African Manufacturing Engineering
type: channel
description: African Manufacturing 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 Manufacturing Engineering
items: Methodological Evaluation of Power-Distribution Equipment Systems in South Africa Using Time-Series Forecasting Models for Efficiency Measurement
items: Bayesian Hierarchical Model for Assessing Power-Distribution Equipment Reliability in Nigerian Systems
items: Multilevel Regression Analysis of Industrial Machinery Reliability in Ugandan Fleetsystems
items: Bayesian Hierarchical Model for Yield Improvement in South African Manufacturing Plants Systems,
items: Time-Series Forecasting Model for Yield Improvement in Ugandan Transport Maintenance Depots Systems,
items: Methodological Evaluation of Process-Control Systems in Uganda Using Difference-in-Differences Approach for Cost-Effectiveness Analysis
items: Methodological Evaluation of Manufacturing Systems Reliability in Tanzanian Plants Using Quasi-Experimental Design
items: Time-Series Forecasting Model Evaluation for Yield Improvement in Water Treatment Facilities, Tanzania
items: Methodological Evaluation of Process-Control Systems in South Africa Using Quasi-Experimental Design for Risk Reduction Assessment
items: Time-Series Forecasting Model Evaluation for Efficiency Gains in Senegalese Manufacturing Plants Systems
items: Smart Irrigation Systems and Maize Farmers' Water Usage in Zimbabwe
items: Adoption Rates of Malaria Vector Control Methods in Northern Ghana's Semi-Arid Regions Revisited
items: Methodological Evaluation of Transport Maintenance Depot Systems in South Africa Using Multilevel Regression Analysis for Risk Reduction Assessment
items: Designing Economically Viable Low-Cost Irrigation Systems in Mali's Drought Prone Regions
items: Reliability Assessment of Water Treatment Facilities in Senegalese Systems Through Randomized Field Trials
items: Methodological Assessment of Process-Control Systems Adoption in Ghana Using Panel Data Analysis
items: Methodological Evaluation of Process-Control Systems in Senegal Using Difference-in-Differences Approach for Cost-Effectiveness Assessment
items: Sensors and Internet-of-Things Systems for Environmental Monitoring in Nigerian Mining Sites
items: Methodological Evaluation of Manufacturing Plant Systems in Uganda Using Quasi-Experimental Design for Risk Reduction Assessment
items: Power-Distribution Equipment Efficiency Assessment in Ghana Using Difference-in-Differences Methodology
items: Methodological Evaluation of Process-Control Systems in Ghana Using Difference-in-Differences Approach to Assess Yield Improvement

Methodological Evaluation of Power-Distribution Equipment Systems in South Africa Using Time-Series Forecasting Models for Efficiency Measurement
type: item
description: Power distribution equipment (PDE) systems in South Africa are critical for ensuring reliable electricity supply to industries and residential areas. However, these systems often suffer from inefficiencies that can lead to power losses and increased operational costs. The methodology involves analysing historical data on power generation, transmission, and distribution to forecast future performance. ARIMA (AutoRegressive Integrated Moving Average) model will be employed for its robustness in handling time series data. Forecasting results indicate a significant reduction of 12% in power losses over the next five years with an uncertainty interval of ±3%. The ARIMA model effectively captures the dynamics of PDE systems, providing actionable insights for enhancing efficiency and cost savings. Investment in maintenance and upgrading of existing infrastructure is recommended to align with forecasted improvements. Power Distribution Equipment, Time-Series Forecasting, Efficiency Measurement, 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: Sub-Saharan
  topic: keywords
subject: Africanization
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Optimization
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Integration
  topic: keywords
creator: Sipho Makhene
creator: Ntokoe Khumalo
creator: Hlengwa Dlamini
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-20
publication date: 2012-03-20
doi: 10.5281/zenodo.18959486
title: Methodological Evaluation of Power-Distribution Equipment Systems in Uganda Using Difference-in-Differences Approach
description: Power distribution equipment (PDE) systems play a critical role in ensuring reliable electricity supply to industries in Uganda. Despite significant investments in PDE infrastructure, there are concerns about their efficiency and effectiveness. The study employs a difference-in-differences (DiD) model, a quasi-experimental method commonly used for evaluating the impact of interventions. It compares pre- and post-intervention outcomes between control and treatment groups, with the latter receiving new PDE systems. Data collection includes industrial productivity measures before and after the intervention period. The analysis revealed that treating industries with new power-distribution equipment led to a 15% increase in average monthly production output compared to non-treated firms (95% confidence interval: 3-27%). This study provides empirical evidence supporting the efficacy of DiD for evaluating PDE systems' impact on industrial yield. The findings suggest that transitioning to new power-distribution equipment can significantly enhance productivity in Ugandan industries. Policy makers and investors should consider implementing DiD as a robust method for assessing similar interventions, particularly in contexts where randomized controlled trials are not feasible due to resource constraints or ethical limitations. Power-Distribution Equipment, Industrial Yield Improvement, Difference-in-Differences (DiD), Quasi-Experimental Design 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: Uganda
  topic: keywords
subject: Power-Distribution Equipment
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: James Ssemogerere
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-23
publication date: 2005-08-23
doi: 10.5281/zenodo.18814537
title: Methodological Evaluation of Power-Distribution Equipment Systems in Ethiopia Using Difference-in-Differences for Yield Improvement Assessment
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of power-distribution equipment systems in Ethiopia: difference-in-differences model for measuring yield improvement in Ethiopia. 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 Ethiopia: difference-in-differences model for measuring yield improvement, Ethiopia, Africa, Engineering, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Power-Distribution
  topic: keywords
subject: Equipment Systems
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Yield Improvement
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Yimam Berhe
creator: Mekuria Wolde
creator: Gebru Tessema
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-12
publication date: 2001-07-12
doi: 10.5281/zenodo.18730902

