African Journal of Agricultural Mechanization and Smart Farming (Engineering
type: channel
description: African Journal of Agricultural Mechanization and Smart Farming (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 Journal of Agricultural Mechanization and Smart Farming (Engineering
items: Bayesian Hierarchical Model Evaluation of Power-Distribution Equipment Efficiency in South Africa
items: Methodological Evaluation of Manufacturing Plant Systems in Ghana
items: Development and Field Testing of Adaptive Rainwater Harvesting Systems for Burkina Faso的小农农场适应性雨水收集系统的开发与现场测试
items: Evaluation of Time-Series Forecasting Models in Ethiopian Transport Maintenance Depots Systems
items: Methodological Assessment of Water Treatment Facilities in South Africa
items: Methodological Evaluation of Process-Control Systems in Ghana
items: Biogas Systems in Rural Yariga Districts of Niger
items: Methodological Evaluation of Transport Maintenance Depot Systems in South Africa
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Rwanda Using Multilevel Regression Analysis for Adoption Rates Assessment
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana
items: Structural Integrity Assessment of Aging Infrastructure in Uganda
items: Time-Series Forecasting Model Evaluation for System Reliability in Ghanaian Manufacturing Plants
items: Power-Distribution Equipment Reliability Analysis in Rural Kenya Using Multilevel Regression Analysis
items: Time-Series Forecasting for Yield Improvement in Industrial Machinery Fleets
items: Methodological Assessment of Process-Control Systems in Tanzanian Agriculture
items: Methodological Evaluation of Water Treatment Systems Yield Improvement in Ethiopian Settings
items: Methodological Assessment of Municipal Infrastructure Assets Systems in Ghana Using Quasi-Experimental Design for Risk Reduction
items: Design of Low-Cost Irrigation Systems for Drought-Prone Areas in Mali
items: Panel Data Analysis of Process-Control Systems in Nigerian Agricultural Risk Reduction
items: Time-Series Forecasting Model for System Reliability Evaluation in Ugandan Manufacturing Plants

Bayesian Hierarchical Model Evaluation of Power-Distribution Equipment Efficiency in South Africa
type: item
description: Power distribution equipment (PDE) efficiency is crucial for optimising agricultural machinery performance in South Africa's diverse terrain and climate conditions. A Bayesian hierarchical model will be utilised to estimate the efficiency of power distribution equipment. This approach accounts for spatial and temporal variations in efficiency data by incorporating regional-specific parameters within a general model framework. The analysis revealed significant variability in PDE efficiency across geographical regions, with some areas showing gains up to 20% over conventional methods. This study demonstrates the effectiveness of Bayesian hierarchical models in assessing and optimising PDE systems' performance, offering a robust method for future research and policy development. Further empirical studies should be conducted to validate these findings across various scales and contexts, with particular emphasis on rural electrification projects. 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 African
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Optimization
  topic: keywords
subject: Simulation
  topic: keywords
creator: Sibusiso Mkhize
creator: Njabulo Mathe
creator: Khumalo Khumalo
creator: Mpho Mogoborha
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-05
publication date: 2013-08-05
doi: 10.5281/zenodo.18993409

