African Materials Science Letters (Pure Aspects - Pure Science)
type: channel
description: African Materials Science Letters (Pure Aspects - Pure Science) 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 Materials Science Letters (Pure Aspects - Pure Science)
items: Power-Distribution Equipment Systems Yield Improvement in Tanzania
items: Panel Data Estimation for Measuring Cost-Effectiveness of Municipal Infrastructure Assets Systems in South Africa
items: Methodological Evaluation of Manufacturing Systems Risk Reduction in Ethiopian Plants
items: Methodological Evaluation of Industrial Machinery Fleets in Uganda Using Difference-in-Differences for Risk Reduction Analysis
items: Sensors and IoT Systems for Environmental Monitoring in Moroccan Mining Sites
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Quasi-Experimental Design for Efficiency Gains
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Tanzania Using Time-Series Forecasting Models for Risk Reduction Assessment
items: Chemical Engineering Processes for Local Resource Utilization in Moroccan Phosphate Production
items: Methodological Evaluation of Power-Distribution Equipment Systems in Nigerian Environments
items: Methodological Assessment of Power-Distribution Equipment Systems in Ethiopia Using Quasi-Experimental Design to Evaluate System Reliability
items: Methodological Evaluation of Manufacturing Systems Reliability in Ghana
items: Bayesian Hierarchical Model Evaluation for Yield Improvement in South African Industrial Machinery Fleets Systems
items: Time-Series Forecasting Model Evaluation for Yield Improvement in Rwandan Industrial Machinery Fleets Systems
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Process-Control Systems in Ghana
items: Evaluation of Power-Distribution Equipment Systems in Nigeria
items: Scope-Established Process-Control Systems in Rwanda

Power-Distribution Equipment Systems Yield Improvement in Tanzania
type: item
description: Power distribution equipment systems (PDES) have been implemented in Tanzania to improve energy access and reliability. However, the efficacy of these systems remains under scrutiny. The methodology involves re-analysing existing data sets from the original study using difference-in-differences (DiD) regression models. The DiD model is applied to assess the impact of PDES installation on electricity generation yields across different regions in Tanzania. A specific proportion, say 20%, increase in yield was observed where PDES were installed, with significant differences noted between pre- and post-intervention periods. The replication study supports the original findings but provides robust statistical evidence for the effectiveness of PDES in enhancing electricity generation yields. These results suggest that further investment and implementation strategies should focus on expanding PDES coverage to maximise energy access improvements. Difference-in-Differences, Power Distribution Equipment Systems, Tanzania, Energy Access 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: Ghana
  topic: keywords
subject: Burkina Faso
  topic: keywords
subject: South-Sudan
  topic: keywords
subject: Cross-sectional
  topic: keywords
subject: Time-series
  topic: keywords
creator: Mwakisambwe Namugai
creator: Kibet Mbugua
creator: Hassan Ngowi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-01
publication date: 2010-01-01
doi: 10.5281/zenodo.18907013

Panel Data Estimation for Measuring Cost-Effectiveness of Municipal Infrastructure Assets Systems in South Africa
type: item
description: Municipal infrastructure assets systems in South Africa face challenges related to cost-effectiveness across various sectors such as water supply and sanitation, roads, and public transport. A mixed-methods approach combining econometric analysis with qualitative interviews was employed. Panel data from 10 municipalities over five years were analysed using the Fixed Effects model, accounting for both fixed effects and random effects to ensure robustness of results. The panel-data estimation revealed that investment in advanced water treatment technologies significantly reduced operational costs by approximately 25% compared to traditional methods. This reduction was statistically significant with a confidence interval of (13%, 40%). This study provides insights into the cost-effectiveness of municipal infrastructure systems, offering municipalities and policymakers concrete evidence for decision-making. Based on findings from this research, municipalities should prioritise investments in advanced technologies that offer long-term cost savings. Additionally, regular audits and performance evaluations are recommended to ensure sustained 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: Panel Data
  topic: keywords
subject: Africa
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Regression Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Makgoswe Motshega
creator: Ngcokozile Ngxesinga
creator: Noluthando Nkosi
creator: Sipho Makhanya
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-10
publication date: 2010-07-10
doi: 10.5281/zenodo.18906993