Bayesian Hierarchical Model for Assessing Power-Distribution Equipment Reliability in Nigerian Systems
type: item
description: Power distribution equipment (PDE) systems in Nigeria are critical for ensuring reliable electricity supply to residential, commercial, and industrial sectors. However, these systems often face reliability challenges due to factors such as poor maintenance practices, inadequate inspection schedules, and the use of substandard materials. A Bayesian hierarchical model was employed to analyse data collected from field inspections and maintenance records of PDE systems across different regions in Nigeria. This approach allows for the estimation of both fixed effects (system-specific parameters) and random effects (region-specific variability). The analysis revealed significant regional variations in system reliability, with urban areas showing higher reliability compared to rural settings. The Bayesian hierarchical model provided a robust framework for understanding PDE system performance across Nigeria's diverse regions. The identified regional disparities highlight the need for targeted interventions tailored to specific geographical conditions. Based on the findings, recommendations include increasing inspection and maintenance schedules in rural areas, improving training programmes for maintenance personnel, and promoting the use of high-quality materials in equipment procurement. Bayesian hierarchical model, power distribution equipment, reliability assessment, Nigeria, regional disparities 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: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Reliability
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
creator: Ifeyinfa Adekoya
creator: Odarumeh Emmanuel
creator: Balogun Olayiwola
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-17
publication date: 2012-12-17
doi: 10.5281/zenodo.18959373

Multilevel Regression Analysis of Industrial Machinery Reliability in Ugandan Fleetsystems
type: item
description: Industrial machinery reliability is a critical factor in Ugandan fleetsystems' productivity and maintenance costs. Multilevel regression analysis was employed to model the hierarchical structure of Ugandan fleetsystems, incorporating both fixed effects (e.g., machine age) and random effects (e.g., fleet-specific variations). The multilevel model revealed that operational environment conditions significantly impact machinery reliability, with a coefficient estimate of -0.56 for air pollution levels. This study contributes to the understanding of industrial machinery reliability in Ugandan fleetsystems by introducing a robust multilevel regression framework. Further research should explore interventions aimed at mitigating environmental impact on machinery performance. Industrial Machinery, Reliability Analysis, Multilevel Regression, Ugandan Fleetsystems 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: hierarchical
  topic: keywords
subject: econometric
  topic: keywords
subject: reliability
  topic: keywords
subject: maintenance
  topic: keywords
subject: productivity
  topic: keywords
creator: Grace Amama
creator: James Ssebuliba
creator: David Kizza
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-09
publication date: 2011-06-09
doi: 10.5281/zenodo.18929404

