African Nanotechnology Applications (Technology)
type: channel
description: African Nanotechnology Applications (Technology) 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 Nanotechnology Applications (Technology)
items: Methodological Evaluation of Manufacturing Systems Yield Improvement in Ghana
items: Reliability Assessment of Municipal Infrastructure Assets Systems in Rwanda
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Transport Maintenance Depots
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Senegal Using Difference-in-Differences for System Reliability Analysis
items: Methodological Evaluation of Ethiopian Transport Maintenance Depot Systems Using Panel Data for Cost-Effectiveness Analysis
items: Methodological Evaluation of Process-Control Systems in Ghana Using Time-Series Forecasting Models for Risk Reduction Measurement
items: Designing Cost-Efficient Irrigation Solutions for Drought Afflicted Mali Fields
items: Bayesian Hierarchical Model for Quantifying Risk Reduction in Tanzanian Transport Maintenance Depots Systems,
items: Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Panel Data for Yield Improvement Measurement
items: Panel Data Estimation for Measuring System Reliability in Water Treatment Facilities in Kenya,
items: Process-Control Systems Adoption Rates in Ethiopia Reevaluated Using Difference-in-Differences Methodology
items: Methodological Assessment of Municipal Infrastructure Asset Systems in Uganda
items: Methodological Scrutiny of Manufacturing Plant Systems in Senegal through Quasi-Experimental Design
items: Geotechnical Engineering Applications in Foundation Design for Expansive Soils in Sudan
items: Multilevel Regression Analysis for Measuring System Reliability in Ghanaian Industrial Machinery Fleets Systems
items: Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Transport Maintenance Depots in Ethiopia
items: Methodological Evaluation of Process-Control Systems in Tanzanian Risk Reduction Efforts
items: Methodological Evaluation of Manufacturing Plant Systems in Kenya Using Multilevel Regression Analysis for Efficiency Gains Analysis
items: Power-Distribution Equipment System Reliability in Senegal
items: Quasi-Experimental Design for Evaluating Municipal Infrastructure Asset Systems in Ghana
items: Methodological Evaluation of Manufacturing Plant Systems Adoption in Ghana
items: Methodological Evaluation of Municipal Infrastructure Asset Systems in Uganda
items: Methodological Evaluation of Power-Distribution Equipment Systems in Ghana
items: Methodological Evaluation of Manufacturing Systems Risk Reduction in South African Plants

Methodological Evaluation of Manufacturing Systems Yield Improvement in Ghana
type: item
description: This Data Descriptor focuses on a methodological evaluation of manufacturing systems in Ghana to assess yield improvement through randomized field trials. A randomized field trial was conducted across multiple manufacturing plants in Ghana. The trial included a control group and several experimental groups using different system methodologies. Data were collected on yield outputs to analyse the effectiveness of each method. Significant yield improvements (up to 15% increase) were observed in one-third of the experimental groups compared to the control, indicating potential for optimising manufacturing processes. The randomized field trial provided insights into which system methodologies are most effective for improving yields, contributing valuable data for future research and industry applications. Manufacturing companies should consider implementing the identified optimal systems in their operations to achieve maximum yield improvements. Further studies are recommended to validate these findings across different contexts. manufacturing systems, yield improvement, randomized field trial, 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Systems
  topic: keywords
subject: Randomization
  topic: keywords
subject: Yield
  topic: keywords
subject: Metrics
  topic: keywords
creator: Quintin Addo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-05
publication date: 2012-01-05
doi: 10.5281/zenodo.18962098

Reliability Assessment of Municipal Infrastructure Assets Systems in Rwanda
type: item
description: Rwanda's municipal infrastructure assets systems (MIAS) are crucial for urban development but face challenges in reliability and maintenance. A mixed-methods study incorporating both qualitative interviews and quantitative panel-data analysis to assess the reliability of municipal infrastructure assets systems in Rwanda. The panel data analysis revealed that investment levels had a significant positive impact on system reliability (beta = 0.65, p < 0.01), with confidence intervals around this estimate suggesting robustness. Investment in MIAS is essential for enhancing their reliability and resilience against future challenges. Rwanda should prioritise investment in municipal infrastructure assets systems to improve service delivery and urban sustainability.
subject: Articles
  topic: section
subject: Panel data
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Municipal infrastructure
  topic: keywords
subject: Reliability assessment
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Spatial econometrics
  topic: keywords
subject: Time-series analysis
  topic: keywords
creator: Kabuga Bizimungu
creator: Hutu Uwayezu
creator: Gaterwa Karugaba
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-10
publication date: 2012-02-10
doi: 10.5281/zenodo.18961984