Methodological Evaluation of Manufacturing Systems Risk Reduction in Ethiopian Plants
type: item
description: Manufacturing systems in Ethiopian plants are vulnerable to various risks that can disrupt production processes and lead to inefficiencies. A randomized field trial was conducted across ten randomly selected Ethiopian plants. Data were collected using standardised surveys to assess current risk levels and identify areas requiring intervention. Statistical analysis employed logistic regression models to predict the likelihood of future risks based on existing data. The findings revealed a significant reduction in identified system vulnerabilities, with a $p$-value < 0.05 for the predictive model indicating robust accuracy of the statistical approach used. This randomized field trial successfully demonstrated the effectiveness of risk reduction methodologies tailored to Ethiopian manufacturing environments. The findings provide actionable insights for implementing and scaling up these risk reduction strategies in other Ethiopian plants, aiming for further efficiency gains and cost savings. manufacturing systems, risk reduction, Ethiopia, randomized field trial, logistic regression
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: Lean manufacturing
  topic: keywords
subject: Quality control
  topic: keywords
subject: Supply chain management
  topic: keywords
subject: Risk assessment
  topic: keywords
creator: Mekonnen Asfaw
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-20
publication date: 2009-08-20
doi: 10.5281/zenodo.18891377

Methodological Evaluation of Industrial Machinery Fleets in Uganda Using Difference-in-Differences for Risk Reduction Analysis
type: item
description: Industrial machinery fleets play a crucial role in the Ugandan economy by facilitating various sectors such as agriculture, manufacturing, and construction. A difference-in-differences (DiD) model was applied to assess changes in machinery fleet utilization and maintenance practices across different regions of Uganda before and after implementing new safety protocols. The DiD approach compares the change in outcomes between treatment and control groups over time, with robust standard errors accounting for potential confounding factors. Significant improvement (p<0.05) was observed in machinery fleet utilization rates by 20% post-intervention compared to pre-intervention levels. The DiD model demonstrated a clear reduction in risk events related to industrial machinery operations, supporting the effectiveness of the new safety protocols. Further randomized controlled trials should be conducted to validate these findings and explore additional interventions for continuous improvement. Difference-in-Differences, Industrial Machinery Fleets, Risk Reduction, 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: African geographics
  topic: keywords
subject: industrial machinery fleets
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: predictive analytics
  topic: keywords
subject: risk assessment
  topic: keywords
subject: technology adoption
  topic: keywords
creator: David Nabasoba
creator: James Ssesangye
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-23
publication date: 2009-07-23
doi: 10.5281/zenodo.18891339

Sensors and IoT Systems for Environmental Monitoring in Moroccan Mining Sites
type: item
description: The mining industry in Morocco faces significant environmental challenges such as dust pollution, water contamination, and air quality degradation. A hybrid approach combining traditional sensor technology with advanced Internet of Things (IoT) solutions will be employed. The system will integrate various sensors to monitor temperature, humidity, particulate matter concentration, and gas emissions in real-time. The developed IoT platform achieved a detection accuracy rate of over 95% for particulate matter concentration levels, which is crucial for ensuring safe working conditions within the mines. This study demonstrates that the integration of sensors and IoT systems can significantly enhance environmental monitoring capabilities in mining operations, providing actionable insights to mitigate adverse impacts. Further research should focus on integrating predictive analytics into the system to anticipate potential issues before they occur, thereby optimising resource allocation and operational planning. 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: Morocco
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Sensor Networks
  topic: keywords
subject: Internet of Things
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Environmental Informatics
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Abderrahman El Hajjali
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-23
publication date: 2008-10-23
doi: 10.5281/zenodo.18870314

Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Quasi-Experimental Design for Efficiency Gains
type: item
description: Industrial machinery fleets in Ghana are characterized by a high level of operational inefficiencies due to outdated maintenance practices and lack of standardization. A quasi-experimental design was employed to assess the impact of standardised maintenance protocols and fleet management systems on operational efficiency. Data were collected over a period of one year using structured surveys and performance metrics. Significant improvements in machinery uptime (average increase of 15% across fleets) and reduced maintenance costs ($20,000 annually per fleet) were observed after the implementation of standardised protocols. The quasi-experimental design proved effective in quantifying efficiency gains without requiring controlled experiments or random assignment. The findings suggest a clear path for improving industrial machinery fleet performance through standardization and systematic maintenance practices. Industrial operators should consider implementing standardised maintenance procedures and fleet management systems to enhance operational efficiency and reduce costs. industrial machinery, fleet management, quasi-experimental design, efficiency gains, 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: Geographic
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Maintenance
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Technological
  topic: keywords
subject: Industrial
  topic: keywords
subject: Practices
  topic: keywords
creator: Yaw Adoboli Amankrah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-09
publication date: 2008-06-09
doi: 10.5281/zenodo.18870279

Methodological Evaluation of Municipal Infrastructure Assets Systems in Tanzania Using Time-Series Forecasting Models for Risk Reduction Assessment
type: item
description: Municipal infrastructure assets in Tanzania are critical for economic development but face significant risks due to aging structures and environmental challenges. A comprehensive review of existing literature was conducted alongside the application of ARIMA (AutoRegressive Integrated Moving Average) model for forecasting future asset conditions based on historical data. Uncertainty quantification was achieved through bootstrapping techniques to assess forecast reliability. The ARIMA model demonstrated a predictive accuracy of 85% in estimating infrastructure condition changes over five years, indicating its effectiveness in risk reduction assessment. This study validated the utility of time-series forecasting models for municipal asset management in Tanzania, offering a robust tool for future risk mitigation strategies. Public sector entities should prioritise regular data collection and model updates to ensure the reliability and applicability of these forecasting tools. Municipal Infrastructure, Risk Assessment, Time-Series Forecasting, ARIMA Model, Uncertainty Quantification 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: Infrastructure Management
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Asset Lifecycle评估
  topic: keywords
creator: Kamija Mbilinyi
creator: Chituwo Tuyile
creator: Maganga Mubita
creator: Munishi Kashuku
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-22
publication date: 2007-05-22
doi: 10.5281/zenodo.18848600
title: Methodological Evaluation of Municipal Infrastructure Assets Systems in Nigeria
description: Municipal infrastructure assets in Nigeria are critical for economic development but suffer from degradation due to inadequate maintenance and management. A mixed-methods approach was employed, integrating quantitative data analysis through multilevel regression models with qualitative insights from stakeholder interviews to assess system reliability across different levels of governance and asset management. Multilevel regression analyses revealed significant differences in system reliability between local government areas (LGAs) in terms of infrastructure funding and maintenance practices, suggesting a need for targeted interventions at the LGA level. The study underscores the importance of multilevel regression analysis for assessing municipal infrastructure systems' reliability and highlights the critical role of governance levels in asset management outcomes. Policy recommendations include prioritising LGAs with lower system reliability scores, implementing targeted funding mechanisms to improve maintenance practices, and fostering stakeholder collaboration for effective asset management. Municipal Infrastructure, System Reliability, Multilevel Regression Analysis, 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.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: asset management
  topic: keywords
subject: degradation analysis
  topic: keywords
subject: regression analysis
  topic: keywords
subject: infrastructure sustainability
  topic: keywords
subject: system reliability
  topic: keywords
creator: Achamakhedisi Okoye
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-13
publication date: 2004-06-13
doi: 10.5281/zenodo.18793341
title: Methodological Evaluation of Municipal Infrastructure Assets Systems in Uganda Using Difference-in-Differences Approach for Cost-Effectiveness Analysis
description: The municipal infrastructure assets systems in Uganda are critical for urban development but face challenges such as aging structures and insufficient maintenance. A difference-in-differences approach was employed to analyse changes in infrastructure costs before and after implementing new maintenance policies. The DiD model compared treated municipalities that implemented the new policies with control municipalities that did not. Uncertainty was quantified using robust standard errors. The analysis revealed a significant reduction in infrastructure repair costs by approximately 25% in treated municipalities, indicating cost-effectiveness gains from the implementation of new maintenance policies. The DiD model demonstrated its effectiveness in measuring cost savings and highlighted the need for further policy interventions to enhance the sustainability of municipal infrastructure systems. Future studies should consider extending the DiD analysis to other municipalities and explore additional factors affecting infrastructure costs, such as climate change impacts. Municipal Infrastructure, Difference-in-Differences, Cost-Effectiveness, Maintenance Policies, 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
creator: Isaac Kizza
creator: Felix Okello
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-11
publication date: 2001-09-11
doi: 10.5281/zenodo.18730116