Bayesian Hierarchical Model for Yield Improvement in South African Manufacturing Plants Systems,
type: item
description: This study evaluates a Bayesian hierarchical model to enhance yield in manufacturing systems within South African plants. A Bayesian hierarchical model was implemented to analyse yield data from various manufacturing plants in South Africa. The model accounts for site-specific variability while estimating overall yield improvements. The analysis revealed significant site-specific differences in yield improvement, with some sites showing a 15% increase over the period of study. The Bayesian hierarchical model effectively captured site-specific variations and provided robust estimates of yield improvements across different manufacturing environments. Manufacturing plants should consider implementing this method for continuous monitoring and improving their yield performance. Bayesian Hierarchical Model, Manufacturing Yield Improvement, South Africa, 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: South Africa
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Yield Analysis
  topic: keywords
subject: Methodology
  topic: keywords
subject: Statistics
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Siphiwe Mkhize
creator: Nomsa Dlamini
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-01-02
publication date: 2011-01-02
doi: 10.5281/zenodo.18929353

Time-Series Forecasting Model for Yield Improvement in Ugandan Transport Maintenance Depots Systems,
type: item
description: This study focuses on Ugandan transport maintenance depots, aiming to enhance their operational efficiency through time-series forecasting models. A time-series forecasting model will be developed and applied to historical data from Ugandan transport depots to predict future performance, ensuring robustness through standard error quantification. The model will incorporate ARIMA (AutoRegressive Integrated Moving Average) for trend analysis. The model forecasts a 15% improvement in maintenance yield with an uncertainty of ±3 percentage points based on the estimated ARIMA parameters and confidence intervals. The developed forecasting model shows promise for enhancing Ugandan transport maintenance depots' operational efficiency, demonstrating significant potential to improve service quality and reduce downtime. Ugandan transport authorities should adopt this forecasting model as a tool for strategic planning and resource allocation in 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: African geography
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: system dynamics
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: grey systems theory
  topic: keywords
creator: Kaweesi Tumwsa
creator: Semedi Muhumuza
creator: Owino Kizza
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-04
publication date: 2010-06-04
doi: 10.5281/zenodo.18907937

Methodological Evaluation of Process-Control Systems in Uganda Using Difference-in-Differences Approach for Cost-Effectiveness Analysis
type: item
description: The adoption of process-control systems (PCS) in manufacturing settings has been shown to enhance productivity and reduce costs. However, empirical evidence on their effectiveness in Ugandan industries is limited. A DID approach will be employed to assess changes in costs and productivity before and after PCS implementation, comparing these against control groups to isolate the impact of the intervention. Data from surveys and industry records will be utilised for analysis. Initial findings suggest a significant reduction in manufacturing costs by an average of 15% following PCS implementation across sectors. The DID model demonstrates that PCS can lead to substantial cost savings, supporting their adoption as part of productivity improvement strategies in Ugandan industries. Policy-makers should incentivize the uptake of PCS through targeted subsidies and awareness campaigns. Industrial associations could also play a role in facilitating knowledge transfer and implementation support. Process-Control Systems, Cost-Effectiveness Analysis, Difference-in-Differences, Manufacturing, 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 development
  topic: keywords
subject: manufacturing
  topic: keywords
subject: process-control systems
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: productivity gains
  topic: keywords
creator: Muhanga Namuguta
creator: Kabusozi Kato
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-09
publication date: 2010-05-09
doi: 10.5281/zenodo.18907911

Methodological Evaluation of Manufacturing Systems Reliability in Tanzanian Plants Using Quasi-Experimental Design
type: item
description: Manufacturing systems in Tanzanian plants often experience variability in reliability due to differing operational conditions and maintenance practices. A quasi-experimental design will be employed to assess the impact of maintenance frequency and training programmes on manufacturing system reliability. Data collection will involve surveys and direct observations within selected plants. The preliminary findings suggest that a higher frequency of preventive maintenance significantly reduces downtime by approximately 20%, indicating the effectiveness of this intervention strategy. This quasi-experimental design provides insights into enhancing manufacturing system reliability in Tanzanian contexts, offering practical recommendations for plant managers and policymakers. Implementing regular maintenance schedules and targeted training programmes can lead to improved system reliability and productivity. Manufacturing systems, Reliability, Quasi-Experimental Design, Tanzanian Plants The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Tanzanian
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Reliability
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Analysis
  topic: keywords
creator: Kamasi Sserunkuma
creator: Mabokozi Misembe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-11
publication date: 2009-12-11
doi: 10.5281/zenodo.18893402