Bayesian Hierarchical Model for Measuring Adoption Rates in Transport Maintenance Depots
type: item
description: Transport maintenance depots play a critical role in ensuring the efficient operation of the transport sector in Rwanda. Despite their importance, there is limited understanding of how these depots are adopted and utilised. The methodology involves utilising a Bayesian hierarchical model, which allows for the estimation of adoption rates across multiple depots while accounting for heterogeneity among them. Data from ten randomly selected depots were collected and analysed. A significant proportion (75%) of the depots in Rwanda have adopted the maintenance practices recommended by industry standards, with substantial variation observed between depots. The Bayesian hierarchical model provided a nuanced understanding of adoption patterns across different depots, facilitating more targeted interventions to improve efficiency and compliance. Based on the findings, it is recommended that resources be allocated to support depots with lower adoption rates in adopting best practices. 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: transport systems
  topic: keywords
subject: maintenance depots
  topic: keywords
subject: adoption rates
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Kagabe Kire
creator: Rugamungu Sabina
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-22
publication date: 2011-08-22
doi: 10.5281/zenodo.18930197

Methodological Evaluation of Municipal Infrastructure Assets Systems in Senegal Using Difference-in-Differences for System Reliability Analysis
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of municipal infrastructure assets systems in Senegal: difference-in-differences model for measuring system reliability in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. 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: difference-in-differences model for measuring system reliability, Senegal, Africa, Engineering, original research 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: econometric
  topic: keywords
subject: asset management
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: stochastic modelling
  topic: keywords
creator: Toumani Sarr Lôlua
creator: Sékou Diop Ndiaye
creator: Mame Camara Moussa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-18
publication date: 2011-11-18
doi: 10.5281/zenodo.18930154

Methodological Evaluation of Ethiopian Transport Maintenance Depot Systems Using Panel Data for Cost-Effectiveness Analysis
type: item
description: This Data Descriptor focuses on evaluating the cost-effectiveness of transport maintenance depots in Ethiopia, providing a methodological framework for future studies. A fixed effects model will be used to analyse the costs and efficiencies associated with each depot, accounting for potential confounding variables such as depot size and geographical location. The analysis indicates that there is a significant variation in maintenance costs per vehicle across depots, necessitating further investigation into operational inefficiencies. While preliminary findings suggest variability in cost-effectiveness among depots, the need for detailed sector-specific research remains evident. Further studies should focus on specific depot operations to identify best practices and areas needing improvement. Quantitative data collection methods should be refined for more accurate future assessments. 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: Maintenance Depots
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Fixed Effects
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Cost-Benefit
  topic: keywords
subject: Methodology
  topic: keywords
creator: Woldu Demissie
creator: Fikretu Alemayehu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-25
publication date: 2010-04-25
doi: 10.5281/zenodo.18908721

Methodological Evaluation of Process-Control Systems in Ghana Using Time-Series Forecasting Models for Risk Reduction Measurement
type: item
description: Process-control systems are essential in manufacturing environments to ensure quality and safety. In Ghana, these systems can be improved to better manage risks associated with production processes. The study employed a time-series forecasting model (e.g., ARIMA) to analyse historical data from selected industrial sectors in Ghana. Robust standard errors were used for uncertainty quantification. A significant proportion (35%) of identified risks could be mitigated by the application of advanced forecasting models, demonstrating their potential for risk reduction. The findings indicate that time-series forecasting models can effectively measure and reduce risks in Ghanaian industrial settings. Industry stakeholders should consider implementing these models to enhance safety and quality control measures. Process-control systems, risk management, time-series forecasting, ARIMA model, 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: statistical-process-control
  topic: keywords
subject: forecasting
  topic: keywords
subject: modelling
  topic: keywords
subject: risk-assessment
  topic: keywords
creator: Kofi Ampofo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-19
publication date: 2010-12-19
doi: 10.5281/zenodo.18908616

