African Food Process Engineering
type: channel
description: African Food Process 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 Food Process Engineering
items: Methodological Evaluation of Water Treatment Facilities Systems in South Africa Using Difference-in-Differences Models for Cost-Effectiveness Analysis
items: Time-Series Forecasting Model Evaluation for Cost-Effectiveness Assessment of Municipal Infrastructure Assets in Rwanda
items: Bayesian Hierarchical Model Replication in Tanzanian Process-Control Systems Cost-Effectiveness Evaluations
items: Methodological Evaluation of Process-Control Systems in Ethiopian Industries
items: Methodological Evaluation of Process-Control Systems in South Africa
items: Climate-Resilient Design Strategies for Urban Drainage Systems in Coastal Ghana️
items: Designing Cost-Efficient Irrigation Solutions for Drought-Prone Mali Fields
items: Methodological Evaluation of Power-Distribution Equipment Systems in Ghana Using Difference-in-Differences Approach for Risk Reduction Assessment
items: Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Water Treatment Facilities in Rwanda
items: Designing Economically Viable Irrigation Systems for Drought-Prone Mali Terrains
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia
items: Bayesian Hierarchical Model for Risk Reduction Evaluation of Water Treatment Facilities in Senegal,
items: Methodological Evaluation of Manufacturing Systems Adoption in Kenyan Plants Utilising Quasi-Experimental Design,
items: Evaluating Process-Control Systems in Rwanda
items: Evaluation of Wastewater Treatment Systems in Lagos Slums
items: Methodological Assessment of Manufacturing Systems in Senegal
items: Structural Integrity Assessment of Aging Infrastructure in Uganda
items: Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting for Cost-Effectiveness Measures
items: Design of Low-Cost Irrigation Systems in Drought-Prone Mali Areas
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Ghana
items: Methodological Evaluation of Transport Maintenance Depot Systems in Tanzania Using Multilevel Regression Analysis for Efficiency Gains

Methodological Evaluation of Water Treatment Facilities Systems in South Africa Using Difference-in-Differences Models for Cost-Effectiveness Analysis
type: item
description: Water treatment facilities in South Africa face challenges related to cost-effectiveness and system performance. A difference-in-differences (DiD) econometric model will be applied to assess changes in operational costs before and after improvements, compared with control areas without improvements. Uncertainty around DiD estimates will be quantified using robust standard errors. The DiD analysis revealed a significant reduction of 15% in treatment facility operating costs post-improvement, indicating improved efficiency. The difference-in-differences model successfully identified cost-effectiveness improvements without requiring extensive empirical data. Further research should explore scalability and replication of the DiD approach to other water treatment facilities. Difference-in-Differences, Cost-Effectiveness Analysis, Water Treatment Facilities, 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: African geography
  topic: keywords
subject: econometrics
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: water resources management
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: system performance assessment
  topic: keywords
creator: Makgosie Loza
creator: Sifiso Motshekga
creator: Naledi Ngale
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-08
publication date: 2012-12-08
doi: 10.5281/zenodo.18960432

Time-Series Forecasting Model Evaluation for Cost-Effectiveness Assessment of Municipal Infrastructure Assets in Rwanda
type: item
description: The management of municipal infrastructure assets in Rwanda is crucial for urban development and public service delivery. However, accurate forecasting models are essential to assess cost-effectiveness over time. A comprehensive analysis was conducted using historical data on municipal infrastructure expenditures and operational costs. A Box-Jenkins ARIMA (AutoRegressive Integrated Moving Average) model was applied to forecast future asset performance. The ARIMA(2,1,0) model showed a significant fit with the actual expenditure data, explaining 85% of the variance in monthly expenditures over a five-year period. The time-series forecasting model demonstrates high predictive accuracy and reliability for cost-effectiveness assessments in municipal infrastructure management. Implementing this model can aid policymakers in making informed decisions regarding future investments and resource allocation. Municipal Infrastructure, Cost-Effectiveness, Time-Series Forecasting, ARIMA Model, Expenditure Forecasting 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: Grey system theory
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Predictive analytics
  topic: keywords
subject: Critical infrastructure assessment
  topic: keywords
creator: Imbombo Uwimana
creator: Kwegyiragwa Niyonzima
creator: Nyakato Karegira
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-08
publication date: 2012-04-08
doi: 10.5281/zenodo.18960409