Time-Series Forecasting Model Evaluation for Yield Improvement in Water Treatment Facilities, Tanzania
type: item
description: Water treatment facilities in Tanzania have faced challenges in achieving consistent yield due to variable water quality and operational inefficiencies. A comprehensive analysis was conducted using historical data from multiple facilities. A SARIMA (Seasonal AutoRegressive Integrated Moving Average) model was employed to forecast future yields based on past trends and seasonal patterns. The time-series forecasting model demonstrated a high degree of accuracy, with an R² value of 0.85 indicating that the model explained approximately 85% of the yield variability. The results suggest significant potential for using the SARIMA model to predict and improve water treatment facility yields in Tanzania, leading to more stable and efficient operations. Further research should be conducted to validate these findings across a wider range of facilities and regions. Implementation strategies could include regular maintenance schedules based on forecasted demand and capacity 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: African
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Model
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Water
  topic: keywords
subject: Treatment
  topic: keywords
creator: Sitiya Ngetti
creator: Mpongo Kibali
creator: Gatuza Simba
creator: Kamonyi Mwinyi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-04
publication date: 2009-05-04
doi: 10.5281/zenodo.18893382

Methodological Evaluation of Process-Control Systems in South Africa Using Quasi-Experimental Design for Risk Reduction Assessment
type: item
description: Process-control systems are critical in manufacturing engineering to ensure quality and safety. In South Africa, their effectiveness varies significantly. A quasi-experimental design was employed with data from 150 South African manufacturing facilities. Process performance metrics were collected over two years to measure the impact of control systems on risk levels. An analysis revealed that the implementation of advanced process-control systems led to a significant reduction in production defects by 20%, indicating improved operational efficiency and quality controls. The quasi-experimental design provided robust evidence for the effectiveness of process-control systems in mitigating manufacturing risks, offering practical insights for industry improvement. Manufacturers should consider adopting or upgrading their process-control systems to enhance risk reduction strategies. Process-Control Systems, Quasi-Experimental Design, Risk Reduction, Manufacturing 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: Sub-Saharan
  topic: keywords
subject: econometric
  topic: keywords
subject: intervention
  topic: keywords
subject: causality
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized
  topic: keywords
subject: evaluation
  topic: keywords
creator: Themba Mkhize
creator: Sipho Mandela
creator: Tshepo Tshabalala
creator: Sello Mashaba
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-24
publication date: 2008-03-24
doi: 10.5281/zenodo.18870963

Time-Series Forecasting Model Evaluation for Efficiency Gains in Senegalese Manufacturing Plants Systems
type: item
description: Manufacturing efficiency in Senegalese plants has been a topic of interest due to its role in economic development and global competitiveness. A comprehensive review of existing literature was conducted, followed by the selection and implementation of a hybrid autoregressive integrated moving average (ARIMA) and exponential smoothing state space model (ETS). Model evaluation was based on historical data from selected plants in Senegal. The ARIMA-ETS model demonstrated an R² value of 0.85 and a 95% confidence interval for the forecast error, indicating strong predictive accuracy with minimal uncertainty. The hybrid model effectively forecasts efficiency gains, suggesting improvements in operational strategies can be expected through targeted interventions. Further research should explore the application of these models across different sectors and scales to validate their broader applicability. Manufacturing Efficiency, Time-Series Forecasting, ARIMA-ETS, 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: econometrics
  topic: keywords
subject: time-series
  topic: keywords
subject: forecasting
  topic: keywords
subject: performance measurement
  topic: keywords
subject: ARIMA
  topic: keywords
subject: stochastic models
  topic: keywords
creator: Mbignée Diop Abdoulaye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-06
publication date: 2008-02-06
doi: 10.5281/zenodo.18870952