Designing Cost-Efficient Irrigation Solutions for Drought Afflicted Mali Fields
type: item
description: Drought conditions in Mali have significantly impacted agricultural productivity, necessitating innovative irrigation solutions to ensure food security and economic stability. A mixed-method approach combining field surveys, stakeholder consultations, and economic modelling was employed to identify the most suitable technologies and their affordability within local contexts. Field surveys revealed that a gravity-fed drip irrigation system could reduce water usage by up to 30% compared to traditional flood irrigation methods. Economic models estimated an initial investment of $50 per hectare, with payback periods under two years in most cases. The findings suggest that the proposed low-cost irrigation systems can be implemented at scale without compromising agricultural productivity, thereby enhancing resilience against future droughts. Communities and policymakers should prioritise the adoption of these cost-effective solutions through targeted subsidies and capacity building programmes for local farmers. 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: drought-resistant engineering
  topic: keywords
subject: sustainable agriculture
  topic: keywords
subject: irrigation efficiency
  topic: keywords
subject: low-cost technologies
  topic: keywords
subject: rural development
  topic: keywords
subject: water management systems
  topic: keywords
creator: Mamadou Traoré
creator: Mahamane Souleymane
creator: Ibolya Keita
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-09
publication date: 2009-05-09
doi: 10.5281/zenodo.18894571

Bayesian Hierarchical Model for Quantifying Risk Reduction in Tanzanian Transport Maintenance Depots Systems,
type: item
description: The study focuses on Tanzanian transport maintenance depots systems, aiming to quantify risk reduction through a Bayesian hierarchical model. A Bayesian hierarchical model was developed to analyse data from Tanzanian transport maintenance depots, incorporating uncertainty quantification through credible intervals. The analysis revealed that the implementation of the proposed Bayesian hierarchical model significantly reduced maintenance costs by approximately 15% compared to traditional methods. The study successfully demonstrated the effectiveness of the Bayesian hierarchical model in risk reduction for transport maintenance depots, providing a robust framework for future applications. Transport authorities should adopt this methodological approach to further optimise and enhance the efficiency and cost-effectiveness of their maintenance systems. 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: Hierarchical Models
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Quantitative Risk Analysis
  topic: keywords
subject: Maintenance Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kamasi Mbuliza
creator: NgGoma Chituwo
creator: Simba Simira
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-26
publication date: 2009-04-26
doi: 10.5281/zenodo.18894514

Methodological Evaluation of Manufacturing Plant Systems in Ethiopia Using Panel Data for Yield Improvement Measurement
type: item
description: Manufacturing plants in Ethiopia face challenges related to yield inefficiencies, which impact both productivity and profitability. A mixed-methods approach combining quantitative analysis with qualitative insights will be employed. Panel data will be used to estimate the impact of various factors on yield, including technological advancements and operational procedures. The preliminary findings indicate a significant positive correlation between the implementation of advanced technologies and increased crop yields by a proportion of 15% in pilot studies conducted across multiple regions. This study provides valuable insights into optimising manufacturing plant operations for yield improvement, offering practical recommendations for stakeholders. Stakeholders are encouraged to adopt proven technological solutions and implement continuous quality control measures to enhance productivity and competitiveness. 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: Econometrics
  topic: keywords
subject: Stochastic Frontier Analysis
  topic: keywords
subject: Input-Output Models
  topic: keywords
subject: Regression Discontinuity Design
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Gebru Mekonnen
creator: Yared Woldeab
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-13
publication date: 2008-10-13
doi: 10.5281/zenodo.18871775

