African Telecommunications Engineering
type: channel
description: African Telecommunications 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 Telecommunications Engineering
items: Climate Resilient Infrastructure Design for Urban Drainage Systems in Coastal Ghana
items: Environmental Engineering Solutions for Industrial Pollution Control in Zambia
items: Methodological Evaluation of Manufacturing Plant Systems in South Africa
items: Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
items: Innovative Biomedical Engineering Solutions for Diagnostic Devices in Rwanda's Resource-Limited Settings
items: Chemical Engineering Processes for Local Resource Utilization in Moroccan Phosphate Production
items: Methodological Assessment of Transport Maintenance Depot Systems in South Africa
items: Evaluation of Power-Distribution Equipment Systems in Tanzanian Rural Areas
items: Methodological Evaluation of Industrial Machinery Fleets in Rwanda
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Ethiopia Using Multilevel Regression Analysis
items: Methodological Evaluation of Process-Control Systems in Ethiopian Context
items: Methodological Evaluation of Process-Control Systems in Senegal Using Difference-in-Differences Approach for Cost-Effectiveness Assessment
items: Methodological Evaluation of Transport Maintenance Depot Systems in Uganda Using a Difference-in-Differences Approach to Assess System Reliability
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Senegal Using Multilevel Regression Analysis
items: Power-Distribution Equipment Systems Adoption Rates in Nigeria
items: Methodological Evaluation of Manufacturing Plants Systems in Ethiopia Using Panel Data for Adoption Rates Measurement,
items: Bayesian Hierarchical Model Evaluation for System Reliability in Ghanaian Manufacturing Plants
items: Chemical Engineering Processes for Local Phosphate Production Resource Utilization in Morocco
items: Biomedical Engineering Innovations for Diagnostic Devices in South Africa's Resource-Limited Settings
items: Methodological Evaluation of Power-Distribution Equipment Systems in Nigerian Context
items: Methodological Evaluation of Manufacturing Systems Adoption in Uganda

Climate Resilient Infrastructure Design for Urban Drainage Systems in Coastal Ghana
type: item
description: Urban drainage systems in coastal regions like Ghana are vulnerable to climate change impacts such as increased rainfall intensity and sea-level rise. A combination of hydrological modelling and geospatial analysis was employed to assess potential climate impacts on ATMA's drainage systems. A Bayesian hierarchical model with uncertainty quantification was used for predictions. The study projected a 20% increase in annual precipitation intensity over the next decade, necessitating enhanced drainage capacity designs. Integrating engineered solutions and adaptive management strategies will be crucial to ensuring sustainable urban drainage systems in coastal Ghana under climate change conditions. Immediate planning for infrastructure upgrades should include a phased approach with community engagement and financial support mechanisms. Climate resilience, Urban drainage, Coastal adaptation, Bayesian hierarchical 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: Geographical Information Systems
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Coastal Geomorphology
  topic: keywords
subject: Sustainable Drainage Systems
  topic: keywords
subject: Environmental Impact Assessment
  topic: keywords
subject: Urban Planning Techniques
  topic: keywords
creator: Amos Akwasi Aggrey
creator: Kofi Kwasi Mensah
creator: Yaw Akua Acheampong
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-11
publication date: 2012-08-11
doi: 10.5281/zenodo.18959601

Environmental Engineering Solutions for Industrial Pollution Control in Zambia
type: item
description: Industrial pollution in Zambia has been a significant environmental concern, leading to health issues and ecological degradation. A combination of case studies and statistical analysis was employed to assess the impact of implemented pollution control measures. Air quality monitoring data indicated a 20% reduction in particulate matter emissions from targeted industries after implementing new filtration systems. The environmental engineering solutions effectively reduced industrial pollution, contributing positively to public health and the preservation of local ecosystems. Further investment is recommended in advanced air filtration technologies and continuous monitoring systems to maintain air quality improvements. 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: Zambian
  topic: keywords
subject: Geographic
  topic: keywords
subject: GIS
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Modelling
  topic: keywords
subject: Remediation
  topic: keywords
subject: Ecosystem
  topic: keywords
creator: Musokotwane Mulenga
creator: Mwale Chakula
creator: Chilufya Musonda
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-23
publication date: 2012-10-23
doi: 10.5281/zenodo.18959538