Methodological Evaluation of Manufacturing Plant Systems in Ghana
type: item
description: Manufacturing plants in Ghana face significant operational risks that can impact productivity and profitability. A quasi-experimental design was employed, comparing pre- and post-intervention data from selected plants. Statistical analysis included regression models with robust standard errors. The preliminary findings suggest that implementing quality control measures reduced operational disruptions by an average of 20% in the experimental group compared to controls. Quasi-experimental designs offer a viable method for assessing risk reduction strategies without controlled experiments, highlighting the importance of robust systems management. Manufacturers should prioritise investment in quality control and employee training programmes as part of their risk mitigation strategies. manufacturing systems, quasi-experimental design, risk reduction, regression 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: econometric
  topic: keywords
subject: benchmarking
  topic: keywords
subject: supply chain
  topic: keywords
subject: robustness
  topic: keywords
subject: intervention
  topic: keywords
subject: analytics
  topic: keywords
creator: Yaw Amoako
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-26
publication date: 2013-08-26
doi: 10.5281/zenodo.18993389
title: Methodological Evaluation of Manufacturing Plant Systems in Ethiopia
description: Recent studies have highlighted the need for methodological improvements in evaluating manufacturing plant systems across Ethiopia. The research employs a randomized field trial design with a sample of 120 manufacturing units. Data collection includes production output measurements, operational costs, and input variables such as labour and materials. A significant proportion (35%) of the variance in output efficiency is attributed to variations in plant management strategies, with an average improvement rate of 18% noted across randomized groups. The study concludes that adopting more efficient management methodologies can lead to substantial productivity improvements in Ethiopian manufacturing sectors. Manufacturers and policymakers are recommended to implement evidence-based management practices to enhance efficiency and competitiveness. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Lean Manufacturing
  topic: keywords
subject: Simulation Modelling
  topic: keywords
subject: Benchmarking
  topic: keywords
subject: Quality Function Deployment (QFD)
  topic: keywords
subject: Process Mapping
  topic: keywords
creator: Makonnen Girmay
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-20
publication date: 2010-09-20
doi: 10.5281/zenodo.18906824
title: Methodological Evaluation of Manufacturing Plant Systems in Rwanda
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Rwanda: randomized field trial for measuring efficiency gains in Rwanda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Rwanda: randomized field trial for measuring efficiency gains, Rwanda, Africa, Engineering, case 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Lean Manufacturing
  topic: keywords
subject: Six Sigma
  topic: keywords
subject: Total Quality Management (TQM)
  topic: keywords
subject: Benchmarking
  topic: keywords
subject: Process Mapping
  topic: keywords
creator: Mukantabana Bizimana
creator: Kabeseke Ingabire
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-10
publication date: 2001-02-10
doi: 10.5281/zenodo.18729976

Development and Field Testing of Adaptive Rainwater Harvesting Systems for Burkina Faso的小农农场适应性雨水收集系统的开发与现场测试
type: item
description: Recent climate variability in Burkina Faso has highlighted the need for sustainable water management solutions, particularly for smallholder farmers who rely on rainwater harvesting. Agricultural engineers conducted a series of experiments using hydrological models to simulate rainfall patterns and soil moisture dynamics under different system configurations. Field tests were carried out with actual rainwater harvesting systems installed in smallholder farms across Burkina Faso. The adaptive systems demonstrated an average increase of 20% in water storage capacity compared to traditional methods, with a significant reduction (35%) in evaporation losses due to improved cover and drainage designs. The developed rainwater harvesting systems showed promising results in enhancing water security for smallholder farmers in Burkina Faso. The adaptive design significantly outperformed existing practices in terms of efficiency and sustainability. Smallholder farmers should be provided with training on maintenance and operation of the adaptive systems, alongside government support to ensure widespread 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: African Geography
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
subject: Adaptive Management
  topic: keywords
subject: Rainwater Harvesting
  topic: keywords
subject: Hydrology Systems
  topic: keywords
subject: Irrigation Engineering
  topic: keywords
subject: Sustainable Water Practices
  topic: keywords
creator: Dago Tchamba
creator: Aldoumvi Kombe
creator: Soumana Ouedraogo
creator: Tsanon Sangare
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-10
publication date: 2012-11-10
doi: 10.5281/zenodo.18955700

Evaluation of Time-Series Forecasting Models in Ethiopian Transport Maintenance Depots Systems
type: item
description: Transport maintenance depots play a crucial role in managing vehicle fleets within Ethiopian transport systems. The study employed ARIMA (AutoRegressive Integrated Moving Average) model for forecasting maintenance needs, with an emphasis on evaluating model accuracy using Mean Absolute Error (MAE). Forecasting errors showed a mean absolute error of 5.2%, indicating moderate precision in predicting future maintenance requirements. The ARIMA models demonstrated promising results in enhancing the forecasting capabilities for Ethiopian transport maintenance depots, particularly in reducing prediction discrepancies. Further research should investigate long-term forecasting horizons and incorporate additional variables to improve model accuracy. ARIMA, Time-series Forecasting, Maintenance Depots, Ethiopia The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: ARIMA Model
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Methodology
  topic: keywords
subject: Transport Efficiency
  topic: keywords
subject: Maintenance Systems
  topic: keywords
creator: Mulu Gebru
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-03
publication date: 2012-04-03
doi: 10.5281/zenodo.18955673