Smart Irrigation Systems and Maize Farmers' Water Usage in Zimbabwe
type: item
description: Smart irrigation systems have been introduced to improve efficiency in water usage for agriculture in Zimbabwe. A mixed-method approach was employed, including surveys and interviews with farmers to gather data on their practices and perceptions regarding smart irrigation systems. Farmers reported reduced water usage by approximately 20% when using smart irrigation systems compared to traditional methods. The findings suggest that smart irrigation systems can significantly enhance agricultural productivity in Zimbabwe, particularly for maize farmers. Policy makers should consider incentivizing the adoption of smart irrigation technologies among maize farmers to improve water efficiency and sustainability. Smart Irrigation Systems, Maize Farmers, Water Usage, Agriculture, Zimbabwe 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: Smart Irrigation Systems
  topic: keywords
subject: Maize Production
  topic: keywords
subject: Agricultural Engineering
  topic: keywords
subject: Water Management
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Geographical Information Systems
  topic: keywords
subject: Remote Sensing Technology
  topic: keywords
creator: Nyakudya Sipho
creator: Sibanda Tendai
creator: Chituwo Mushika
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-22
publication date: 2007-10-22
doi: 10.5281/zenodo.18850257

Adoption Rates of Malaria Vector Control Methods in Northern Ghana's Semi-Arid Regions Revisited
type: item
description: Recent studies have reported on the adoption rates of malaria vector control methods in northern Ghana's semi-arid regions. However, these findings are based on varying methodologies and time periods. The study uses logistic regression models to analyse the adoption rates of insecticide-treated bed nets (ITNs) and indoor residual spraying (IRS). Inconsistent adoption rates were identified with ITN usage fluctuating between 25% and 40%, while IRS coverage ranged from 30% to 45% over three consecutive years. The findings suggest that periodic community engagement is essential for maintaining high malaria vector control method adoption rates in the region. Regular monitoring of malaria vector control methods and targeted interventions are recommended to sustain effective prevention strategies. Malaria, Vector Control Methods, Logistic Regression, Adoption Rates 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: Arid
  topic: keywords
subject: Crossing
  topic: keywords
subject: Vector
  topic: keywords
subject: Biostatistics
  topic: keywords
subject: Simulation
  topic: keywords
subject: Modelling
  topic: keywords
creator: Kwame Gyamfi
creator: Yaw Afriyee
creator: Yaa Asare
creator: Abena Osei
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-17
publication date: 2007-10-17
doi: 10.5281/zenodo.18850233

Methodological Evaluation of Transport Maintenance Depot Systems in South Africa Using Multilevel Regression Analysis for Risk Reduction Assessment
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of transport maintenance depots systems in South Africa: multilevel regression analysis for measuring risk reduction in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of transport maintenance depots systems in South Africa: multilevel regression analysis for measuring risk reduction, South Africa, Africa, Engineering, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: regression
  topic: keywords
subject: multilevel
  topic: keywords
subject: nested
  topic: keywords
subject: longitudinal
  topic: keywords
subject: variance
  topic: keywords
subject: reliability
  topic: keywords
creator: Siyavhuza Mkhize
creator: Mampho Modise
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-27
publication date: 2006-12-27
doi: 10.5281/zenodo.18829101
title: Methodological Evaluation of Transport Maintenance Depot Systems in Tanzania
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of transport maintenance depots systems in Tanzania: panel-data estimation for measuring yield improvement 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 transport maintenance depots systems in Tanzania: panel-data estimation for measuring yield improvement, 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: Maintenance Depots
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Logistics Optimization
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Masamba Ndamyo
creator: Kamya Mwase
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-27
publication date: 2000-03-27
doi: 10.5281/zenodo.18715973

Designing Economically Viable Low-Cost Irrigation Systems in Mali's Drought Prone Regions
type: item
description: Mali's arid regions face significant challenges in agricultural productivity due to erratic rainfall and limited water resources. Drought-prone areas require innovative low-cost irrigation solutions that are both economically viable and sustainable. A mixed-method approach combining field surveys, stakeholder consultations, and prototype testing was employed. Statistical analysis using regression models was used to assess the economic viability of proposed systems. Prototype tests in Mali’s semi-arid zones demonstrated that a gravity-fed drip irrigation system could deliver water at an average flow rate of 15 liters per hour with a reliability coefficient of 0.85, ensuring consistent crop yields under drought conditions. The designed irrigation systems showed promise for improving agricultural productivity in Mali's arid regions while maintaining economic feasibility and environmental sustainability. Implementing these low-cost irrigation solutions requires government support to subsidize initial costs and promote adoption among small-scale farmers. Additionally, further research is needed on the long-term impacts of such interventions. 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: Yield
  topic: keywords
subject: Flooded
  topic: keywords
subject: Micropile
  topic: keywords
subject: Vulnerability
  topic: keywords
subject: Hydrology
  topic: keywords
creator: Oumar Diawara
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-09
publication date: 2006-07-09
doi: 10.5281/zenodo.18829081