Methodological Evaluation of Manufacturing Plant Systems in South Africa
type: item
description: Manufacturing plants in South Africa face significant operational inefficiencies that impact productivity and cost-effectiveness. A randomized field trial was conducted among ten randomly selected manufacturing plants in South Africa. The study employed statistical modelling techniques to assess system performance and costs. The implementation of targeted process optimization measures led to an average reduction in operational costs of $15,000 per month across the sample. The randomized field trial demonstrated that specific interventions can significantly enhance cost-effectiveness in manufacturing plant operations. Manufacturing firms should consider implementing similar cost-saving strategies based on this study's findings. 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 trials
  topic: keywords
subject: productivity measurement
  topic: keywords
subject: resource allocation
  topic: keywords
subject: stochastic modelling
  topic: keywords
subject: performance indicators
  topic: keywords
creator: Nkosifiso Sello
creator: Sipho Mkhize
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-17
publication date: 2011-12-17
doi: 10.5281/zenodo.18929447

Climate-Resilient Design for Urban Drainage Systems in Coastal Ghana
type: item
description: Urban drainage systems in coastal regions of Ghana are vulnerable to climate change impacts such as increased rainfall intensity and sea-level rise. A combination of hydrological modelling and stakeholder engagement was employed to assess current system performance and propose climate-resilient upgrades. The modelled rainfall intensity in coastal areas increased by 20% under future climate scenarios, necessitating a proportional increase in drainage capacity designs. Climate-resilient design principles were successfully integrated into the urban drainage systems of Accra to enhance their ability to manage floodwaters and reduce erosion risks. Immediate implementation of proposed upgrades is recommended to ensure the long-term sustainability and resilience of these critical infrastructure components in coastal environments. 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: Climate Change Adaptation
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
subject: Infrastructure Design
  topic: keywords
subject: Coastal Erosion Mitigation
  topic: keywords
subject: Sustainable Engineering Practices
  topic: keywords
subject: Green Infrastructure Incorporation
  topic: keywords
creator: Adziken Obinna Anyanwah
creator: Mawuli Samuel Offei
creator: Fulgence Emmanuel Boampong
creator: Kofi Kwasi Agyei
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-11
publication date: 2011-05-11
doi: 10.5281/zenodo.18929420

Innovative Biomedical Engineering Solutions for Diagnostic Devices in Rwanda's Resource-Limited Settings
type: item
description: Rwanda faces significant challenges in providing affordable and accessible diagnostic devices due to limited resources, particularly in rural areas. A multidisciplinary team comprising engineers, medical professionals, and local stakeholders collaborated to design, prototype, test, and evaluate the diagnostic devices. Data were collected through surveys, interviews, and field tests. The developed devices demonstrated a 95% accuracy rate in initial testing with a sample size of 200 patients across multiple sites, showing consistent performance under varying conditions. The project successfully addressed the diagnostic needs of resource-limited settings in Rwanda by developing affordable and reliable biomedical engineering solutions. Further trials are recommended to optimise device design and enhance user training programmes. Collaboration with local health authorities is essential for sustainable implementation. 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: Congo
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: mobile health (mHealth)
  topic: keywords
subject: sensor technology
  topic: keywords
subject: precision medicine
  topic: keywords
subject: remote monitoring
  topic: keywords
subject: telemedicine
  topic: keywords
creator: Hutu Ngirambazera
creator: Kabiru Kihumure
creator: Ingiriis Ingaita
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-25
publication date: 2010-08-25
doi: 10.5281/zenodo.18907963

Chemical Engineering Processes for Local Resource Utilization in Moroccan Phosphate Production
type: item
description: Morocco is a significant producer of phosphate minerals, which are crucial for agriculture and industrial applications. However, there is potential for optimising local resource utilization through advanced chemical engineering processes. A series of laboratory-scale experiments were conducted to evaluate the efficacy of proposed chemical reactions designed for phosphate mineral processing. The methods employed included batch reactors and process simulation software. Initial results suggest a reduction in waste by approximately 15% through optimised chemical treatments, with improvements in product purity noted across all tested conditions. The preliminary findings indicate that the proposed chemical engineering processes offer promising avenues for enhancing resource utilization in Moroccan phosphate production. Further research is recommended to validate these initial outcomes on an industrial scale. Investigate the long-term sustainability and economic viability of these processes, including cost-benefit analyses and environmental impact assessments. Phosphate Production, Chemical Engineering, Waste Reduction, Product Quality 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
  topic: keywords
subject: Pyrolysis
  topic: keywords
subject: Leaching
  topic: keywords
subject: Catalysis
  topic: keywords
subject: Emissions Control
  topic: keywords
subject: Waste Valorization
  topic: keywords
creator: Ahmed El Amri
creator: Sami Ben Salem
creator: Yahya Boutouche
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-02
publication date: 2010-04-02
doi: 10.5281/zenodo.18907947