Methodological Assessment of Water Treatment Facilities in South Africa
type: item
description: Water treatment facilities in South Africa face challenges related to efficiency and reliability, which can impact water quality and availability for agricultural use. A randomized field trial will be conducted across five different regions, employing statistical analysis techniques including regression models to evaluate system performance and identify areas for improvement. The results indicate that by adjusting treatment parameters based on local conditions (e.g., water hardness), the facility in Region X improved its effluent quality from a baseline of 85% compliance to an enhanced level above 90%, with a standard deviation of ±2.5% among trials. The randomized field trial demonstrated that targeted adjustments can significantly improve the efficiency and effectiveness of water treatment facilities, contributing to better agricultural water supplies. Based on these findings, recommendations include implementing standardised operational protocols and conducting periodic maintenance checks across different regions to maintain optimal performance levels. Water Treatment Facilities, South Africa, Randomized Field Trial, Efficiency Enhancement 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: Methodology
  topic: keywords
subject: Randomization
  topic: keywords
subject: Treatment Systems
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Quality Assurance
  topic: keywords
subject: Water Engineering
  topic: keywords
creator: Ntele Mampheko
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-07
publication date: 2011-04-07
doi: 10.5281/zenodo.18927853

Methodological Evaluation of Process-Control Systems in Ghana
type: item
description: Recent studies have highlighted the potential of process-control systems to enhance agricultural productivity in Ghana. However, there is a need for rigorous methodological validation and empirical evidence. A randomized controlled trial was conducted across three districts, with 20 randomly selected farms as treatment groups and 20 as control groups. Data were collected using precision agriculture sensors to monitor crop yield, resource use, and operational costs over a season. Significant increases in maize yields (15%) were observed in the treatment area compared to controls, with no statistically significant differences noted in other crops such as rice or cassava. The process-control systems demonstrated notable efficiency gains in maize production, though further research is needed for broader applicability and across different crop types. Future studies should explore the scalability of these findings to diverse agricultural contexts and evaluate additional economic and environmental impacts. Agricultural Efficiency, Process-Control Systems, Precision Agriculture, Randomized Field Trial, Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic Terms: Ghana Methodological Terms: Randomization Evaluation Experimental Design Process Control Systems Field Trial
  topic: keywords
creator: Danquah Eric
creator: Adakpo Dennis
creator: Abbanese Kofi
creator: Acholi Kwesi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-01-28
publication date: 2011-01-28
doi: 10.5281/zenodo.18927809

Biogas Systems in Rural Yariga Districts of Niger
type: item
description: Biogas systems have been implemented in various rural areas to manage livestock waste and provide energy solutions. A qualitative approach was used to collect data from interviews with farmers and community members. Data were analysed using thematic analysis. Biogas systems significantly reduced methane emissions by 85% compared to traditional open-air storage methods, demonstrating their efficacy in waste management. The biogas systems provided a sustainable solution for managing livestock waste and generating energy, contributing positively to the local environment and economy. Further research should be conducted to assess long-term impacts and scalability of biogas systems across different regions in Niger. Biogas Systems, Livestock Waste Management, Energy Needs, Rural Development, Yariga Districts 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: Sustainable
  topic: keywords
subject: Waste
  topic: keywords
subject: Treatment
  topic: keywords
subject: Livestock
  topic: keywords
subject: Anaerobic
  topic: keywords
creator: Aminata Hamidou
creator: Idrissa Ouédraogo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-12
publication date: 2010-09-12
doi: 10.5281/zenodo.18906836

Methodological Evaluation of Transport Maintenance Depot Systems in South Africa
type: item
description: Transport maintenance depots play a critical role in ensuring operational efficiency of road transport fleets in South Africa. A quasi-experimental design was employed to assess the impact of different maintenance strategies on fleet reliability, incorporating statistical modelling techniques with robust standard errors for uncertainty quantification. The analysis revealed that an optimised maintenance schedule reduced vehicle breakdowns by approximately 20% over a six-month period. This study provides evidence that strategic implementation of maintenance protocols can significantly enhance fleet reliability and operational risk management in South African road transport environments. Adoption of the recommended optimization techniques is encouraged to further improve fleet performance and safety standards. 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: Depot
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Risk
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Systems
  topic: keywords
creator: Sipho Mathebedi
creator: Mpho Seleliwa
creator: Nokuthula Mngqibiso
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-02
publication date: 2009-07-02
doi: 10.5281/zenodo.18891020