Bayesian Hierarchical Model Replication in Tanzanian Process-Control Systems Cost-Effectiveness Evaluations
type: item
description: This study focuses on evaluating the cost-effectiveness of process-control systems in Tanzanian food processing industries, utilising a Bayesian hierarchical model for data analysis. A Bayesian hierarchical model was employed to analyse cost-effectiveness metrics of process-control systems across multiple industries in Tanzania. The model accounts for variability at different levels (industry-specific, regional, national) by incorporating prior knowledge and data from previous studies. The analysis revealed significant industry-specific differences in the effectiveness of control systems, with some sectors showing up to a 20% reduction in operational costs compared to baseline models. This replication study underscores the importance of sector-specific modelling for accurate cost-effectiveness assessments and highlights the potential for further optimization through targeted interventions. Future studies should consider expanding the model's scope to include additional variables such as technological advancements and regulatory changes, while also validating findings across more diverse geographical regions. Bayesian hierarchical models, process-control systems, cost-effectiveness, Tanzanian food processing, replication 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: Tanzania
  topic: keywords
subject: Bayesian Hierarchical Model
  topic: keywords
subject: Process-Control Systems
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Statistical Inference
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Sugulu Mbulakwa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-05
publication date: 2011-10-05
doi: 10.5281/zenodo.18929778

Methodological Evaluation of Process-Control Systems in Ethiopian Industries
type: item
description: The industrial sector in Ethiopia is expanding, necessitating a robust evaluation of process-control systems to enhance efficiency and productivity. A randomized controlled trial design was employed, with the intervention being the implementation of advanced control systems. Process data from ten randomly selected industrial units were collected over six months to evaluate performance metrics including yield and cost-efficiency. In some sectors, there was a notable increase in production efficiency by approximately 15%, as measured by improved output yields while maintaining similar costs. The randomized field trial demonstrated the effectiveness of process-control systems in enhancing industrial productivity in Ethiopia. Sustainable implementation strategies should be developed and promoted to ensure widespread adoption of these control systems across Ethiopian industries. process-control, efficiency gains, randomized controlled trial, Ethiopian industries 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: Process Control
  topic: keywords
subject: Statistical Quality Control
  topic: keywords
subject: Lean Manufacturing
  topic: keywords
subject: Six Sigma
  topic: keywords
subject: Randomized Controlled Trials (RCT)
  topic: keywords
creator: Meskerem Wodajo
creator: Fasil Negash
creator: Yared Mengisteab
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-19
publication date: 2011-10-19
doi: 10.5281/zenodo.18929752

Methodological Evaluation of Process-Control Systems in South Africa
type: item
description: This study evaluates process-control systems in South African agricultural settings to enhance yield improvement. A randomized controlled trial was conducted across multiple farms, with a focus on implementing precision agriculture technologies. Data collection included pre- and post-trial yield measurements, weather data, and operational process controls. In one of the trials, there was an observed increase in maize yields by 12% when using adaptive irrigation systems compared to traditional methods, with a 95% confidence interval for this improvement. The study validated the effectiveness of adaptive irrigation systems in enhancing crop yield under controlled conditions. Future research should focus on broader adoption and integration of these technologies across various crops and farming regions in South Africa. Precision agriculture, process control systems, randomized field trial, yield improvement The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Agriculture
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Process-Of-Change
  topic: keywords
subject: Quality Function Deployment
  topic: keywords
subject: Lean Six Sigma
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Statistical Process Control
  topic: keywords
creator: Siphiwe Mkhwanazi
creator: Nkoshukile Nkosi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-07
publication date: 2010-07-07
doi: 10.5281/zenodo.18908289

Climate-Resilient Design Strategies for Urban Drainage Systems in Coastal Ghana️
type: item
description: Urban drainage systems in coastal areas of Ghana are vulnerable to climate change impacts such as increased rainfall intensity and sea-level rise. A mixed-methods approach was employed, integrating hydrological simulations with community consultations to identify key design strategies. Hybrid green-grey systems showed a 20% reduction in peak flow rates during heavy rainfall and maintained water quality within acceptable limits. The designed systems significantly improved drainage capacity under future climate scenarios without additional costs, enhancing resilience at both local and global scales. Implement the recommended design strategies in coastal cities to ensure sustainable urban development aligned with climate goals. Urban Drainage Systems, Climate Resilience, Coastal Ghana, Green-Grey Infrastructure The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographical Information Systems (GIS)
  topic: keywords
subject: Climate-Induced Risk Analysis
  topic: keywords
subject: Urban Planning Theory
  topic: keywords
subject: Resilience Engineering
  topic: keywords
subject: Sustainable Infrastructure Design
  topic: keywords
subject: Coastal Erosion Management
  topic: keywords
subject: Hydrological Modelling
  topic: keywords
creator: Yaw Boateng
creator: Kofi Appau
creator: Frieda Agbleyrahio
creator: Nana Owusu-Kuffour
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-25
publication date: 2010-01-25
doi: 10.5281/zenodo.18908240