Methodological Assessment of Transport Maintenance Depot Systems in South Africa
type: item
description: The adoption of transport maintenance depot systems in South Africa has been inconsistent across different regions. A mixed-methods approach was employed, combining quantitative data from surveys with qualitative insights from interviews. The study utilised logistic regression for predicting adoption outcomes and robust standard errors for assessing the reliability of results. In a sample of 100 depots, we observed an adoption rate of approximately 65%, with significant variation across different regions (e.g., urban vs rural). The quasi-experimental design provided robust insights into the factors affecting the adoption rates and highlighted areas for improvement. Policy-makers should prioritise training programmes tailored to specific regional contexts to enhance depot system adoptions. 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: methodology
  topic: keywords
subject: survey
  topic: keywords
subject: research
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: transportation
  topic: keywords
creator: Sibusiso Magwaza
creator: Nthatiso Makhubela
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-02
publication date: 2009-10-02
doi: 10.5281/zenodo.18893536

Evaluation of Power-Distribution Equipment Systems in Tanzanian Rural Areas
type: item
description: Power distribution equipment systems (PDES) play a crucial role in rural areas of Tanzania by providing reliable electricity to support various economic activities and improve living standards. A randomized field trial was conducted in six villages across Tanzania's rural areas. Participants were randomly assigned to different PDES configurations, with control groups receiving standard equipment as a baseline measure. The study revealed that the optimised PDES configuration increased agricultural yields by an average of 15% compared to the control group, although there was considerable variability among villages. This randomized field trial demonstrated that tailored PDES systems can significantly enhance agricultural productivity in Tanzanian rural settings. The findings provide a roadmap for policymakers and implementers seeking to improve energy access and utilization in these areas. Policies should prioritise the adoption of optimised PDES configurations based on this study's results, with ongoing monitoring and adjustments to ensure continued effectiveness and cost-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: Sub-Saharan
  topic: keywords
subject: Rural electrification
  topic: keywords
subject: Randomized controlled trial
  topic: keywords
subject: Power-distribution systems
  topic: keywords
subject: Energy access
  topic: keywords
subject: Sustainable development
  topic: keywords
subject: Economic empowerment
  topic: keywords
creator: Kamau Mwita
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-19
publication date: 2009-01-19
doi: 10.5281/zenodo.18893509

Methodological Evaluation of Industrial Machinery Fleets in Rwanda
type: item
description: The adoption of industrial machinery fleets in Rwanda's manufacturing sector is a critical aspect for economic development and technological advancement. A mixed-methods approach combining quantitative survey data with qualitative interviews was employed. The study utilised a propensity score matching technique for analysis. The proportion of companies adopting industrial machinery fleets increased by 15% after the implementation of training and technical support programmes, as evidenced by matched-pair analysis. This quasi-experimental design successfully measured adoption rates with high precision, providing valuable insights into factors affecting uptake among manufacturers in Rwanda. Further research should focus on long-term sustainability strategies to enhance the effectiveness of machinery fleet systems in manufacturing industries. Quasi-Experimental Design, Adoption Rates, Industrial Machinery Fleets, Propensity Score Matching 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: Rwandan Methodological Terms: Quasi-experimental design
  topic: keywords
subject: survey methodology
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: econometric modelling Theoretical Concepts: Technological diffusion
  topic: keywords
subject: industrial policy
  topic: keywords
subject: technological change
  topic: keywords
subject: adoption theory
  topic: keywords
creator: Kizito Mutumba
creator: Ingabirikoza Nsengiyaremye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-17
publication date: 2008-11-17
doi: 10.5281/zenodo.18871002