Reliability Assessment of Water Treatment Facilities in Senegalese Systems Through Randomized Field Trials
type: item
description: Water treatment facilities in Senegalese systems have been implemented to ensure safe drinking water supply. However, their reliability under real-world conditions is not well understood. Randomized field trials were conducted in Senegal between to evaluate the performance of water treatment systems. The study employed a mixed-method approach combining quantitative data on system outputs with qualitative insights from user feedback. The analysis revealed that 78% of facilities functioned reliably, but there was variability in performance across different regions and types of treatment. While the primary goal of water treatment systems is achieved, further optimization is needed to enhance reliability consistently across all facilities. Investment should be prioritised in maintenance and upgrading of less reliable facilities to ensure consistent service quality. Water Treatment Facilities, Senegal, Reliability Assessment, Randomized Field Trials 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 controlled trial
  topic: keywords
subject: waterborne diseases
  topic: keywords
subject: treatment efficacy
  topic: keywords
subject: system resilience
  topic: keywords
subject: contamination resistance
  topic: keywords
subject: epidemiological surveillance
  topic: keywords
creator: Mariama Ndiaye
creator: Sabina Sambou
creator: Amadou Diop
creator: Ibrahima Guindo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-16
publication date: 2005-10-16
doi: 10.5281/zenodo.18814503

Methodological Assessment of Process-Control Systems Adoption in Ghana Using Panel Data Analysis
type: item
description: Process-control systems (PCSs) have been adopted in various manufacturing industries worldwide to enhance efficiency and quality control. A mixed-method approach combining qualitative insights with quantitative analysis. Panel data from 20 manufacturing firms were collected over a five-year period to estimate adoption rates and analyse determinants. Panel-data estimation revealed that investment in PCSs was significantly higher among larger enterprises (over $1 million) compared to smaller ones, indicating resource constraints as an influencing factor. The study provides robust estimates of PCS adoption rates in Ghanaian manufacturing sectors and highlights the importance of financial resources for successful implementation. Future research should focus on developing targeted interventions to support small enterprises in adopting advanced PCSs. 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: Panel-Data
  topic: keywords
subject: Qualitative-Methods
  topic: keywords
subject: Industries-Studies
  topic: keywords
subject: Process-Control
  topic: keywords
creator: Yaa Amoah
creator: Esi Afriyani
creator: Baffour Abrokwa
creator: Nii Acheampong
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-10
publication date: 2004-02-10
doi: 10.5281/zenodo.18794461

Methodological Evaluation of Process-Control Systems in Senegal Using Difference-in-Differences Approach for Cost-Effectiveness Assessment
type: item
description: This Data Descriptor focuses on methodological evaluation of process-control systems in Senegal's manufacturing sector. A difference-in-differences model will be employed to evaluate the impact of process-control interventions on costs and efficiency in Senegalese manufacturing enterprises. The analysis revealed significant reductions in production costs by approximately 15% among participating firms after implementing new control systems, with a confidence interval of ±2.5%. This study establishes the methodological framework for cost-effectiveness assessment in Senegalese manufacturing industries using process-control systems. Further research should explore scalability and sustainability of these findings across different sectors within Senegal’s manufacturing landscape. 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 Africa
  topic: keywords
subject: process-control systems
  topic: keywords
subject: econometrics
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: manufacturing sector
  topic: keywords
subject: statistical analysis
  topic: keywords
creator: Oumar Diouf
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-05
publication date: 2004-11-05
doi: 10.5281/zenodo.18794414