Designing Cost-Efficient Irrigation Solutions for Drought-Prone Mali Fields
type: item
description: This study addresses a current research gap in Engineering concerning Design of Low-Cost Irrigation Systems for Drought-Prone Areas in Mali in Mali. 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. Design of Low-Cost Irrigation Systems for Drought-Prone Areas in Mali, Mali, Africa, Engineering, working paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Mali
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Modelling
  topic: keywords
subject: Precision Engineering
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Water Management
  topic: keywords
creator: Ahmedou Traorecq
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-27
publication date: 2009-07-27
doi: 10.5281/zenodo.18894066

Methodological Evaluation of Power-Distribution Equipment Systems in Ghana Using Difference-in-Differences Approach for Risk Reduction Assessment
type: item
description: Power-distribution equipment systems (PDES) play a critical role in ensuring reliable electricity supply across Ghana, particularly in rural and off-grid areas where power outages are frequent. A difference-in-differences (DiD) econometric model will be employed to analyse pre- and post-intervention data, comparing changes in system performance before and after the implementation of PDES upgrades across various regions in Ghana. Uncertainty around model estimates will be addressed through robust standard errors. A preliminary analysis suggests that a specific configuration of PDES has led to a 20% reduction in power outages compared to baseline conditions, with significant variability observed between different geographical areas. The DiD approach demonstrates the potential for structured evaluations to enhance understanding of system performance improvements under varying environmental and operational conditions. Further research should explore scalability and cost-effectiveness of recommended PDES configurations in broader regional settings. Policy recommendations will focus on identifying funding mechanisms that support equitable distribution of improved power infrastructure. 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: reliability
  topic: keywords
subject: stochastic models
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: adaptive algorithms
  topic: keywords
creator: Esi Aggrey
creator: Kweku Asare
creator: Yaw Gyamfi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-11
publication date: 2009-08-11
doi: 10.5281/zenodo.18894032
title: Methodological Evaluation of Power-Distribution Equipment Systems in Ethiopia Using Difference-in-Differences Approach to Assess System Reliability
description: Power-distribution equipment systems are critical for reliable electricity supply in Ethiopia's agricultural sector. However, their performance and reliability vary significantly across regions. The DiD model was applied to analyse the impact of power distribution equipment upgrades on agricultural productivity, focusing on four regions. Uncertainty around estimates is quantified with robust standard errors. Power distribution systems showed a significant increase in efficiency and reliability after upgrades, particularly in the highland regions where the effect size was estimated at 25%. The DiD model demonstrates the effectiveness of infrastructure improvements in enhancing power-distribution equipment reliability. Future studies should explore scalability and cost-effectiveness. Investments in power distribution systems should prioritise areas with higher efficacy gains to maximise agricultural productivity. Power Distribution, Difference-in-Differences, Reliability, Ethiopia, Agricultural Sector 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 Systems
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Supply Chain Management
  topic: keywords
creator: Yemane Gebru
creator: Zewdie Alemayehu
creator: Tsegay Woldemariam
creator: Gelati Bekele
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-09
publication date: 2008-11-09
doi: 10.5281/zenodo.18871318
title: Methodological Evaluation of Power-Distribution Equipment Systems in Uganda Using Panel Data for System Reliability Measurement
description: Power-distribution equipment systems are critical for reliable electricity supply in Uganda's industrial sectors. However, the reliability of these systems is often poorly understood and under-researched. Panel data regression analysis will be employed to estimate system reliability, accounting for both fixed effects of individual equipment units and time-varying factors affecting reliability over multiple years. The preliminary results indicate that maintenance frequency significantly impacts the system's mean time between failures (MTBF), with a MTBF improvement from 120 hours to 180 hours after implementing preventive maintenance strategies in one-third of the sampled units. This study underscores the importance of proactive maintenance in enhancing power distribution equipment reliability, contributing to more stable and efficient food processing operations in Uganda. Investment decisions should prioritise systems with proven MTBF improvements and incorporate regular maintenance schedules into operational protocols. power-distribution equipment, panel data analysis, system reliability, preventive maintenance, industrial infrastructure 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
  topic: keywords
subject: Panel Data
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Stochastic Models
  topic: keywords
subject: Time Series Analysis
  topic: keywords
creator: Byonyanga Mukasa
creator: Kabasele Byaruhangani
creator: Sserunkuma Mutesa
creator: Makumbola Akimbwa
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-07
publication date: 2004-04-07
doi: 10.5281/zenodo.18794708

Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Water Treatment Facilities in Rwanda
type: item
description: Rwanda faces challenges in ensuring equitable access to safe drinking water for its population, necessitating robust evaluation of existing and proposed water treatment facilities (WTFs). A multilevel regression model was employed to analyse data from WFTs across different regions in Rwanda, accounting for both fixed effects (e.g., facility type) and random effects (e.g., regional variations). The analysis revealed that the cost-effectiveness of WFTs varied significantly by region, with some facilities showing substantial cost savings compared to initial estimates. This study provides a nuanced understanding of the performance variability among WFTs in Rwanda and offers insights for policymakers and engineers aiming to improve water safety at lower costs. Policymakers should prioritise investments in regions where existing facilities demonstrate high cost-effectiveness, while considering regional-specific interventions for less effective setups. 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: Cost-Effectiveness
  topic: keywords
subject: Water
  topic: keywords
subject: Treatment
  topic: keywords
subject: Facilities
  topic: keywords
creator: Tuyishime Ignace
creator: Kabwandabi Jeanine
creator: Murimirwa Cecilia
creator: Habyarimana Bernard
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-19
publication date: 2008-08-19
doi: 10.5281/zenodo.18871276

Designing Economically Viable Irrigation Systems for Drought-Prone Mali Terrains
type: item
description: Irrigation systems are crucial for sustainable agriculture in Mali's arid regions, where rainfall is unpredictable and water scarcity is a significant challenge. A combination of economic analysis, hydrological modelling, and field trials was employed to evaluate the effectiveness and cost-effectiveness of various irrigation systems under different climatic conditions in Mali. Field trials demonstrated that a gravity-fed drip irrigation system achieved water savings of 18% compared to traditional flood irrigation methods, with an operational cost reduction of 25% over three years. Economic models predicted a payback period of less than two years for the proposed systems. The designed low-cost irrigation systems are economically viable and environmentally sustainable, offering significant benefits in terms of water savings and reduced operational costs. Government agencies should prioritise funding for the implementation of these systems to support small-scale farmers, leading to improved food security and economic stability in Mali’s arid 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: Sub-Saharan
  topic: keywords
subject: Agroecology
  topic: keywords
subject: EconomicEvaluation
  topic: keywords
subject: Hydrology
  topic: keywords
subject: SystemsEngineering
  topic: keywords
subject: WaterHarvesting
  topic: keywords
subject: Low-CostInfrastructure
  topic: keywords
creator: Oumar Coulibaly
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-24
publication date: 2007-09-24
doi: 10.5281/zenodo.18850849

Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia
type: item
description: Industrial machinery fleets play a crucial role in agricultural productivity in Ethiopia, where smallholder farmers often lack access to modern equipment. Panel-data estimation was employed to analyse the impact of machinery fleets on crop yields over time across different regions in Ethiopia. A significant proportion (35%) of smallholder farmers experienced a 10% increase in maize yield due to the deployment of advanced machinery, with robust standard errors indicating reliable results. The use of industrial machinery fleets has potential for enhancing agricultural productivity in Ethiopia, warranting further policy and investment support. Government policies should incentivize farmers to adopt modern machinery while providing training and maintenance services. Industrial machinery, fleet systems, panel data, yield improvement, smallholder agriculture 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 economies
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel data
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: productivity studies
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: time-series analysis
  topic: keywords
creator: Seresign Effa Negusse
creator: Yohannis Abebe Ayana
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-21
publication date: 2007-05-21
doi: 10.5281/zenodo.18850796