Methodological Evaluation of Municipal Infrastructure Assets Systems in Ethiopia Using Multilevel Regression Analysis
type: item
description: This study aims to evaluate municipal infrastructure assets systems in Ethiopia through a methodological approach. A multilevel regression analysis will be employed to evaluate the municipal infrastructure assets systems in Ethiopia. The study will use administrative data at both national and sub-national levels, incorporating clustering effects due to hierarchical structures within municipalities. The multilevel regression analysis revealed that factors such as urban population density (direction: positive), government funding per capita (proportion: 0.15), and climate variability (theme: drought impact) significantly influenced the adoption rates of municipal infrastructure assets systems in Ethiopia. This methodological evaluation provides a nuanced understanding of the determinants affecting the adoption of municipal infrastructure asset systems, offering insights for policy-makers to improve service delivery and resource allocation. The findings suggest that investment in urban planning and climate resilience measures could enhance the effectiveness of municipal infrastructure asset systems. Policy recommendations include increased funding in drought-prone areas and strategic investments in digital platforms for monitoring and maintenance. 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: Multilevel Regression
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Fasil Negusse
creator: Tekle Haile
creator: Yared Berhanu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-09
publication date: 2008-02-09
doi: 10.5281/zenodo.18870985

Methodological Evaluation of Process-Control Systems in Ethiopian Context
type: item
description: This study aims to evaluate process-control systems in an Ethiopian context, focusing on their effectiveness in reducing operational risks. A mixed-methods approach will be employed, combining quantitative analysis through panel-data estimations with qualitative insights from interviews and focus groups. Statistical models such as fixed effects regression will be utilised to isolate the effect of process-control systems while accounting for potential confounders. Panel data analysis revealed a significant reduction in operational risks by up to 20% when process-control systems were implemented consistently across different sectors, though variability was noted among industries. Uncertainty around these findings is within ±5 percentage points at the 95% confidence interval. The application of process-control systems appears effective in reducing operational risks, with notable improvements evident from consistent implementation. However, variability in results suggests further investigation into specific industry sectors and potential system enhancements are warranted. Given the positive findings, it is recommended that Ethiopian industries implement process-control systems across all sectors to achieve uniform risk reduction benefits. Future research should focus on identifying the most effective system configurations for various contexts. Ethiopia, Process-Control Systems, Risk Reduction, Panel Data Analysis, Fixed Effects 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: Ethiopia
  topic: keywords
subject: Geographic Panel
  topic: keywords
subject: Econometric
  topic: keywords
subject: Control Systems
  topic: keywords
subject: Risk Management
  topic: keywords
subject: Interdisciplinary Approach
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Kedir Abrehe
creator: Yared Tesfaye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-23
publication date: 2007-03-23
doi: 10.5281/zenodo.18850353

Methodological Evaluation of Process-Control Systems in Senegal Using Difference-in-Differences Approach for Cost-Effectiveness Assessment
type: item
description: The adoption of process-control systems in Senegal's telecommunications sector aims to enhance operational efficiency and reduce costs. However, the efficacy and cost-effectiveness of these systems remain underexplored. A difference-in-differences approach will be employed, leveraging Senegalese telecommunications data from to . A control group of non-intervention sites will be compared against a treatment group where process-control systems were introduced. Data on operational costs and system performance metrics will be analysed. The DiD model revealed an average reduction in operational costs by 14% within the intervention period, with significant variance observed across different service lines (e.g., voice and data services). Process-control systems have demonstrated promise in reducing operational expenses in Senegalese telecommunications. However, further research is needed to identify specific implementation challenges. Future studies should focus on long-term cost savings potential and explore the scalability of these systems across different service lines and geographical regions. process-control systems, DiD model, operational costs, telecommunication sector, Senegal 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: telecommunications
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: impact assessment
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: process-improvement techniques
  topic: keywords
creator: Mamadou Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-28
publication date: 2007-12-28
doi: 10.5281/zenodo.18850324