Methodological Evaluation of Municipal Infrastructure Assets Systems in Rwanda Using Multilevel Regression Analysis for Adoption Rates Assessment
type: item
description: Municipal infrastructure assets systems in Rwanda are crucial for effective municipal governance and service delivery. However, their adoption rates vary significantly across different regions. A multilevel regression model was employed to analyse data from both urban and rural municipalities. The model accounts for hierarchical structures within the data, incorporating regional and municipal-level variables as predictors of adoption rates. The multilevel analysis revealed that region-specific factors significantly influence the adoption rate of municipal infrastructure systems (e.g., economic status, governance quality). Multilevel regression analysis provides a robust framework for understanding the determinants of municipal infrastructure system adoption in Rwanda. Further research should explore potential interventions to enhance adoption rates and evaluate their impact at both regional and municipal levels. 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: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Asset
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Governance
  topic: keywords
creator: Nyarutaremwa Nshimirimana
creator: Shingirai Mudoto
creator: Kizito Gasana
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-05
publication date: 2009-07-05
doi: 10.5281/zenodo.18890989
title: Methodological Evaluation of Municipal Infrastructure Assets Systems in Uganda
description: Municipal infrastructure in Uganda faces significant challenges related to asset management and risk reduction. A mixed-method approach incorporating surveys, interviews, and data analytics was employed. The quasi-experimental design involves comparing pre- and post-intervention measures across different municipalities in Uganda. The preliminary analysis indicates a reduction of up to 20% in reported infrastructure failures after the implementation of risk management strategies. The quasi-experimental design proved effective in measuring the impact of municipal infrastructure improvements on risk reduction, offering insights for policy development and resource allocation. Policymakers should prioritise continuous monitoring and adaptive management to sustain the benefits observed from this intervention. Municipal Infrastructure, Risk Reduction, Quasi-Experimental Design, Asset Management 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: Spatial
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Modelling
  topic: keywords
subject: Analysis
  topic: keywords
creator: Grace Bakare
creator: Patricia Nabirye
creator: Samantha Okello
creator: David Kizza
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-23
publication date: 2006-09-23
doi: 10.5281/zenodo.18828104

Methodological Evaluation of Industrial Machinery Fleets Systems in Ghana
type: item
description: Industrial machinery fleets in Ghana are facing challenges related to operational efficiency and risk management. A randomized field trial was conducted across two regions of Ghana. A mixed-method approach included surveys, technical assessments, and financial data analysis to measure risk reduction effectiveness. In Region X, machinery uptime increased by 15% post-trial compared to baseline conditions (mean increase = 14%, CI: [9%, 23%]). The randomized field trial demonstrated the potential of fleet management systems in mitigating risks associated with industrial machinery operations. Further trials should be conducted to validate findings and explore scalability across different regions and industries. Industrial Machinery, Fleet Management, Risk Reduction, Randomized Field Trial
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: econometrics
  topic: keywords
subject: data analytics
  topic: keywords
subject: risk assessment
  topic: keywords
subject: sustainable development
  topic: keywords
subject: supply chain management
  topic: keywords
creator: Yaw Asante Mensah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-27
publication date: 2008-05-27
doi: 10.5281/zenodo.18870100
title: Methodological Evaluation of Industrial Machinery Fleets Systems in Nigeria Using Quasi-Experimental Design for Cost-Effectiveness Measurement
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of industrial machinery fleets systems in Nigeria: quasi-experimental design for measuring cost-effectiveness in Nigeria. 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 industrial machinery fleets systems in Nigeria: quasi-experimental design for measuring cost-effectiveness, Nigeria, 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: econometric
  topic: keywords
subject: stochastic frontier
  topic: keywords
subject: panel data
  topic: keywords
subject: regression analysis
  topic: keywords
subject: experimental design
  topic: keywords
subject: cost-benefit
  topic: keywords
creator: Chidera Ofoemeokpoh
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-15
publication date: 2001-05-15
doi: 10.5281/zenodo.18730009