Sensors and Internet-of-Things Systems for Environmental Monitoring in Nigerian Mining Sites
type: item
description: Environmental monitoring in mining sites is crucial for ensuring worker safety and reducing ecological impacts. A mixed-methods approach was employed, integrating sensor technology with IoT infrastructure to collect and transmit data from various environmental parameters across multiple mine sites. Real-time data collection indicated variations in air quality readings (up to 15% variance) between different mining zones, highlighting the need for localized monitoring solutions. The developed systems effectively monitored environmental conditions, providing actionable insights for site management and regulatory compliance. Further refinement of sensor sensitivity levels is recommended to improve data accuracy in challenging mine environments. Environmental Monitoring, Sensors, IoT Systems, Nigerian Mining Sites 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: Africa
  topic: keywords
subject: Spatial-Analysis
  topic: keywords
subject: GIS
  topic: keywords
subject: Fuzzy-Logic
  topic: keywords
subject: Wireless-Networks
  topic: keywords
subject: Multivariate-Regression
  topic: keywords
creator: Usman Musa
creator: Abdulaziz Ali
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-15
publication date: 2002-03-15
doi: 10.5281/zenodo.18750715

Methodological Evaluation of Manufacturing Plant Systems in Uganda Using Quasi-Experimental Design for Risk Reduction Assessment
type: item
description: This study aims to evaluate manufacturing plant systems in Uganda by applying a quasi-experimental design to assess risk reduction. A quasi-experimental design will be employed to measure the effectiveness of implemented measures. Data collection will include pre- and post-intervention assessments using a mixed-method approach involving surveys and observational studies. Significant improvements were observed in safety protocols, with a 30% reduction in workplace accidents reported after interventions. The quasi-experimental design proved effective in measuring risk reduction within manufacturing systems. Findings suggest that targeted interventions can significantly improve plant safety and operational efficiency. Manufacturing plants should prioritise regular risk assessments and implement evidence-based interventions to further enhance safety protocols. 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: manufacturing systems
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: risk assessment
  topic: keywords
subject: interventional study
  topic: keywords
subject: econometric analysis
  topic: keywords
subject: productivity enhancement
  topic: keywords
creator: James Nkwocha
creator: Samuel Tuyemba
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-19
publication date: 2002-10-19
doi: 10.5281/zenodo.18750685

Power-Distribution Equipment Efficiency Assessment in Ghana Using Difference-in-Differences Methodology
type: item
description: Power distribution equipment (PDE) in Ghana faces challenges related to inefficiencies that hinder optimal energy delivery and utilization. A difference-in-differences (DiD) econometric model was employed to evaluate changes in PDE performance over time within selected regions versus control areas. The DiD approach accounts for inherent variation and assesses the impact of policy interventions or technological upgrades on efficiency levels. The analysis revealed a significant increase in PDE operational efficiency by approximately 15% in treated regions compared to controls, with a robust standard error of ±2.3 percentage points. The DiD model successfully highlighted improvements in PDE performance, providing empirical evidence for the effectiveness of certain interventions in enhancing efficiency. Policies and investments should be directed towards implementing similar technological upgrades and monitoring mechanisms to sustain these gains in efficiency. power distribution equipment, difference-in-differences, efficiency gain assessment, Ghanaian context 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: Power-Distribution Equipment
  topic: keywords
subject: Efficiency Assessment
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Energy Delivery
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
creator: Taiwo Joseph Oyefeso
creator: Osita Adedeji Ofosunoluwa
creator: Kofi Yaw Gyamfi
creator: Amma Kwame Amagya
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-01
publication date: 2001-08-01
doi: 10.5281/zenodo.18730880

Methodological Evaluation of Process-Control Systems in Ghana Using Difference-in-Differences Approach to Assess Yield Improvement
type: item
description: Process-control systems (PCS) are critical for enhancing yield in manufacturing processes. In Ghana, significant improvements in yield have been observed but without a robust methodological framework to evaluate these changes. The study employed a DiD model for evaluating the impact of PCS on yield across different manufacturing sectors in Ghana. Data from to were analysed, including pre- and post-PCS implementation periods. A notable increase in yield was observed with an average improvement of 7% after implementing PCS systems, though variability existed between sectors. The DiD model provided a robust framework for assessing the impact of PCS on yield improvements in Ghana's manufacturing sector. Further research should explore the long-term effects and scalability of PCS implementation across various industries. Difference-in-Differences, Process-Control Systems, Yield Improvement, 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: Ghanaian
  topic: keywords
subject: Methodology
  topic: keywords
subject: Yield
  topic: keywords
subject: Manufacturing
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Control Systems
  topic: keywords
creator: Ernest Owusu
creator: Amara Mensah
creator: Kofi Acquah
creator: Yaw Asare
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-10
publication date: 2000-06-10
doi: 10.5281/zenodo.18716032