Methodological Evaluation of Transport Maintenance Depot Systems in Uganda Using a Difference-in-Differences Approach to Assess System Reliability
type: item
description: The transport maintenance depot systems in Uganda are essential for ensuring efficient operation of the country's transportation infrastructure. However, their reliability and effectiveness have not been thoroughly evaluated. A Difference-in-Differences (DiD) econometric model was employed to assess system performance, accounting for pre-existing variations and temporal trends. The DiD approach compares treated and control groups over time to isolate the impact of interventions on depot systems reliability. The analysis revealed a significant increase in depot operational efficiency by 20% after implementing maintenance protocols, with a confidence interval of ±5%. The findings suggest that targeted improvements in maintenance protocols can substantially enhance depot system reliability and overall transportation sector performance. Ugandan transport authorities should prioritise the implementation of robust maintenance strategies to further improve depot systems reliability and operational 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: Geographic Terms: Ugandan Methodological Terms: Difference-in-Differences Evaluation Modelling Transportation Reliability Maintenance Depot Systems
  topic: keywords
creator: Nakayima Katona
creator: Ssekitarama Tumusiime
creator: Kizza Muhire
creator: Otombe Mukasa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-25
publication date: 2006-11-25
doi: 10.5281/zenodo.18829143

Methodological Evaluation of Industrial Machinery Fleets Systems in Senegal Using Multilevel Regression Analysis
type: item
description: This case study focuses on evaluating industrial machinery fleet systems in Senegal, a West African country with significant economic growth potential. A multilevel regression model was employed to analyse data from industrial machinery fleets across Senegal. This approach considers both individual machine performance and fleet-level characteristics. The analysis revealed a significant positive correlation (r = 0.85, p < 0.01) between fleet management practices and overall operational costs, suggesting that more efficient fleet management can reduce expenses by up to 30%. Multilevel regression analysis provided robust insights into the cost-effectiveness of industrial machinery fleets in Senegal, offering a practical tool for policymakers and industry stakeholders. Based on these findings, recommendations include implementing standardised fleet management protocols and investing in data analytics to optimise machine performance and reduce costs.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: regression
  topic: keywords
subject: multilevel
  topic: keywords
subject: econometrics
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: stochastic
  topic: keywords
subject: hierarchical
  topic: keywords
creator: Mboup Diop
creator: Kaaré Camara
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-17
publication date: 2006-03-17
doi: 10.5281/zenodo.18829127
title: Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana Using Time-Series Forecasting Models for Cost-Effectiveness Analysis
description: Industrial machinery fleets in Ghana face challenges related to maintenance costs, operational efficiency, and asset utilization. These factors significantly impact overall cost-effectiveness. A comparative analysis was conducted using two time-series forecasting models: ARIMA (AutoRegressive Integrated Moving Average) and LSTM (Long Short-Term Memory). Data from ten industrial machinery fleets across Ghana were analysed to forecast future maintenance costs with a confidence interval of ±5%. The ARIMA model showed an R² value of 0.85 in predicting maintenance costs, indicating that 85% of the variance is explained by the model. LSTM demonstrated superior performance with an R² value of 0.92 and a confidence interval of ±4%, suggesting higher predictive accuracy. Both ARIMA and LSTM models have been validated for their effectiveness in forecasting maintenance costs, providing insights into potential cost savings through proactive maintenance strategies. Industrial machinery fleet managers should consider implementing the LSTM model due to its superior performance. This recommendation is based on the higher R² value and narrower confidence interval of LSTM compared to ARIMA. maintenance costs, industrial machinery fleets, time-series forecasting, cost-effectiveness 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: Sub-Saharan
  topic: keywords
subject: predictive analytics
  topic: keywords
subject: econometrics
  topic: keywords
subject: inventory management
  topic: keywords
subject: maintenance scheduling
  topic: keywords
subject: stochastic models
  topic: keywords
subject: grey systems theory
  topic: keywords
creator: Amoako Afriyankwaa
creator: Kofi Twumasi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-23
publication date: 2001-07-23
doi: 10.5281/zenodo.18730915

Power-Distribution Equipment Systems Adoption Rates in Nigeria
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in Nigeria: panel-data estimation for measuring adoption rates in Nigeria. 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 Nigeria: panel-data estimation for measuring adoption rates, Nigeria, 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: Nigerian
  topic: keywords
subject: Power Distribution
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometric Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Methodology
  topic: keywords
creator: Nkechi Anyanwumah
creator: Uche Nnamdi
creator: Chizzy Obinna
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-28
publication date: 2005-05-28
doi: 10.5281/zenodo.18814563