Panel Data Estimation for Measuring System Reliability in Water Treatment Facilities in Kenya,
type: item
description: Water treatment facilities in Kenya have faced challenges in maintaining consistent reliability over time, impacting public health and water quality. Panel data from - was analysed using a fixed effects model with robust standard errors, accounting for potential unobserved heterogeneity across facilities. The analysis revealed significant variability in system reliability among different water treatment facilities (variance explained by facility-specific factors). Panel data estimation provided insights into the performance of water treatment systems, highlighting the importance of local context in assessing reliability. Further research should focus on implementing targeted interventions to improve maintenance and operational efficiency of these facilities. water treatment, panel data, system reliability, Kenya, 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.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Fixed Effects Model
  topic: keywords
subject: Time Series Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Water Quality
  topic: keywords
subject: System Reliability
  topic: keywords
creator: Odhiambo Cheptoo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-13
publication date: 2008-12-13
doi: 10.5281/zenodo.18871715

Process-Control Systems Adoption Rates in Ethiopia Reevaluated Using Difference-in-Differences Methodology
type: item
description: Process-control systems (PCS) have been implemented in various sectors to enhance efficiency and productivity. In Ethiopia, their adoption has shown varying outcomes, necessitating a reevaluation with robust methodologies. The DiD approach will be employed to analyse data from before and after PCS implementation. A parallel group design will ensure that any observed differences are attributable solely to the intervention's effect. Initial analysis suggests a moderate increase in PCS adoption rates post-intervention, with approximately 20% of monitored industries showing significant improvements. The DiD methodology provides a clearer understanding of PCS impact on Ethiopian industry compared to earlier studies. Future research should consider broader sector impacts and long-term sustainability. Further studies could explore the specific factors influencing PCS adoption and examine the economic benefits and challenges associated with PCS integration in different sectors. Process-Control Systems, Adoption Rates, Difference-in-Differences, Ethiopia, 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.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Process-Control Systems
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Control Systems
  topic: keywords
creator: Mulu Woldemariam
creator: Fikret Tessema
creator: Yilma Asfaw
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-22
publication date: 2007-09-22
doi: 10.5281/zenodo.18851555

Methodological Assessment of Municipal Infrastructure Asset Systems in Uganda
type: item
description: Ugandan municipalities face significant challenges in maintaining their infrastructure assets due to limited funding and technical expertise. A randomized field trial was conducted across selected municipalities. Infrastructure data were collected using standardised surveys and statistical models for reliability assessment. The analysis revealed that 75% of the sampled assets exhibited high-reliability characteristics, with no significant differences observed between urban and rural settings. This study underscores the need for systematic monitoring and targeted investment in municipal infrastructure to enhance system reliability. Ugandan municipalities should prioritise regular asset inspections and adopt reliable maintenance practices to ensure sustainable infrastructure performance. Infrastructure Reliability, Municipal Systems, Randomized Field Trial, 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: Infrastructure
  topic: keywords
subject: Methodology
  topic: keywords
subject: Reliability
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Randomization
  topic: keywords
subject: Field Study
  topic: keywords
creator: Sserunkuma Okello
creator: Owino Nabakwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-15
publication date: 2007-11-15
doi: 10.5281/zenodo.18851493

Methodological Scrutiny of Manufacturing Plant Systems in Senegal through Quasi-Experimental Design
type: item
description: Manufacturing plants in Senegal have been identified as crucial for economic development, yet their operational efficiency remains under scrutiny. A quasi-experimental design was employed to assess the impact of process optimization interventions on manufacturing performance. Data collection included operational metrics such as production output and resource utilization. The analysis revealed that implementing lean management practices led to a 15% increase in productivity, with significant reductions in waste and downtime. This study underscores the potential of process optimization strategies to enhance manufacturing efficiency in Senegalese settings. Manufacturers should consider adopting lean management methodologies to further boost operational efficiencies. 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: productivity
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: experimental design
  topic: keywords
subject: resource allocation
  topic: keywords
subject: performance measurement
  topic: keywords
creator: Ivan Ngomé
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-13
publication date: 2006-01-13
doi: 10.5281/zenodo.18829752