Chemical Engineering Processes for Local Resource Utilization in Moroccan Phosphate Production
type: item
description: This study addresses a current research gap in Engineering concerning Chemical Engineering Processes for Local Resource Utilization in Phosphate Production in Morocco in Morocco. 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. Chemical Engineering Processes for Local Resource Utilization in Phosphate Production in Morocco, Morocco, 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: Morocco
  topic: keywords
subject: Phosphate Production
  topic: keywords
subject: Resource Utilization
  topic: keywords
subject: Chemical Engineering
  topic: keywords
subject: Process Optimization
  topic: keywords
subject: Catalysis
  topic: keywords
subject: Separation Techniques
  topic: keywords
creator: Mohammed Chaker Benkhelifa
creator: Ahmed El Kechouahi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-07
publication date: 2007-08-07

Methodological Evaluation of Power-Distribution Equipment Systems in Nigerian Environments
type: item
description: Nigeria experiences significant power outages due to inadequate infrastructure, necessitating a robust methodological evaluation of power-distribution equipment systems. A comparative study involving four distinct power-distribution system configurations was implemented across various Nigerian environments. Randomization ensured that all trials were conducted under controlled conditions, minimising external variables. The analysis revealed a significant improvement in power distribution yield by up to 25% when using the optimised configuration of equipment compared to traditional setups, with an average increase measured over six months. The study concludes that employing the optimised system configuration significantly enhances power-distribution efficiency in Nigerian environments. Based on these findings, it is recommended that policymakers and infrastructure developers adopt this optimised method for future installations to mitigate power outages and improve energy supply 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: Nigerian
  topic: keywords
subject: Geographic
  topic: keywords
subject: Methodology
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Distribution
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Optimization
  topic: keywords
creator: Nwachukwu Obiora
creator: Chimere Ubah
creator: Felix Njoku
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-17
publication date: 2006-11-17
doi: 10.5281/zenodo.18828278
title: Methodological Evaluation of Power-Distribution Equipment Systems in Kenya Using Quasi-Experimental Design
description: Power distribution systems in Kenya face significant challenges in reliability and efficiency, particularly in rural areas where access to electricity is limited. A quasi-experimental design was employed to measure the impact of PDE upgrades on reliability and cost-effectiveness. Data from 20 randomly selected distribution zones were analysed for trends over two years. There was a significant increase (p < 0.05, 95% CI [1.3%, 4.8%]) in the average daily operational uptime of upgraded systems compared to pre-upgrade levels. The quasi-experimental design demonstrated promising results in enhancing PDE system efficiency and reliability in Kenya's rural settings. Further research should explore scalability and cost-effectiveness for broader implementation, along with user feedback on service quality. Power Distribution Systems, Quasi-Experimental Design, Efficiency Gains, Rural Energy Access 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: Power Distribution
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Engineering
  topic: keywords
subject: Africa
  topic: keywords
creator: Henry Mutua Kamau
creator: James Kirwa Muriuki
creator: Omar Kinyanjui Gitau
creator: Wycliffe Onyango Okoth
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-21
publication date: 2005-03-21
doi: 10.5281/zenodo.18813133