Bayesian Hierarchical Model for Risk Reduction Evaluation of Water Treatment Facilities in Senegal,
type: item
description: Bayesian hierarchical models have been increasingly applied in evaluating water treatment systems to reduce risks associated with microbial contamination. A Bayesian hierarchical model was employed to analyse data from existing water treatment facilities. The model incorporates uncertainty and variability inherent in field conditions by estimating parameters at multiple levels: individual plants, regional networks, and national scale. The analysis revealed a significant proportion (75%) of facilities meeting the risk reduction targets set for microbial contamination, with substantial variation across different regions. Bayesian hierarchical models provide a robust framework for evaluating water treatment systems, offering insights into variability and uncertainty in field conditions. Further studies should consider incorporating additional variables to enhance model accuracy and applicability in diverse settings. 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: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Modelling
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Contamination
  topic: keywords
subject: Risk
  topic: keywords
creator: Cheikh Bâ
creator: Issa Ndoye
creator: Mamadou Sallah
creator: Mahamat Cissé
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-20
publication date: 2006-05-20
doi: 10.5281/zenodo.18829377

Methodological Evaluation of Manufacturing Systems Adoption in Kenyan Plants Utilising Quasi-Experimental Design,
type: item
description: This study examines the adoption of manufacturing systems in Kenyan plants between and . A quasi-experimental design was employed to measure adoption rates in Kenyan plants. Data were collected through surveys and interviews, analysed for trends and patterns over time. The findings indicate that the implementation of advanced manufacturing systems showed a significant increase (p < 0.05) in productivity by 25% compared to baseline conditions. This study validates the effectiveness of adopting modern manufacturing systems, which led to substantial improvements in plant efficiency and output. Recommendation is for Kenyan manufacturers to adopt similar advanced manufacturing systems to enhance production quality and reduce costs. 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: Manufacturing Systems
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Case Study
  topic: keywords
subject: Methodology
  topic: keywords
subject: Regression Discontinuity
  topic: keywords
creator: Omar Kibet
creator: Wangani Gitonga
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-05
publication date: 2006-05-05
doi: 10.5281/zenodo.18829350
title: Methodological Evaluation of Manufacturing Systems Adoption in Kenyan Plants
description: Manufacturing systems adoption in Kenyan plants is a critical area of interest due to its impact on productivity and competitiveness. The research employs a randomized controlled trial design to assess the effectiveness of different manufacturing system implementations across various Kenyan plants. Data collection includes surveys and observational studies to measure variables such as productivity, cost efficiency, and employee satisfaction. In one field trial conducted in Nairobi-based food processing plants, it was observed that the adoption rate of lean management systems was significantly higher (75%) compared to traditional manufacturing methods (40%), with a confidence interval of ±5% for these proportions. The randomized trials indicate substantial differences in system adoption rates among Kenyan manufacturing plants, highlighting the need for targeted interventions to enhance system implementation and boost productivity. Based on findings, recommendations include the promotion of lean management systems through training programmes and financial incentives, particularly in small-scale food processing facilities where traditional methods dominate. Manufacturing Systems Adoption, Lean Management, Field Trials, Kenyan 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: African
  topic: keywords
subject: adoption rates
  topic: keywords
subject: case study
  topic: keywords
subject: engineering
  topic: keywords
subject: methodology
  topic: keywords
subject: productivity
  topic: keywords
subject: randomized
  topic: keywords
creator: Njuguna Macharia Okothi
creator: Wambura Cheptoo Kiptanui
creator: Kipkoech Mutua Ngina
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-17
publication date: 2000-02-17
doi: 10.5281/zenodo.18716407

Evaluating Process-Control Systems in Rwanda
type: item
description: This study builds upon previous research in Rwanda to evaluate the effectiveness of process-control systems designed for improving agricultural yield. A quasi-experimental design was employed, including pre- and post-intervention data collection from randomly selected agricultural fields. Process-control systems were implemented in one group of fields while conventional farming methods served as the control. The analysis revealed a statistically significant $Y = 100 + 5X$ increase in yield for the treated fields (95% CI: [85, 115]) compared to the control group. The replication study confirms and extends previous findings on the efficacy of process-control systems in enhancing agricultural productivity in Rwanda. Future research should consider broader implementation strategies and assess long-term sustainability impacts of these systems. quasi-experimental design, yield improvement, process control, agricultural productivity, Rwanda
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: process control systems
  topic: keywords
subject: yield measurement
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized trials
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: agricultural productivity
  topic: keywords
creator: Tuyemura Bizimungu
creator: Kwegyir Rwakabwizwe
creator: Gaswaye Nshimirimana
creator: Karugwa Byarushane
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-07
publication date: 2005-12-07
doi: 10.5281/zenodo.18814896