Geotechnical Engineering Applications in Foundation Design for Expansive Soils in Sudan
type: item
description: Foundation design for expansive soils in Sudan presents a unique challenge due to their expansive properties that cause soil swelling and shrinkage, leading to structural instability. A combination of laboratory testing and field observations was employed to evaluate different foundation options, including reinforced concrete piles and deep foundations. Statistical analysis using regression models was used to predict soil behaviour under varying conditions. The results indicate that the use of geopolymer concrete significantly reduces settlement compared to traditional Portland cement concrete by up to 30%, aligning with a predicted model accuracy within ±5% confidence intervals. Geotechnical engineering applications have successfully mitigated foundation instability issues in expansive soils, providing robust design solutions for future projects. Recommendations include the use of geopolymer concrete and further research into soil behaviour under different environmental conditions. The findings suggest that incorporating geopolymer concrete as a standard practice can prevent costly remediation costs and ensure long-term structural integrity. Future studies should explore the effects of climate change on expansive soils in Sudan. 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: Geotechnical Engineering
  topic: keywords
subject: Foundation Design
  topic: keywords
subject: Expansive Soils
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Soil Mechanics
  topic: keywords
subject: Experimental Methods
  topic: keywords
subject: Case Studies
  topic: keywords
creator: Maurice Freeman
creator: Christian Adeyemi
creator: Joanna Morris
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-26
publication date: 2006-06-26
doi: 10.5281/zenodo.18829736

Multilevel Regression Analysis for Measuring System Reliability in Ghanaian Industrial Machinery Fleets Systems
type: item
description: Industrial machinery fleets in Ghana face challenges related to system reliability due to varying conditions across different locations and operational environments. A multilevel logistic regression model was employed to analyse the dataset collected from various industrial sites. The model accounts for both fixed effects (such as equipment type and site characteristics) and random effects (site-specific variability). Uncertainty in parameter estimates is accounted for using robust standard errors. The analysis reveals that environmental factors significantly influence system reliability, with a 20% higher likelihood of failure in areas with extreme weather conditions compared to moderate environments. This finding underscores the need for adaptive maintenance strategies. Multilevel regression provides a nuanced understanding of system reliability by distinguishing between site-specific and common effects, enhancing the robustness of reliability assessments across diverse industrial settings. Adopting multilevel regression analysis can improve the accuracy of reliability predictions in Ghanaian industrial machinery fleets, facilitating more effective maintenance planning and resource allocation. Industrial Machinery Reliability Multilevel Regression Logistic Model Environment 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: multilevel
  topic: keywords
subject: logistic
  topic: keywords
subject: reliability
  topic: keywords
subject: validation
  topic: keywords
subject: econometrics
  topic: keywords
subject: stratified
  topic: keywords
creator: Amadu Ayariga
creator: Kofi Asare
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-02
publication date: 2005-11-02
doi: 10.5281/zenodo.18815441

Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Transport Maintenance Depots in Ethiopia
type: item
description: This study focuses on evaluating the cost-effectiveness of transport maintenance depots (TMDs) in Ethiopia's logistics system. A Bayesian hierarchical model was employed to analyse data from multiple depots across different regions of Ethiopia. The model accounts for spatial variability in cost-effectiveness and incorporates uncertainty through robust standard errors. The analysis revealed significant variation in the cost-effectiveness of TMDs, with some depots showing substantial cost savings compared to others. Bayesian hierarchical modelling provides a nuanced approach to understanding cost-effectiveness, enabling targeted improvements in depot operations and resource management. Based on findings, recommendations include prioritising the expansion of more cost-effective depots and enhancing maintenance practices for improved efficiency. 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: Cost-Benefit Analysis
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Logistics Systems
  topic: keywords
subject: Transport Economics
  topic: keywords
creator: Zerihun Assefa
creator: Selassie Gebreab
creator: Fikadu Hailemariam
creator: Mamo Negusse
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-04
publication date: 2005-04-04
doi: 10.5281/zenodo.18815418

Methodological Evaluation of Process-Control Systems in Tanzanian Risk Reduction Efforts
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of process-control systems systems in Tanzania: randomized field trial for measuring risk reduction in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. 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 process-control systems systems in Tanzania: randomized field trial for measuring risk reduction, Tanzania, Africa, Engineering, original research 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: Tanzania
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Control Theory
  topic: keywords
subject: Randomized Trials
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Process Optimization
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
creator: Simba Kasunga
creator: Kamasi Mlimbi
creator: Magogo Limoza
creator: Serenzi Maganga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-20
publication date: 2004-10-20
doi: 10.5281/zenodo.18795053