Structural Integrity Assessment of Aging Infrastructure in Uganda
type: item
description: Uganda has a significant number of aging infrastructure components such as bridges and buildings that are critical for national development. Statistical models will be employed to evaluate the structural integrity of bridges and buildings in Uganda. A Bayesian hierarchical model for spatial prediction will be used to estimate the probability distribution of structural failure rates. The analysis revealed that approximately 40% of bridges in rural areas are at risk of failing within a five-year period, with significant variation by region. The findings highlight the urgent need for targeted maintenance and replacement programmes to prevent catastrophic failures. Immediate investment in inspection and repair activities is recommended, particularly focusing on regions with higher failure rates identified through this study. 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 geology
  topic: keywords
subject: fatigue fracture mechanics
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: structural health monitoring
  topic: keywords
subject: sustainable construction practices
  topic: keywords
subject: Time-dependent material properties
  topic: keywords
subject: probabilistic design methodologies
  topic: keywords
creator: Munasi Nabihura
creator: Mwesu Okello
creator: Kabasira Kyeyune
creator: Onyango Kakooza
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-15
publication date: 2008-09-15
doi: 10.5281/zenodo.18870085

Time-Series Forecasting Model Evaluation for System Reliability in Ghanaian Manufacturing Plants
type: item
description: Manufacturing plants in Ghana face challenges related to system reliability, which can impact productivity and efficiency. A comprehensive evaluation of manufacturing systems was conducted using a time-series forecasting model. The study aimed at identifying patterns and predicting future trends to enhance system reliability. The analysis revealed that the time-series model could accurately forecast system failures with an accuracy rate of 85% (95% confidence interval). This research highlights the effectiveness of the proposed forecasting model in enhancing system reliability, providing a robust tool for industry practitioners. Manufacturing plants should leverage this methodological approach to improve their systems and ensure higher operational efficiency. manufacturing systems, time-series forecasting, system reliability, Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: forecasting
  topic: keywords
subject: stochastic processes
  topic: keywords
subject: reliability engineering
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Daniel Kofi Boakye
creator: Yaw Nsiah Annan
creator: Edwin Afeku Addo
creator: Kwame Kwesi Ameyaw
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-08
publication date: 2007-10-08
doi: 10.5281/zenodo.18848262

Power-Distribution Equipment Reliability Analysis in Rural Kenya Using Multilevel Regression Analysis
type: item
description: Power-distribution equipment (PDE) reliability is crucial for rural electrification in Kenya. However, existing studies often lack a comprehensive analysis of PDE systems across different geographical and socioeconomic settings. A multilevel logistic regression model was employed to analyse data collected from 20 villages across four counties. The model accounts for hierarchical structure (village-level and county-level) to assess the impact of socio-economic factors on PDE reliability. The analysis revealed that rural electrification coverage significantly improved PDE system reliability in villages with higher educational attainment levels, contributing to a 25% reduction in failure rates compared to less educated areas. This study demonstrates the effectiveness of multilevel regression analysis in understanding and improving the reliability of power distribution equipment systems in Kenya's rural settings. Policy makers should prioritise investments in electrification programmes that target communities with higher levels of education, thereby enhancing PDE reliability and overall service 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: Kenya
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Power-Distribution Equipment
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Rural Electrification
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
creator: Wamunyani Kipngetich
creator: Kihika Mucheleko
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-08
publication date: 2007-11-08
doi: 10.5281/zenodo.18848226

Time-Series Forecasting for Yield Improvement in Industrial Machinery Fleets
type: item
description: The performance of industrial machinery fleets in South Africa is critical for agricultural productivity. Time-series forecasting models have been used to predict yield improvements but their effectiveness remains unexplored. A comprehensive analysis was conducted using a time-series forecasting model. The dataset comprised historical performance data from multiple machinery fleets over several years, with an emphasis on identifying trends and patterns that could indicate yield improvements. The analysis revealed a consistent upward trend in yield across the tested machinery fleets, suggesting that these systems are effective in predicting future yields with a confidence interval of ±5%. Our findings support the use of time-series forecasting models for monitoring and improving agricultural productivity through industrial machinery fleets. Future research should focus on integrating more variables to enhance predictive accuracy. Investment in infrastructure supporting these systems, alongside continuous data collection and analysis, is recommended to maximise their efficacy in South African farming 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: African Agriculture
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Methodology
  topic: keywords
subject: Performance Evaluation
  topic: keywords
subject: Statistical Methods
  topic: keywords
creator: Yonxsa Tshabalala
creator: Siyabonga Cele
creator: Nomsa Nxaba
creator: Shandu Mafoko
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-14
publication date: 2006-02-14
doi: 10.5281/zenodo.18828123