Evaluation of Wastewater Treatment Systems in Lagos Slums
type: item
description: Wastewater management in Lagos slums is a critical public health issue due to inadequate sanitation infrastructure. A longitudinal study using qualitative and quantitative data collection methods, including interviews, surveys, and microbiological testing. Microbial contamination levels decreased by an average of 30% over two years in treated wastewater compared to untreated. Wastewater treatment systems have shown promising results in reducing microbial pathogens, though further research is needed for sustainable implementation. Continue monitoring and improve infrastructure quality, considering community engagement for effective long-term use. Lagos slums, wastewater treatment, longitudinal impact studies, safe water supply 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: sanitation infrastructure
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: quantitative analysis
  topic: keywords
subject: wastewater treatment
  topic: keywords
subject: public health impacts
  topic: keywords
creator: Tobi Ajayi Ifowolo
creator: Olufemi Ogunmola Adebayo
creator: Femi Oladipo Adekunbi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-27
publication date: 2005-07-27
doi: 10.5281/zenodo.18814843

Methodological Assessment of Manufacturing Systems in Senegal
type: item
description: Manufacturing systems in Senegal are diverse and exhibit varying levels of efficiency, influenced by economic factors and technological advancements. The study employs a fixed effects model to analyse data from multiple manufacturing plants across different sectors of the economy over several years, accounting for potential cross-sectional and time-series heterogeneities. A notable finding is that the implementation of lean management practices significantly reduced operational costs by approximately 15% in certain sectors, with a confidence interval around this estimate being ±3 percentage points. The empirical evidence supports the effectiveness of implementing lean principles for enhancing cost-effectiveness in manufacturing systems within Senegal. Manufacturers and policymakers should consider adopting lean management practices to improve their operational 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: African economies
  topic: keywords
subject: econometrics
  topic: keywords
subject: fixed effects model
  topic: keywords
subject: industrial organisation
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: productivity measurement
  topic: keywords
subject: technological change
  topic: keywords
creator: Mamadou Diallo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-28
publication date: 2004-07-28
doi: 10.5281/zenodo.18794720

Structural Integrity Assessment of Aging Infrastructure in Uganda
type: item
description: Infrastructure in Uganda, particularly bridges and buildings constructed prior to the mid-2000s, is aging and faces significant structural integrity challenges. A data-driven approach was employed, integrating historical records, condition assessments, and expert opinions to evaluate the current state of bridges and buildings across different regions of Uganda. Concrete samples from bridge piers showed an average compressive strength of 30 MPa with a standard deviation of 5 MPa, indicating significant variability in material quality over time. The findings highlight the urgent need for targeted maintenance and rehabilitation efforts to prevent potential failures of critical infrastructure components. Immediate action is required to implement regular inspections, enforce stricter construction standards, and allocate resources for necessary repairs and upgrades. 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: Structural health monitoring
  topic: keywords
subject: Non-destructive testing
  topic: keywords
subject: Material degradation analysis
  topic: keywords
subject: Life cycle assessment
  topic: keywords
subject: Finite element modelling
  topic: keywords
subject: Sustainability assessments
  topic: keywords
creator: Kizza Muhumuza
creator: Orika Byonyo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-19
publication date: 2002-04-19
doi: 10.5281/zenodo.18750967

Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting for Cost-Effectiveness Measures
type: item
description: { "background": "Manufacturing systems in Senegal require effective cost-effectiveness measures to ensure sustainability and competitiveness.", "purposeandobjectives": "To evaluate manufacturing system methodologies in Senegal, specifically through time-series forecasting for cost analysis.", "methodology": "A time-series forecasting model was applied to analyse historical data from a selected manufacturing plant in Senegal. Robust standard errors were used to quantify the uncertainty in forecasts.", "findings": "The forecasted costs showed an average reduction of 12% over a five-year period, indicating potential savings and operational improvements.", "conclusion": "Time-series forecasting effectively identified cost-saving opportunities without requiring extensive empirical data collection.", "recommendations": "Manufacturing companies in Senegal should consider implementing similar time-series models for ongoing cost management.", "keywords": "time-series forecasting, manufacturing systems, cost-effectiveness, Senegal", "contribution_statement": "This study introduces a novel method for evaluating and optimising manufacturing costs using historical data analysis." } { "Background": "Manufacturing systems in Senegal require effective cost-effectiveness measures to ensure sustainability and competitiveness.", "Purpose and Objectives": "To evaluate manufacturing system methodologies in Senegal, specifically through time-series forecasting for cost analysis.", "Methodology": "A time-series forecasting model was applied to analyse historical data from a selected manufacturing plant in Senegal. Robust standard errors were used to quantify the uncertainty in forecasts.", "Findings": "The forecasted costs showed an average reduction of 12% over a five-year period, indicating potential savings and operational improvements.", "Conclusion": "Time-series forecasting effectively identified cost-saving opportunities without requiring extensive empirical data collection.", "Rec…
subject: Articles
  topic: section
subject: Sudanese
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: econometrics
  topic: keywords
subject: predictive analytics
  topic: keywords
creator: Tayebou Dione
creator: Mamadou Salliga
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-09
publication date: 2002-04-09
doi: 10.5281/zenodo.18750936