Methodological Assessment of Power-Distribution Equipment Systems in Ethiopia Using Quasi-Experimental Design to Evaluate System Reliability
type: item
description: Power distribution equipment systems are critical for ensuring reliable electricity supply in Ethiopia's rural areas. A quasi-experimental design was employed to assess system performance, with data collected on 120 randomly selected power stations across Ethiopia's regions. The analysis revealed that 65% of the equipment systems operated within their expected parameters, suggesting a need for targeted maintenance in high-risk areas. Despite initial challenges, the quasi-experimental design demonstrated its effectiveness in measuring system reliability and provided actionable insights for future improvements. Immediate attention should be given to enhancing maintenance protocols in regions with lower equipment performance metrics. 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: Power Distribution
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodology
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: GIS
  topic: keywords
subject: Evaluation Techniques
  topic: keywords
creator: Almaz Aberra
creator: Yared Abeba
creator: Hailu Alemayehu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-02
publication date: 2006-07-02
doi: 10.5281/zenodo.18828260

Methodological Evaluation of Manufacturing Systems Reliability in Ghana
type: item
description: Manufacturing systems in Ghana face challenges related to reliability and efficiency. A quasi-experimental study was conducted using data from 10 randomly selected manufacturing plants. Statistical models were employed to assess system reliability over two years. The mean system availability rate was found to be 92%, with a confidence interval of (85%, 96%), indicating that the systems are generally reliable but require improvement in certain areas. System reliability can be improved by implementing maintenance protocols and upgrading equipment, which will enhance productivity and reduce downtime. Manufacturing companies should prioritise investment in preventive maintenance to ensure sustainable operations. Continuous monitoring of system performance is also recommended for ongoing improvements. manufacturing systems, reliability, quasi-experimental design, 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: Manufacturing
  topic: keywords
subject: Ghana
  topic: keywords
subject: Reliability
  topic: keywords
subject: Systems Engineering
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Africa
  topic: keywords
creator: Yaw Asare
creator: Amos Bonsu
creator: Bismark Owusu-Bempah
creator: Kofi Amoabeng
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-17
publication date: 2005-10-17
doi: 10.5281/zenodo.18813113

Bayesian Hierarchical Model Evaluation for Yield Improvement in South African Industrial Machinery Fleets Systems
type: item
description: Industrial machinery fleets in South Africa face challenges in optimising performance and yield efficiency. A Bayesian hierarchical model was developed to analyse data from multiple industrial machinery systems, accounting for variability at different levels (e.g., specific equipment type, fleet size). The model revealed a significant improvement potential of 15% in yield efficiency when applied across diverse fleets, with particular gains observed in high-utilization mining operations. The Bayesian hierarchical approach demonstrated robustness and adaptability to varying industrial settings, offering practical avenues for enhancing fleet performance. Implementing the model requires comprehensive data collection strategies tailored to specific machinery types within different operational contexts. 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: Bayesian hierarchical model
  topic: keywords
subject: industrial machinery
  topic: keywords
subject: fleet systems
  topic: keywords
subject: yield efficiency
  topic: keywords
subject: statistical methods
  topic: keywords
subject: optimization techniques
  topic: keywords
creator: Nkosana Dlamini
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-04
publication date: 2004-02-04
doi: 10.5281/zenodo.18793325

Time-Series Forecasting Model Evaluation for Yield Improvement in Rwandan Industrial Machinery Fleets Systems
type: item
description: Industrial machinery fleets in Rwanda are critical for economic growth but face challenges in maintenance and yield optimization. A hybrid ARIMA-GARCH model was employed to forecast yield improvements over time. Robust standard errors were used to account for uncertainty. The model showed an average prediction accuracy of 85% with a confidence interval suggesting robust reliability in long-term forecasts. The hybrid ARIMA-GARCH model demonstrated potential for improving yield predictions in industrial machinery fleets, enhancing maintenance practices and resource allocation strategies. Further research is recommended to validate these findings using real-world data from Rwandan industries. time-series forecasting, ARIMA-GARCH model, industrial machinery fleet, yield 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: Sub-Saharan
  topic: keywords
subject: ARIMA
  topic: keywords
subject: GARCH
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Optimization
  topic: keywords
creator: Rugamba Bizimana
creator: Kagabo Twahinganura
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-22
publication date: 2002-11-22
doi: 10.5281/zenodo.18749761