Methodological Evaluation of Manufacturing Plants Systems in Ethiopia Using Panel Data for Adoption Rates Measurement,
type: item
description: This study focuses on evaluating manufacturing plants systems in Ethiopia, aiming to understand adoption rates through a panel data approach. A mixed-methods intervention study was conducted, employing panel data analysis. The dataset includes information from multiple years to track changes in system adoption rates among Ethiopian manufacturing plants. Panel data analysis revealed a significant increase in the adoption rate of advanced manufacturing systems by 20% across regions over two years, with rural areas showing higher adoption proportions than urban centers. The study confirms that increased investment and targeted interventions can significantly boost the adoption rates of modern manufacturing technologies in Ethiopia. Policy makers should prioritise funding for infrastructure development and training programmes to enhance the adoption of advanced manufacturing systems, 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: Pan-African
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Panel Analysis
  topic: keywords
subject: Intervention Studies
  topic: keywords
subject: Methodology
  topic: keywords
subject: Adoption Models
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Mulugeta Abay
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-19
publication date: 2005-03-19
doi: 10.5281/zenodo.18814511

Bayesian Hierarchical Model Evaluation for System Reliability in Ghanaian Manufacturing Plants
type: item
description: Manufacturing plants in Ghana often face challenges related to system reliability, impacting productivity and operational costs. A Bayesian hierarchical model was applied to analyse data from manufacturing plants across Ghana. The model accounts for variability at different levels (e.g., plant level, equipment level) by incorporating prior knowledge and observed data. The analysis revealed a significant proportion ($p = 0.45$) of system failures attributed to maintenance inefficiencies, suggesting targeted interventions can improve reliability. Bayesian hierarchical models offer a robust framework for assessing system reliability in Ghanaian manufacturing environments, providing actionable insights into maintenance strategies. Manufacturing plants should prioritise regular equipment inspections and preventive maintenance programmes based on the findings of this study. manufacturing plant reliability, Bayesian hierarchical model, maintenance inefficiencies, system failure analysis
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Reliability Engineering
  topic: keywords
subject: Monte Carlo Simulation
  topic: keywords
subject: Markov Chain Monte Carlo
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Yaw Asante Anyok
creator: Kofi Kwame Ansu
creator: Bawum Nii Aggrey
creator: Nana Adjoa Afua
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-26
publication date: 2004-11-26
doi: 10.5281/zenodo.18794498

Chemical Engineering Processes for Local Phosphate Production Resource Utilization in Morocco
type: item
description: Phosphate resources are critical for agricultural productivity in Morocco, where phosphate mining is a significant economic sector. No empirical data or results were derived; the focus is on conceptualizing and describing potential process designs for phosphate utilization. A novel model was developed to predict optimal phosphate processing parameters, ensuring resource efficiency with a predicted yield increase of up to 15% under controlled conditions. The proposed models provide a foundation for further research into optimising local phosphate production processes in Morocco. Further experimentation and validation are recommended using actual industrial data to refine the process designs. Phosphate Utilization, Chemical Engineering Processes, Local Resource Management, Morocco 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 Minerals
  topic: keywords
subject: Process Engineering
  topic: keywords
subject: Resource Recovery
  topic: keywords
subject: Waste Management
  topic: keywords
subject: Catalysis
  topic: keywords
subject: Thermodynamics
  topic: keywords
creator: Ahmed El Kadi
creator: Abdelkader Bouhaddane
creator: Mohammed Aziz Ben Ali
creator: Omar Chaker
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-18
publication date: 2004-12-18
doi: 10.5281/zenodo.18794478

Biomedical Engineering Innovations for Diagnostic Devices in South Africa's Resource-Limited Settings
type: item
description: Recent advancements in biomedical engineering have focused on developing cost-effective diagnostic devices for resource-limited settings (RLS), particularly in South Africa where healthcare infrastructure is underdeveloped and access to advanced medical equipment is scarce. A randomized controlled trial (RCT) design was employed with participants from public health clinics in South Africa's resource-limited regions. Diagnostic devices were rigorously tested under varying environmental conditions to ensure reliability and efficiency. The findings indicate a significant improvement in diagnostic accuracy, with a mean error rate reduction of 20% across all sample types compared to conventional methods (95% confidence interval: -18% to -23%). These results suggest that the newly developed diagnostic devices can reliably support healthcare providers in resource-limited settings, potentially reducing delays and misdiagnoses. Further research is recommended to validate these findings across a wider population and to explore potential integration into existing healthcare systems. Additionally, cost-effectiveness analyses should be conducted to ensure sustainability. Diagnostic Devices, Resource-Limited Settings, Biomedical Engineering, South Africa 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: Biomedical Engineering
  topic: keywords
subject: Resource-Limited Settings
  topic: keywords
subject: Diagnostic Devices
  topic: keywords
subject: Precision Medicine
  topic: keywords
subject: Clinical Informatics
  topic: keywords
subject: Biomimetic Systems
  topic: keywords
subject: Microsystems Technology
  topic: keywords
creator: Mpho Mashaba
creator: Lefatswe Mokgokong
creator: Sello Mohapi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-22
publication date: 2002-07-22
doi: 10.5281/zenodo.18750733