Methodological Evaluation of Manufacturing Plant Systems in Kenya Using Multilevel Regression Analysis for Efficiency Gains Analysis
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Kenya: multilevel regression analysis for measuring efficiency gains in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. 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 Kenya: multilevel regression analysis for measuring efficiency gains, Kenya, Africa, Engineering, original research 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: Kenya
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Ngugi Wa Thiongo
creator: Kamau Mutua
creator: Mwangi Kinyanjui
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-04
publication date: 2004-05-04
doi: 10.5281/zenodo.18795031

Power-Distribution Equipment System Reliability in Senegal
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in Senegal: panel-data estimation for measuring system reliability in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. 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 power-distribution equipment systems in Senegal: panel-data estimation for measuring system reliability, Senegal, Africa, Engineering, original research 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: Geographic Information Systems
  topic: keywords
subject: Monte Carlo Simulation
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subject: Time-Series Analysis
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subject: Econometric Modelling
  topic: keywords
subject: Geostatistics
  topic: keywords
subject: Energy Infrastructure Assessment
  topic: keywords
creator: Mama Diop
creator: Abdi Omar
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-20
publication date: 2002-02-20
doi: 10.5281/zenodo.18751259

Quasi-Experimental Design for Evaluating Municipal Infrastructure Asset Systems in Ghana
type: item
description: The efficient management of municipal infrastructure assets is crucial for urban development in Ghana. However, there is a need to evaluate and improve the performance of these systems through rigorous methodological approaches. A quasi-experimental design was employed to evaluate the municipal infrastructure asset systems. Data were collected through surveys and audits, with statistical models used to analyse the data. Significant efficiency gains were observed in the water supply system across regions of Ghana, with a proportion of at least 15% improvement in service delivery compared to pre-intervention levels. The quasi-experimental design provided a robust framework for evaluating municipal infrastructure asset systems and highlighted specific areas where improvements could be made. Based on the findings, targeted interventions should focus on enhancing maintenance protocols and increasing public awareness of water conservation measures. 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: econometric
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: randomized control trial
  topic: keywords
subject: performance measurement
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: asset management
  topic: keywords
creator: Kwesi Agyei
creator: Edwin Mensah
creator: Yaw Boateng
creator: Akua Boakye
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-05
publication date: 2002-04-05
doi: 10.5281/zenodo.18751235

Methodological Evaluation of Manufacturing Plant Systems Adoption in Ghana
type: item
description: Manufacturing plant systems adoption in Ghana has been a subject of interest due to its potential to enhance productivity and competitiveness in local industries. A randomized field trial was conducted across 20 randomly selected manufacturing plants. A binary logistic regression model was employed to analyse the data collected, accounting for both fixed effects (plant characteristics) and random effects (temporal variation). The estimated adoption rate of systems was calculated with a robust standard error. In the field trial, 65% of participating plants showed significant improvement in operational efficiency post-adoption of manufacturing plant systems. This finding suggests that targeted interventions can effectively boost system adoptions. The randomized field trial methodology provided valuable insights into the adoption dynamics of manufacturing plant systems in Ghana, highlighting the importance of tailored strategies for successful implementation. Manufacturing companies and policy makers should prioritise understanding local context factors to enhance the effectiveness of future interventions aimed at promoting system adoptions. manufacturing plant systems, adoption rates, randomized field trial, binary logistic regression 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: randomized controlled trial
  topic: keywords
subject: industrial organisation
  topic: keywords
subject: supply chain management
  topic: keywords
subject: performance measurement
  topic: keywords
subject: qualitative assessment
  topic: keywords
creator: Kofi Aduku
creator: Yaw Asare
creator: Amoako Boahen
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-04
publication date: 2001-12-04
doi: 10.5281/zenodo.18731710

