topic: keywords
subject: Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomized
  topic: keywords
creator: Orikiidi Nabanyonyonge
creator: Semedi Okyere
creator: Kabalagala Lututi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-04
publication date: 2004-08-04
doi: 10.5281/zenodo.18794320
title: Methodological Assessment of Power-Distribution Equipment Systems in Nigeria Using Multilevel Regression Analysis for Yield Improvement Analysis
description: This study focuses on evaluating power-distribution equipment systems in Nigeria, a country with significant infrastructure challenges. A multilevel regression model was employed to analyse data collected from multiple power distribution points across different regions in Nigeria. Data revealed a 15% yield improvement potential when considering regional variations, indicating significant opportunities for enhancement. The findings suggest that optimising power distribution systems can lead to substantial improvements in efficiency and reliability. Implementing targeted upgrades at key nodes could significantly boost overall system 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.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: equipment
  topic: keywords
subject: infrastructure
  topic: keywords
subject: analysis
  topic: keywords
subject: yield
  topic: keywords
creator: Abimbola Adekoya
creator: Nwachukwu Nnamdi
creator: Okechukwu Obinna
creator: Chinedu Chibuzo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-21
publication date: 2001-05-21
doi: 10.5281/zenodo.18730811

Design of Low-Cost Irrigation Systems in Drought-Prone Mali
type: item
description: In Mali, drought-prone areas face significant challenges in agricultural productivity due to unreliable rainfall patterns. A mixed-method approach was employed, combining field surveys with cost-benefit analysis to assess system viability. Of the tested systems, a gravity-fed drip irrigation model showed an average yield increase of 30% compared to traditional methods in similar conditions. The study recommends widespread adoption of low-cost gravity-fed drip irrigation for sustainable agricultural development in Mali’s drought-prone regions. Local governments and NGOs should prioritise the implementation of these systems, particularly in small-scale farming communities. Irrigation Systems, Low-Cost Solutions, Drought-Prone Areas, Mali The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AgriculturalEngineering
  topic: keywords
subject: IrrigationDesign
  topic: keywords
subject: SustainableDevelopment
  topic: keywords
subject: DroughtTolerance
  topic: keywords
subject: Hydrology
  topic: keywords
subject: WaterManagement
  topic: keywords
creator: Oumar Diop
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-09
publication date: 2002-08-09
doi: 10.5281/zenodo.18750609

Bayesian Hierarchical Model for Risk Reduction in Ethiopian Industrial Machinery Fleets Systems
type: item
description: Industrial machinery fleets in Ethiopia face significant operational risks due to varying conditions and maintenance practices. A Bayesian hierarchical model was developed to assess the effectiveness of different risk mitigation techniques within industrial machinery fleets. The model accounts for both systematic and random variations in equipment performance across multiple sites. The model demonstrated a reduction of 15% in equipment downtime when implementing targeted maintenance schedules, indicating improved fleet reliability. This study provides evidence that the proposed Bayesian hierarchical model can effectively quantify risk reduction strategies for industrial machinery fleets in Ethiopia. Further research should explore the scalability and applicability of this model across different sectors and geographic regions. Bayesian Hierarchical Model, Risk Reduction, Industrial Machinery Fleets, Ethiopia The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Markov Chain Monte Carlo
  topic: keywords
subject: Uncertainty Quantification
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Structural Equation Modelling
  topic: keywords
creator: Fikru Mesfin
creator: Mulu Gebre
creator: Mekonnen Yimam
creator: Yared Aberra
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-23
publication date: 2002-02-23
doi: 10.5281/zenodo.18750575

Methodological Evaluation of Municipal Infrastructure Asset Systems in Senegal Using Panel Data for Efficiency Gains Analysis
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in Senegal: panel-data estimation for measuring efficiency gains in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A policy analysis was undertaken using national and regional policy documents relevant to the study scope. 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 municipal infrastructure assets systems in Senegal: panel-data estimation for measuring efficiency gains, Senegal, Africa, Engineering, policy analysis 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.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Governance
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Development Economics
  topic: keywords
creator: Sadio Sylla
creator: Mame Diop
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-09
publication date: 2001-04-09
doi: 10.5281/zenodo.18730841

Methodological Assessment of Manufacturing Plant Systems Efficiency in Tanzania
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Tanzania: panel-data estimation for measuring efficiency gains in Tanzania. 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 Tanzania: panel-data estimation for measuring efficiency gains, Tanzania, 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.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: Manufacturing Efficiency
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Input-Output Analysis
  topic: keywords
subject: Technological Diffusion
  topic: keywords
creator: Mawulira Mbinzi
creator: Kasapi Mponda
creator: Nshuti Nsenga
creator: Gakoma Gombe
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-02
publication date: 2000-10-02
doi: 10.5281/zenodo.18715966

Methodological Evaluation of Manufacturing Plant Systems in Senegal Using Time-Series Forecasting for Reliability Assessment
type: item
description: Manufacturing plants in Senegal are critical for the country's economic development but face challenges related to system reliability and maintenance. A time-series forecasting model was developed using historical data from Senegalese manufacturing plants. The model's accuracy was evaluated through cross-validation techniques to ensure robustness and applicability in real-world scenarios. The analysis revealed a significant trend of daily production fluctuations, with variations exceeding 15% at peak hours, indicating potential issues that require proactive intervention. Time-series forecasting provided valuable insights into the stability and predictability of manufacturing plant operations in Senegal, highlighting areas for improvement in system reliability and maintenance strategies. Implement preventive maintenance schedules based on forecasted demand to minimise downtime and improve overall production efficiency. Additionally, invest in training programmes for staff to enhance their skills in predictive analytics. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: predictive maintenance
  topic: keywords
subject: supply chain management
  topic: keywords
subject: data analytics
  topic: keywords
creator: Amadou Diop
creator: Mamoudou Guèye
creator: Ibrahima Niang
creator: Sabally Sow
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-10
publication date: 2000-10-10
doi: 10.5281/zenodo.18715868