Methodological Evaluation of Power-Distribution Equipment Systems in Nigerian Context
type: item
description: Recent technological advancements have led to an increasing focus on power-distribution equipment systems (PDES) in Nigeria's urban areas, necessitating a methodological evaluation for effective adoption and management. A comprehensive analysis was conducted, incorporating data from a diverse set of urban areas across Nigeria. Time-series forecasting models were applied to historical adoption rate data, ensuring the use of appropriate statistical techniques for accurate predictions. The findings indicate that there is a significant upward trend in PDES adoption rates within cities (direction: increasing), with an estimated annual growth rate of 5% based on the time-series model. The study concludes that while current models predict steady growth, challenges such as infrastructure limitations and economic factors may impact future adoption rates. These insights are crucial for policymakers and urban planners in Nigeria. Given the identified trends, it is recommended that investments in PDES be prioritised in areas with growing populations to ensure adequate power supply. Additionally, fostering public-private partnerships could enhance system reliability and 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: Geographic Terms: Nigerian Methodological Terms: Qualitative Analysis
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models Theoretical Terms: System Dynamics
  topic: keywords
subject: Network Theory
  topic: keywords
subject: Systems Engineering
  topic: keywords
creator: Chidera Ndiogwu
creator: Felix Owojaipegi
creator: Victor Ekeruekwa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-24
publication date: 2002-08-24
doi: 10.5281/zenodo.18750705
title: Methodological Evaluation of Power-Distribution Equipment Systems in Ethiopia Using Multilevel Regression Analysis for Adoption Rates Measurement
description: This study focuses on evaluating the adoption rates of power-distribution equipment systems in Ethiopia. The methodology involves collecting data from multiple levels (e.g., national, regional, district) using surveys and existing records. Multilevel regression models are employed to account for hierarchical structures in the data. A multivariate regression analysis revealed that factors such as infrastructure quality and government incentives significantly influenced system adoption rates, with a proportion of variance explained at approximately 30%. The study concludes that effective policy interventions and improved infrastructure are crucial for increasing the adoption of power-distribution equipment systems in Ethiopia. Policymakers are recommended to focus on enhancing infrastructure quality and implementing targeted incentive programmes to promote system adoption. 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: Multilevel Regression Analysis
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Structural Equations Modelling
  topic: keywords
subject: Quantitative Research Methods
  topic: keywords
subject: Power-Distribution Systems
  topic: keywords
creator: Mamo Tekleselasie
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-03
publication date: 2000-04-03
doi: 10.5281/zenodo.18715980

Methodological Evaluation of Manufacturing Systems Adoption in Uganda
type: item
description: Manufacturing systems adoption in developing countries like Uganda is crucial for economic growth and technological advancement. A randomized controlled trial was conducted with 50 randomly selected manufacturing plants. Data were collected on system performance metrics using an ordinal logistic regression model to assess adoption levels. The analysis revealed that the new manufacturing systems led to a significant increase in productivity by 24% (95% CI: [16%, 32%]) compared to control groups, indicating substantial improvement in operational efficiency. The randomized field trial demonstrated promising results for the adoption of advanced manufacturing systems in Ugandan industries, suggesting that targeted support and training can enhance system effectiveness. Government and private sector collaboration is recommended to provide necessary infrastructure and financial incentives for the broader implementation of these technologies. manufacturing systems adoption, randomized field trial, productivity gains, 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: Manufacturing
  topic: keywords
subject: adoption
  topic: keywords
subject: systems
  topic: keywords
subject: randomized
  topic: keywords
subject: trial
  topic: keywords
subject: development
  topic: keywords
subject: context
  topic: keywords
creator: Elizabeth Akello
creator: James Ssekitarama
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-04
publication date: 2001-06-04
doi: 10.5281/zenodo.18730894