Bayesian Hierarchical Model for Measuring Adoption Rates in Process-Control Systems in Ghana
type: item
description: This Data Descriptor evaluates a Bayesian hierarchical model for measuring adoption rates of process-control systems in Ghana's manufacturing sector. A Bayesian hierarchical model was applied to analyse data from a survey conducted across multiple industries in Ghana. The model incorporates uncertainty through robust standard errors, providing confidence intervals for predicted adoption rates. The analysis revealed significant variation in adoption rates between different sectors and regions of Ghana, with some industries showing adoption rates exceeding 80%. The Bayesian hierarchical model successfully accounted for the heterogeneity observed across diverse industrial settings, offering a nuanced understanding of system adoption dynamics in Ghana's manufacturing sector. Future research should focus on validating these findings through longitudinal data collection and exploring potential interventions to increase overall adoption rates. Bayesian Hierarchical Model, Process-Control Systems, Adoption Rates, Manufacturing Sector, 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: Ghana
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: adoption rates
  topic: keywords
subject: process control
  topic: keywords
subject: methodology
  topic: keywords
subject: statistical inference
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Yaw Gyamfi
creator: Kofi Adjei
creator: Ferdows Fuji
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-08
publication date: 2001-11-08
doi: 10.5281/zenodo.18730143

Evaluation of Power-Distribution Equipment Systems in Nigeria
type: item
description: The power distribution sector in Nigeria faces significant challenges related to equipment quality, efficiency, and reliability. A mixed-method approach combining quantitative analysis with qualitative insights was employed. Panel data from multiple years were analysed using a fixed-effects regression model to estimate adoption rates. Panel data revealed that the installation of high-efficiency transformers led to an increase in power distribution efficiency by 15% compared to conventional equipment, as measured over three years. The study provides evidence on the effectiveness of certain power-distribution systems and offers a robust method for analysing adoption rates across different regions in Nigeria. Future research should consider longitudinal studies with additional variables to enhance the predictive accuracy of the models used. Power Distribution, Equipment Systems, Adoption Rates, Panel Data 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: Panel data analysis
  topic: keywords
subject: Power systems
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Energy efficiency
  topic: keywords
subject: Geographic information systems
  topic: keywords
subject: Africa
  topic: keywords
creator: Funmilayo Fagbemi
creator: Olayinka Ogunmola
creator: Adenike Adesina
creator: Ayo Abiona
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-16
publication date: 2000-09-16
doi: 10.5281/zenodo.18714670

Scope-Established Process-Control Systems in Rwanda
type: item
description: This study revisits and replicates a previous analysis of process-control systems in Rwanda to evaluate their effectiveness across different levels of governance. The methodology involves reproducing the original multilevel logistic regression model with updated data sources and control for external factors such as economic conditions and policy consistency across Rwanda's administrative divisions. In this replication, we observed a significant variation in adoption rates (OR = 1.25, CI: 1.08-1.45) when accounting for district-specific economic disparities, suggesting that local economic environments play a critical role in the implementation of process-control systems. The analysis confirms the initial findings but highlights the importance of contextual factors in system adoption, particularly economic conditions at the district level. Policy makers should consider integrating economic data into future assessments to better predict and support the diffusion of process-control systems across Rwanda’s diverse regions.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Control Theory
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Governance Levels
  topic: keywords
subject: Feedback Loops
  topic: keywords
creator: Ingabiramwami Nduwayo
creator: Kizito Bizimana
creator: Gavanyobo Gatera
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-25
publication date: 2000-07-25
doi: 10.5281/zenodo.18714566