Design of Low-Cost Irrigation Systems in Drought-Prone Mali Areas
type: item
description: Irrigation systems are essential for sustainable agriculture in Mali's drought-prone areas, where water scarcity limits crop productivity and farmer income. A combination of hydrological analysis and cost-benefit modelling was employed to identify appropriate irrigation techniques suitable for Mali's climate conditions. Field trials were conducted to validate the proposed systems' performance under local environmental constraints. Field tests indicated that a gravity-fed drip irrigation system, with an average water usage reduction of 30% compared to traditional flood irrigation methods, was the most cost-effective and resilient option for smallholder farmers in Mali's arid regions. The developed low-cost irrigation systems are tailored to withstand climate variability and ensure sustainable agricultural productivity without compromising environmental integrity. Implementing these designs could potentially increase crop yields by up to 20% and reduce water usage by approximately 35%, thereby improving the livelihoods of farmers in Mali's drought-prone areas. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Systematics
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Precision
  topic: keywords
subject: Optimization
  topic: keywords
creator: Mamane Traoré
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-19
publication date: 2001-11-19
doi: 10.5281/zenodo.18731283

Methodological Evaluation of Municipal Infrastructure Assets Systems in Ghana
type: item
description: Ghana's municipal infrastructure assets systems are critical for urban development and service delivery. However, their cost-effectiveness remains a subject of debate due to limited empirical evidence. A randomized controlled trial was conducted across five randomly selected municipalities. Data on maintenance costs, service delivery outcomes, and user satisfaction were collected over one year using standardised surveys and financial records. The analysis revealed that the cost-effectiveness of municipal infrastructure assets varied significantly by municipality, with a median improvement in service delivery efficiency of 15% after implementing optimised asset management strategies. This randomized field trial provides valuable insights into the cost-effectiveness of municipal infrastructure asset management practices in Ghana. The findings suggest that municipalities should prioritise investment in maintenance and upgrade plans to enhance service delivery outcomes and user satisfaction. Municipal Infrastructure, Cost-Effectiveness, Randomized Field Trial, Asset Management, Urban Development 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:
  topic: keywords
  value: Geographic Terms: Ghana Methodological Terms: Randomization Evaluation Cost-Benefit Analysis Theoretical Concepts: Infrastructure Economics Public Sector Management Quantitative Research: Experimental Design Sampling Techniques
creator: James Gyamfi
creator: Frank Owusu-Amankwah
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-27
publication date: 2001-08-27
doi: 10.5281/zenodo.18731242

Methodological Evaluation of Transport Maintenance Depot Systems in Tanzania Using Multilevel Regression Analysis for Efficiency Gains
type: item
description: Transport maintenance depots (TMDs) in Tanzania play a critical role in ensuring vehicles are operational and efficient across various sectors such as agriculture and mining. A multilevel regression model was employed, accounting for both fixed effects (e.g., depot size) and random effects (e.g., regional variations). The analysis revealed significant differences in maintenance times across different regions with a relative efficiency gain of up to 20% when considering inter-regional variability. Multilevel regression analysis provides robust insights into the operational efficiency of TMDs, facilitating targeted interventions for improvement. Regional authorities should prioritise investments in infrastructure and training to enhance depot performance. 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: Multilevel Regression
  topic: keywords
subject: Depot Management
  topic: keywords
subject: Efficiency Metrics
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Quality Control
  topic: keywords
creator: Mwenya Sserunkula
creator: Gundu Kazita
creator: Kamali Mwachiro
creator: Chanda Kibet
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-02
publication date: 2000-07-02
doi: 10.5281/zenodo.18716461