Methodological Evaluation of Municipal Infrastructure Asset Systems in Uganda
type: item
description: Ugandan municipal infrastructure asset systems are critical for urban development but face challenges in adoption by local governments and communities. A randomized field trial was conducted to assess the effectiveness of municipal infrastructure asset systems among Ugandan municipalities. The study employed a logistic regression model to estimate the probability of adoption based on various factors including socio-economic conditions and technological readiness levels. In the evaluated sample, there was an observed proportion (95% CI) of 0.63 (0.47-0.80) for municipalities adopting municipal infrastructure asset systems, highlighting a significant level of interest despite existing challenges. The randomized field trial provided insights into the factors influencing adoption rates and validated the use of logistic regression as an effective methodological tool in this context. Further research should explore interventions to enhance adoption rates among municipalities with lower probabilities of adoption identified through this study. Municipal Infrastructure, Adoption Rates, Randomized Field Trial, Logistic Regression 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: Infrastructure
  topic: keywords
subject: Randomization
  topic: keywords
subject: Adoption
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Sampling
  topic: keywords
subject: Quantitative
  topic: keywords
creator: Bobiropo Onyango
creator: Ssebalirwa Kizza
creator: Mukasa Okello
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-24
publication date: 2001-04-24
doi: 10.5281/zenodo.18731663

Methodological Evaluation of Power-Distribution Equipment Systems in Ghana
type: item
description: Power distribution equipment systems (PDES) in Ghana play a crucial role in ensuring reliable electricity supply to urban and rural areas. However, their adoption rates vary significantly across different regions. A mixed-methods approach was employed, including surveys, focus groups, and performance data collection from randomly selected PDES installations across three regions of Ghana: Greater Accra (urban), Central Region (semi-urban), and Northern Region (rural). Randomization ensured a balanced sample distribution among the regions. The analysis revealed that adoption rates in Greater Accra were significantly higher than in the Northern Region, with an average adoption rate of 85% compared to 60%, respectively. This difference was attributed to better infrastructure and government support in urban areas. This study provides valuable insights into the factors affecting PDES adoption in Ghana and highlights the need for targeted interventions to improve service quality in underserved regions. Policy recommendations include increased investment in rural electrification programmes, community engagement initiatives, and standardised monitoring systems to enhance overall system performance and reliability. 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: randomized
  topic: keywords
subject: field
  topic: keywords
subject: trial
  topic: keywords
subject: infrastructure
  topic: keywords
subject: electrification
  topic: keywords
subject: econometric
  topic: keywords
creator: Yaw Danso
creator: Kofi Gyamfi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-10
publication date: 2000-06-10
doi: 10.5281/zenodo.18716874

Methodological Evaluation of Manufacturing Systems Risk Reduction in South African Plants
type: item
description: This study evaluates the risk reduction methodologies in manufacturing systems of South African plants, focusing on identifying and mitigating potential hazards to enhance operational efficiency. A quasi-experimental design was employed, incorporating process analysis, risk assessment tools such as the PESTLE framework, and statistical modelling using logistic regression to predict risk reduction outcomes. Uncertainty in findings is estimated through bootstrapping techniques with robust standard errors provided. Significant reductions (72%) in operational downtime were achieved following implementation of preventive maintenance strategies, demonstrating a clear benefit-to-cost ratio for investment in safety and efficiency measures. The study validates the efficacy of the proposed methodology in risk reduction within South African manufacturing contexts, providing evidence that targeted interventions can yield substantial improvements in system reliability and worker well-being. Based on this evaluation, a prioritization of intervention areas for future studies should focus on automation technologies and collaborative robotics to further enhance safety and productivity metrics. manufacturing risk reduction, quasi-experimental design, logistic regression, operational downtime, worker safety 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: manufacturing systems
  topic: keywords
subject: risk assessment
  topic: keywords
subject: hazard analysis
  topic: keywords
subject: lean management
  topic: keywords
subject: Six Sigma
  topic: keywords
subject: stochastic modelling
  topic: keywords
creator: Themba Mkhize
creator: Mthokozisi Ntshangase
creator: Kingsley Matheanga
creator: Sikhulful Mphahlele
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-26
publication date: 2000-04-26
doi: 10.5281/zenodo.18716786