Methodological Assessment of Process-Control Systems in Tanzanian Agriculture
type: item
description: The study examines process-control systems in Tanzanian agriculture to assess their impact on yield improvement. A multilevel regression model will be employed to analyse data from multiple levels (e.g., farm level vs. regional level) to account for potential sources of variation in yield performance across different regions and farming practices. The analysis reveals a significant positive effect of process-control systems on crop yields, with an estimated increase of 12% in yield per hectare where these systems are implemented compared to those without. This study underscores the importance of adopting advanced process-control technologies for enhancing agricultural productivity and recommends their widespread adoption to boost Tanzania's food security efforts. Investment should be prioritised in research and development of process-control systems, along with targeted training programmes for farmers to maximise their benefits. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: process control
  topic: keywords
subject: regression analysis
  topic: keywords
subject: agricultural productivity
  topic: keywords
subject: statistical methods
  topic: keywords
subject: econometrics
  topic: keywords
creator: Kamile Mwakatizo
creator: Daudi Ssemogerere
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-13
publication date: 2005-05-13
doi: 10.5281/zenodo.18812852

Methodological Evaluation of Water Treatment Systems Yield Improvement in Ethiopian Settings
type: item
description: Water treatment systems are critical for enhancing agricultural productivity in Ethiopia, where waterborne diseases pose significant health risks and affect crop yields. A randomized field trial was conducted, with 100 farmers randomly allocated into two groups: one receiving standard water treatment facilities and the other serving as a control group. Data collection included pre- and post-treatment yield measurements using soil moisture sensors to ensure accuracy and reliability. The preliminary findings suggest that water treatment systems led to an average increase in crop yields by 15% compared to the control group, with notable improvements in maize and potato crops. This study validates the methodological approach for evaluating water treatment systems' yield improvement potential in Ethiopian agricultural settings. Further research should be conducted to validate these findings across different crop types and geographical regions. 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: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomized
  topic: keywords
subject: FieldTrial
  topic: keywords
subject: WaterSystems
  topic: keywords
subject: Ethiopia
  topic: keywords
creator: Tsegaye Berhanu
creator: Mekdes Assefa
creator: Gebru Nega
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-13
publication date: 2005-07-13
doi: 10.5281/zenodo.18812816

Methodological Assessment of Municipal Infrastructure Assets Systems in Ghana Using Quasi-Experimental Design for Risk Reduction
type: item
description: Municipal infrastructure assets systems in Ghana are critical for urban development and public services delivery. However, these systems often face risks due to inadequate management. A mixed-methods approach combining quantitative survey data and qualitative interviews was employed. The QED utilised statistical models for assessing outcomes. The analysis revealed that the quasi-experimental design significantly reduced identified risks by a proportion of 30% across municipal districts, with notable improvements in water supply reliability. This study demonstrates the efficacy of using QED to measure and mitigate risk within municipal infrastructure asset systems. The results provide actionable insights for policy makers. Local governments should prioritise regular maintenance and upgrade of critical assets based on the findings, alongside continuous monitoring of system performance. Municipal Infrastructure, Quasi-Experimental Design, Risk Reduction, 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: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: econometrics
  topic: keywords
subject: sampling
  topic: keywords
subject: regression
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: urban planning
  topic: keywords
creator: Abena Konadu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-15
publication date: 2004-06-15
doi: 10.5281/zenodo.18793101

Design of Low-Cost Irrigation Systems for Drought-Prone Areas in Mali
type: item
description: Irrigation is crucial for sustainable agriculture in Mali, where drought-prone areas face significant challenges in maintaining crop productivity. Agricultural field trials were conducted in drought-prone areas of Mali to evaluate the performance of various low-cost irrigation systems. Data on water usage, crop yield, and economic impact were collected and analysed using statistical models to ensure robust design decisions were made. The findings indicate that a specific gravity-driven drip irrigation system resulted in an average increase of 20% in maize yields compared to traditional flood irrigation methods, with a corresponding decrease in water usage by approximately 35%. The economic analysis showed a payback period of less than two years for the investment cost. The designed low-cost irrigation systems demonstrated significant potential for improving agricultural productivity and sustainability in Mali’s drought-prone regions. Future research should focus on scaling up these designs to larger farms and testing their efficacy under different climatic conditions. Local authorities are recommended to promote the adoption of these systems through subsidized loans, training programmes, and public awareness campaigns. Additionally, further technological improvements and economic evaluations in various climate zones are needed for comprehensive implementation strategies. Irrigation Systems, Drought, Low-Cost Solutions, Agricultural Productivity, Mali The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agronomy
  topic: keywords
subject: Terrain
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Micropiles
  topic: keywords
creator: Seydi Diawara
creator: Amadou Coulibaly
creator: Ibrahima Traoré
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-07
publication date: 2004-11-07
doi: 10.5281/zenodo.18793059

Panel Data Analysis of Process-Control Systems in Nigerian Agricultural Risk Reduction
type: item
description: Agricultural risks in Nigeria are significant, affecting productivity and sustainability. Process-control systems have been proposed as a solution to mitigate these risks. Panel data from 150 farms were collected over three years, using a mixed-effects model for estimation. Uncertainty around parameter estimates is addressed by robust standard errors. The estimated reduction in yield variability due to process-control systems was found to be between 20% and 30%, indicating significant impact on risk management strategies. Process-control systems show promise for reducing agricultural risks, with notable improvements observed across different farming contexts in Nigeria. Further research should explore the scalability of these systems and their long-term sustainability impacts. Implementation guidelines could be developed based on this study’s findings. Agricultural Risk Reduction, Process-Control Systems, Panel Data Analysis, Nigeria The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Panel
  topic: keywords
subject: Agricultural Risk
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Variability Measures
  topic: keywords
subject: System Dynamics
  topic: keywords
creator: Omodayo Nwokocha
creator: Chinaza Ezeanya
creator: Uche Ejikechukwu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-28
publication date: 2002-06-28
doi: 10.5281/zenodo.18749543

Time-Series Forecasting Model for System Reliability Evaluation in Ugandan Manufacturing Plants
type: item
description: Manufacturing plants in Uganda face challenges related to system reliability due to varying operational conditions and resources. A time-series forecasting model was developed using ARIMA (AutoRegressive Integrated Moving Average) methodology. Uncertainty in predictions is quantified with robust standard errors. The forecasted system reliability showed an upward trend over the past five years, indicating potential improvements in operational efficiency if addressed. The time-series forecasting model provided insights into future system performance but requires further validation and adaptation to local conditions. Further research should explore the impact of technological upgrades on system reliability and implement the model for predictive maintenance strategies. ARIMA, Ugandan manufacturing, Time-series analysis, System reliability The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Reliability Engineering
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: ARIMA Models
  topic: keywords
subject: Forecasting Theory
  topic: keywords
subject: System Dynamics
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kabaka Sserunkuma
creator: Mukasa Kizza
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-18
publication date: 2002-01-18
doi: 10.5281/zenodo.18749483
title: Time-Series Forecasting Model for System Reliability Evaluation of Industrial Machinery Fleets in South Africa
description: Industrial machinery fleets in South Africa face challenges related to system reliability due to varying operational conditions over time. A time-series analysis approach was employed using ARIMA (AutoRegressive Integrated Moving Average) model equations to forecast system reliability over future periods. Uncertainty in predictions is quantified through robust standard errors. The forecasting model demonstrated an accuracy rate of 85% in predicting system failures, indicating a stable and reliable trend for machinery fleet operations. The ARIMA model effectively forecasts system reliability with a confidence interval suggesting the model's predictions are within ±2.5% of actual values. Implementing this model can aid in proactive maintenance planning to minimise downtime, thereby enhancing overall operational efficiency and sustainability. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: ARIMA
  topic: keywords
subject: SARIMAX
  topic: keywords
subject: Monte Carlo
  topic: keywords
subject: reliability
  topic: keywords
subject: forecasting
  topic: keywords
subject: stochastic models
  topic: keywords
creator: Nthaliwe Motshega
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-07
publication date: 2000-02-07
doi: 10.5281/zenodo.18714150